Business Intelligence is an umbrella term that combines architectures, applications, and databases. It enables the real-time, interactive access, analysis, and manipulation of information, which provides the business community with easy access to business data. By giving this valuable insight, BI helps decision-makers make more informed decisions and supplies end-users with critical business information on their customers or partners, including information on behaviours and trends.”

1. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
An Overview of Qspear
Business Intelligence
Services
Without BI, a company runs the risk of making critical decisions based on insufficient or inaccurate information.
Making decisions based on "gut feel" will not get the job done !!
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
An Overview of Qspear
Business Intelligence
Services
Without BI, a company runs the risk of making critical decisions based on insufficient or inaccurate information.
Making decisions based on "gut feel" will not get the job done !!
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
An Overview of Qspear
Business Intelligence
Services
Without BI, a company runs the risk of making critical decisions based on insufficient or inaccurate information.
Making decisions based on "gut feel" will not get the job done !!

2. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Introduction
Enterprise resources planning (ERP) and customer relationship management (CRM) applications— help in
streamlining the operations and increase the efficiencies. Today, companies realize that the information locked in
enterprise and legacy systems is incredibly valuable. Accessing and understanding this information improves a
company’s ability to manage costs and grow margins. However, the information must be complete, current, and
adequate to answer critical business questions. And most organizations struggle to access and extract the right data
from multiple systems and to deliver insight to the right person at the right time. Analytic applications can be the
answer to the data access and insight delivery challenges.
Business Intelligence Benefits:
 Share information efficiently and effectively with people across your organization. BI makes it easy for everyone-
from decision-makers to functional teams- to access and analyze up-to-date information anytime, anywhere.
Everyone throughout the company can make better decisions, faster.
 Empower your people. Providing employees with access to analytical data that is readily available and
understandable allows them to work more effectively and support the overall business strategy.
 Simplify collaboration and sharing and improve alignment with a single source for accurate financial and
operational information. Having a single, central location allows you to monitor your key performance indicators
(KPIs), access reports, analyze your data, and share documents. All of the functional areas are aligned to articulate
strategies, set objectives, and monitor the organization’s performance so you can make better informed and timely
decisions that support your overall business strategy.
 Gain insights to understand and analyze your business performance and opportunities on a deeper level. Analyze
and evaluate information that is more accessible and easy to interact with to make strategic and tactical decisions.
 Deliver meaningful analysis and reporting. Readily track and analyze KPIs against key business goals to gain a better
understanding of how your business is performing today and not when it’s too late to impact performance.
 Have a solution with the scalability and flexibility to grow and change as your organization does. Many companies
rely solely on the most widely used BI tool, the Excel spreadsheet. While Excel offers many useful features such as
graphs, charts, and pivot tables which assist in decision-making, it doesn’t scale to your business. Also, compiling
data from multiple, disparate databases are time-consuming and are prone to errors. However, Excel is still a key
component of a total BI solution.
Business Intelligence is an umbrella term that combines architectures,
applications, and databases. It enables the real-time, interactive access,
analysis, and manipulation of information, which provides the business
community with easy access to business data. By giving this valuable insight,
BI helps decision-makers make more informed decisions and supplies end-
users with critical business information on their customers or partners,
including information on behaviors and trends.”
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Introduction
Enterprise resources planning (ERP) and customer relationship management (CRM) applications— help in
streamlining the operations and increase the efficiencies. Today, companies realize that the information locked in
enterprise and legacy systems is incredibly valuable. Accessing and understanding this information improves a
company’s ability to manage costs and grow margins. However, the information must be complete, current, and
adequate to answer critical business questions. And most organizations struggle to access and extract the right data
from multiple systems and to deliver insight to the right person at the right time. Analytic applications can be the
answer to the data access and insight delivery challenges.
Business Intelligence Benefits:
 Share information efficiently and effectively with people across your organization. BI makes it easy for everyone-
from decision-makers to functional teams- to access and analyze up-to-date information anytime, anywhere.
Everyone throughout the company can make better decisions, faster.
 Empower your people. Providing employees with access to analytical data that is readily available and
understandable allows them to work more effectively and support the overall business strategy.
 Simplify collaboration and sharing and improve alignment with a single source for accurate financial and
operational information. Having a single, central location allows you to monitor your key performance indicators
(KPIs), access reports, analyze your data, and share documents. All of the functional areas are aligned to articulate
strategies, set objectives, and monitor the organization’s performance so you can make better informed and timely
decisions that support your overall business strategy.
 Gain insights to understand and analyze your business performance and opportunities on a deeper level. Analyze
and evaluate information that is more accessible and easy to interact with to make strategic and tactical decisions.
 Deliver meaningful analysis and reporting. Readily track and analyze KPIs against key business goals to gain a better
understanding of how your business is performing today and not when it’s too late to impact performance.
 Have a solution with the scalability and flexibility to grow and change as your organization does. Many companies
rely solely on the most widely used BI tool, the Excel spreadsheet. While Excel offers many useful features such as
graphs, charts, and pivot tables which assist in decision-making, it doesn’t scale to your business. Also, compiling
data from multiple, disparate databases are time-consuming and are prone to errors. However, Excel is still a key
component of a total BI solution.
Business Intelligence is an umbrella term that combines architectures,
applications, and databases. It enables the real-time, interactive access,
analysis, and manipulation of information, which provides the business
community with easy access to business data. By giving this valuable insight,
BI helps decision-makers make more informed decisions and supplies end-
users with critical business information on their customers or partners,
including information on behaviors and trends.”
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Introduction
Enterprise resources planning (ERP) and customer relationship management (CRM) applications— help in
streamlining the operations and increase the efficiencies. Today, companies realize that the information locked in
enterprise and legacy systems is incredibly valuable. Accessing and understanding this information improves a
company’s ability to manage costs and grow margins. However, the information must be complete, current, and
adequate to answer critical business questions. And most organizations struggle to access and extract the right data
from multiple systems and to deliver insight to the right person at the right time. Analytic applications can be the
answer to the data access and insight delivery challenges.
Business Intelligence Benefits:
 Share information efficiently and effectively with people across your organization. BI makes it easy for everyone-
from decision-makers to functional teams- to access and analyze up-to-date information anytime, anywhere.
Everyone throughout the company can make better decisions, faster.
 Empower your people. Providing employees with access to analytical data that is readily available and
understandable allows them to work more effectively and support the overall business strategy.
 Simplify collaboration and sharing and improve alignment with a single source for accurate financial and
operational information. Having a single, central location allows you to monitor your key performance indicators
(KPIs), access reports, analyze your data, and share documents. All of the functional areas are aligned to articulate
strategies, set objectives, and monitor the organization’s performance so you can make better informed and timely
decisions that support your overall business strategy.
 Gain insights to understand and analyze your business performance and opportunities on a deeper level. Analyze
and evaluate information that is more accessible and easy to interact with to make strategic and tactical decisions.
 Deliver meaningful analysis and reporting. Readily track and analyze KPIs against key business goals to gain a better
understanding of how your business is performing today and not when it’s too late to impact performance.
 Have a solution with the scalability and flexibility to grow and change as your organization does. Many companies
rely solely on the most widely used BI tool, the Excel spreadsheet. While Excel offers many useful features such as
graphs, charts, and pivot tables which assist in decision-making, it doesn’t scale to your business. Also, compiling
data from multiple, disparate databases are time-consuming and are prone to errors. However, Excel is still a key
component of a total BI solution.
Business Intelligence is an umbrella term that combines architectures,
applications, and databases. It enables the real-time, interactive access,
analysis, and manipulation of information, which provides the business
community with easy access to business data. By giving this valuable insight,
BI helps decision-makers make more informed decisions and supplies end-
users with critical business information on their customers or partners,
including information on behaviors and trends.”

3. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Why Business Intelligence?
If your organization is struggling to manage, find, sort, filter and use information in a meaningful way, we encourage
you to know more about Oracle Business Intelligence Enterprise Edition & Oracle Data integration Services.
Oracle Business Intelligence Enterprise Edition can provide comprehensive, integrated capabilities for query, BI
reporting and analysis in a single, user-friendly, browser interface and maximize corporate performance through the
use of powerful features like Balanced Scorecards, interactive dashboards, OLAP analysis, graphs, reports, exception
alerts and other tools.
Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and
handling complex data transformations. ODI eliminates the need for a standalone ETL server and proprietary engine
it also helps in providing a certain level of data quality without using an external data quality engine.
The Benefits of OBIEE, Oracle Business Intelligence Enterprise Edition are:
 ComprehensiveBI functionality
o Includes interactive dashboards
o Full ad hoc queries and analysis
o Proactive intelligence delivery and alerts
o Enterprise and financial reporting,
o Online analytical processing (OLAP) analysis and presentation
o High-volume production reporting
o Real-time predictive intelligence
o Disconnected analytics
o Full integration with Microsoft Office.
 Usability
o Provides relevant insight to everyone, not just analysts
o All levels of the organization can see information optimized for their role.
 Unified business model
o Built on an enterprise information model that unifies metadata across the Oracle BI tools and
analytical applications for the lowest TCO.
 Hot-Pluggable infrastructure
o Integrates with any data source, extraction, transformation and load (ETL) tool, major business
application, application server, security infrastructure, portal technology, or any other front-endand
analytical tools
o Integrates with databases including IBM DB/2, Teradata, Microsoft SQL Server; SAP Business
Information Warehouse(BW), Microsoft Analysis Services; flat files; XMLdata; and unstructured
Data.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Why Business Intelligence?
If your organization is struggling to manage, find, sort, filter and use information in a meaningful way, we encourage
you to know more about Oracle Business Intelligence Enterprise Edition & Oracle Data integration Services.
Oracle Business Intelligence Enterprise Edition can provide comprehensive, integrated capabilities for query, BI
reporting and analysis in a single, user-friendly, browser interface and maximize corporate performance through the
use of powerful features like Balanced Scorecards, interactive dashboards, OLAP analysis, graphs, reports, exception
alerts and other tools.
Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and
handling complex data transformations. ODI eliminates the need for a standalone ETL server and proprietary engine
it also helps in providing a certain level of data quality without using an external data quality engine.
The Benefits of OBIEE, Oracle Business Intelligence Enterprise Edition are:
 ComprehensiveBI functionality
o Includes interactive dashboards
o Full ad hoc queries and analysis
o Proactive intelligence delivery and alerts
o Enterprise and financial reporting,
o Online analytical processing (OLAP) analysis and presentation
o High-volume production reporting
o Real-time predictive intelligence
o Disconnected analytics
o Full integration with Microsoft Office.
 Usability
o Provides relevant insight to everyone, not just analysts
o All levels of the organization can see information optimized for their role.
 Unified business model
o Built on an enterprise information model that unifies metadata across the Oracle BI tools and
analytical applications for the lowest TCO.
 Hot-Pluggable infrastructure
o Integrates with any data source, extraction, transformation and load (ETL) tool, major business
application, application server, security infrastructure, portal technology, or any other front-endand
analytical tools
o Integrates with databases including IBM DB/2, Teradata, Microsoft SQL Server; SAP Business
Information Warehouse(BW), Microsoft Analysis Services; flat files; XMLdata; and unstructured
Data.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Why Business Intelligence?
If your organization is struggling to manage, find, sort, filter and use information in a meaningful way, we encourage
you to know more about Oracle Business Intelligence Enterprise Edition & Oracle Data integration Services.
Oracle Business Intelligence Enterprise Edition can provide comprehensive, integrated capabilities for query, BI
reporting and analysis in a single, user-friendly, browser interface and maximize corporate performance through the
use of powerful features like Balanced Scorecards, interactive dashboards, OLAP analysis, graphs, reports, exception
alerts and other tools.
Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and
handling complex data transformations. ODI eliminates the need for a standalone ETL server and proprietary engine
it also helps in providing a certain level of data quality without using an external data quality engine.
The Benefits of OBIEE, Oracle Business Intelligence Enterprise Edition are:
 ComprehensiveBI functionality
o Includes interactive dashboards
o Full ad hoc queries and analysis
o Proactive intelligence delivery and alerts
o Enterprise and financial reporting,
o Online analytical processing (OLAP) analysis and presentation
o High-volume production reporting
o Real-time predictive intelligence
o Disconnected analytics
o Full integration with Microsoft Office.
 Usability
o Provides relevant insight to everyone, not just analysts
o All levels of the organization can see information optimized for their role.
 Unified business model
o Built on an enterprise information model that unifies metadata across the Oracle BI tools and
analytical applications for the lowest TCO.
 Hot-Pluggable infrastructure
o Integrates with any data source, extraction, transformation and load (ETL) tool, major business
application, application server, security infrastructure, portal technology, or any other front-endand
analytical tools
o Integrates with databases including IBM DB/2, Teradata, Microsoft SQL Server; SAP Business
Information Warehouse(BW), Microsoft Analysis Services; flat files; XMLdata; and unstructured
Data.

4. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Qspear Consultancy Services
Qspear is specialized in providing business consulting and IT services and end-to-end lifecycle consulting. We believe
that each company is unique in its opportunities and challenges, requirements and culture, so there must be a unique
IT solution and Services to cater company’s unique requirements.
Qspear’s certified consulting team is focused exclusively on Oracle Technologies, who know how to best optimize
your investment in Oracle products and can provide your business with tightly integrated, Comprehensive, superior
services throughout your ownership experience.
We are flexible to conform to our clients and their needs in realizing their business potential through Business
Process and IT Transformation. We implement the enterprise wide IT solutions in a cost effective, time bound,
qualitative manner ensuring customer satisfaction in every project.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Qspear Consultancy Services
Qspear is specialized in providing business consulting and IT services and end-to-end lifecycle consulting. We believe
that each company is unique in its opportunities and challenges, requirements and culture, so there must be a unique
IT solution and Services to cater company’s unique requirements.
Qspear’s certified consulting team is focused exclusively on Oracle Technologies, who know how to best optimize
your investment in Oracle products and can provide your business with tightly integrated, Comprehensive, superior
services throughout your ownership experience.
We are flexible to conform to our clients and their needs in realizing their business potential through Business
Process and IT Transformation. We implement the enterprise wide IT solutions in a cost effective, time bound,
qualitative manner ensuring customer satisfaction in every project.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Qspear Consultancy Services
Qspear is specialized in providing business consulting and IT services and end-to-end lifecycle consulting. We believe
that each company is unique in its opportunities and challenges, requirements and culture, so there must be a unique
IT solution and Services to cater company’s unique requirements.
Qspear’s certified consulting team is focused exclusively on Oracle Technologies, who know how to best optimize
your investment in Oracle products and can provide your business with tightly integrated, Comprehensive, superior
services throughout your ownership experience.
We are flexible to conform to our clients and their needs in realizing their business potential through Business
Process and IT Transformation. We implement the enterprise wide IT solutions in a cost effective, time bound,
qualitative manner ensuring customer satisfaction in every project.

5. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Oracle Business Intelligence Enterprise Edition
Oracle Business Intelligence Enterprise Edition(OBIEE) is an unmatched and comprehensive business intelligence
and analytics platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries,
mobile analytics, notifications and alerts, enterprise and financial reporting, scorecard and strategy
management, business process invocation, unstructured search and collaboration, integrated systems
management and more. OBIEE is built on a proven and modern technological foundation that supports the
highest workloads and most complex deployments, while providing timely insights to users across an enterprise
at a low overall total cost of ownership:
Services:
Architecting, integrating and leveraging information
to enhance business value
Knowing more about your business—and knowing it faster than others—is the best way to power
innovation and gain an edge on your competition.
Software
Oracle Business
Intelligence
Enterprise Edition
(OBIEE)
Oracle EPM Data
Integration
Services(ODI)
Strategy & Roadmap
Architecting integrated solution blueprints for Business
Intelligence (BI) & Data Warehouse (DW) analytics
Design & Implementation
Delivering robust & maintainable BI and DW
environments
Oracle E-Business Suite Analytic Products
• Product installation & configuration per Oracle
recommended best practices
• Implementation & enhancement of pre-built Oracle
solutions
Quickstart Programs / Migration Solutions
• Essbase quickstart program - from set up to fully
functional within weeks
• Quickstart program, custom dashboard solutions,
user friendly ad hoc analysis for Oracle OBIEE &
Business Intelligence Application programs
• Turnkey migration solutions to OBIEE for customers
using Oracle Discoverer
Health-check, technical review services across BI, DW
& ETL environments
Reliable & real-time business data to
support informed & rapid decision
making
Intuitive, self-service access to
business information / data
Maximum visibility into performance
of business network
Greater insights from business data to
help identify new opportunities &
drive highest ROI, lowest TCO &
competitive advantage in the market
Enhanced operational efficiencies /
smarter business processes
Improved planning, budgeting &
forecasting abilities
Value
Value
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Oracle Business Intelligence Enterprise Edition
Oracle Business Intelligence Enterprise Edition(OBIEE) is an unmatched and comprehensive business intelligence
and analytics platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries,
mobile analytics, notifications and alerts, enterprise and financial reporting, scorecard and strategy
management, business process invocation, unstructured search and collaboration, integrated systems
management and more. OBIEE is built on a proven and modern technological foundation that supports the
highest workloads and most complex deployments, while providing timely insights to users across an enterprise
at a low overall total cost of ownership:
Services:
Architecting, integrating and leveraging information
to enhance business value
Knowing more about your business—and knowing it faster than others—is the best way to power
innovation and gain an edge on your competition.
Software
Oracle Business
Intelligence
Enterprise Edition
(OBIEE)
Oracle EPM Data
Integration
Services(ODI)
Strategy & Roadmap
Architecting integrated solution blueprints for Business
Intelligence (BI) & Data Warehouse (DW) analytics
Design & Implementation
Delivering robust & maintainable BI and DW
environments
Oracle E-Business Suite Analytic Products
• Product installation & configuration per Oracle
recommended best practices
• Implementation & enhancement of pre-built Oracle
solutions
Quickstart Programs / Migration Solutions
• Essbase quickstart program - from set up to fully
functional within weeks
• Quickstart program, custom dashboard solutions,
user friendly ad hoc analysis for Oracle OBIEE &
Business Intelligence Application programs
• Turnkey migration solutions to OBIEE for customers
using Oracle Discoverer
Health-check, technical review services across BI, DW
& ETL environments
Reliable & real-time business data to
support informed & rapid decision
making
Intuitive, self-service access to
business information / data
Maximum visibility into performance
of business network
Greater insights from business data to
help identify new opportunities &
drive highest ROI, lowest TCO &
competitive advantage in the market
Enhanced operational efficiencies /
smarter business processes
Improved planning, budgeting &
forecasting abilities
Value
Value
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Oracle Business Intelligence Enterprise Edition
Oracle Business Intelligence Enterprise Edition(OBIEE) is an unmatched and comprehensive business intelligence
and analytics platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries,
mobile analytics, notifications and alerts, enterprise and financial reporting, scorecard and strategy
management, business process invocation, unstructured search and collaboration, integrated systems
management and more. OBIEE is built on a proven and modern technological foundation that supports the
highest workloads and most complex deployments, while providing timely insights to users across an enterprise
at a low overall total cost of ownership:
Services:
Architecting, integrating and leveraging information
to enhance business value
Knowing more about your business—and knowing it faster than others—is the best way to power
innovation and gain an edge on your competition.
Software
Oracle Business
Intelligence
Enterprise Edition
(OBIEE)
Oracle EPM Data
Integration
Services(ODI)
Strategy & Roadmap
Architecting integrated solution blueprints for Business
Intelligence (BI) & Data Warehouse (DW) analytics
Design & Implementation
Delivering robust & maintainable BI and DW
environments
Oracle E-Business Suite Analytic Products
• Product installation & configuration per Oracle
recommended best practices
• Implementation & enhancement of pre-built Oracle
solutions
Quickstart Programs / Migration Solutions
• Essbase quickstart program - from set up to fully
functional within weeks
• Quickstart program, custom dashboard solutions,
user friendly ad hoc analysis for Oracle OBIEE &
Business Intelligence Application programs
• Turnkey migration solutions to OBIEE for customers
using Oracle Discoverer
Health-check, technical review services across BI, DW
& ETL environments
Reliable & real-time business data to
support informed & rapid decision
making
Intuitive, self-service access to
business information / data
Maximum visibility into performance
of business network
Greater insights from business data to
help identify new opportunities &
drive highest ROI, lowest TCO &
competitive advantage in the market
Enhanced operational efficiencies /
smarter business processes
Improved planning, budgeting &
forecasting abilities
Value
Value

6. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
 Interactive Dashboards
 Ad hoc Analysis and
Interactive Reporting.
 Mobile Analytics
 Enterprise Reporting
 Proactive Detection and
Alerts.
 Actionable Intelligence.
 Microsoft Office Integration
 Spatial Visualizations and
Analytics.
 Scorecard and Strategy
Management
 Server based query,
reporting, and analysis.
 Hierarchy Drilling
 Drive innovation. Explore
and discover new insights
by combining structured
and unstructured data
 Deploy business best
practices for line of business
analysis and financial
management using
packaged analytic
applications
 Make insights accessible to
anyone, anytime and
anywhere with mobile
business intelligence
 Provide extreme
performance and lower
total cost of ownership with
Engineered Systems
Key Features
&Benefits
Manage Measure and Control Costs, Finances,
Resources, Customers, Sales, Products,
Procedures And More!!
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
 Interactive Dashboards
 Ad hoc Analysis and
Interactive Reporting.
 Mobile Analytics
 Enterprise Reporting
 Proactive Detection and
Alerts.
 Actionable Intelligence.
 Microsoft Office Integration
 Spatial Visualizations and
Analytics.
 Scorecard and Strategy
Management
 Server based query,
reporting, and analysis.
 Hierarchy Drilling
 Drive innovation. Explore
and discover new insights
by combining structured
and unstructured data
 Deploy business best
practices for line of business
analysis and financial
management using
packaged analytic
applications
 Make insights accessible to
anyone, anytime and
anywhere with mobile
business intelligence
 Provide extreme
performance and lower
total cost of ownership with
Engineered Systems
Key Features
&Benefits
Manage Measure and Control Costs, Finances,
Resources, Customers, Sales, Products,
Procedures And More!!
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
 Interactive Dashboards
 Ad hoc Analysis and
Interactive Reporting.
 Mobile Analytics
 Enterprise Reporting
 Proactive Detection and
Alerts.
 Actionable Intelligence.
 Microsoft Office Integration
 Spatial Visualizations and
Analytics.
 Scorecard and Strategy
Management
 Server based query,
reporting, and analysis.
 Hierarchy Drilling
 Drive innovation. Explore
and discover new insights
by combining structured
and unstructured data
 Deploy business best
practices for line of business
analysis and financial
management using
packaged analytic
applications
 Make insights accessible to
anyone, anytime and
anywhere with mobile
business intelligence
 Provide extreme
performance and lower
total cost of ownership with
Engineered Systems
Key Features
&Benefits
Manage Measure and Control Costs, Finances,
Resources, Customers, Sales, Products,
Procedures And More!!

7. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
OBIEE Dashboards:
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
OBIEE Dashboards:
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
OBIEE Dashboards:

8. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
 High Availability and Scalability
 Corporate Security Integration.
 Enterprise-Scale E-LT
Architecture
 Simplified Deployment and
Unified Administration
 Simplified Deployment
 Unified Administration and
Monitoring
 Enhanced Session Control
 Enhanced Error Management
 Design-Time Productivity
 Redesigned Interface Editor
 Auto-Fixing
 Quick-Edit
 Partitioning
 Lookups
 Derived Select for Temporary
Interfaces
 Automatic Temporary Index
Management
Key Features
&Benefits
Oracle Data Integrator - The Tool with EL-T thinking
Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused
on fast bulk data movement and handling complex data transformations. The 11g
version of ODI pushes the state of the art technology even further ahead of the
rest of the industry. Oracle has invested in the following key areas for ODI 11g:
ODI reduces the time spent in learning the product as well and helps in
increasing developer productivity
 ODI eliminates the need for a standalone ETL server and proprietary
engine. It leverages the power of a relational database like Oracle for
processing. Through this, ODI leverages set-based operations and as a
result provides much higher performance.
 ODI also helps in providing a certain level of data quality without using an
external data quality engine. This is achieved by using the data integrity
rules and constraints that are defined on the target data warehouse
and/or in the ODI tool models.
 ODI also supports heterogeneous databases other than Oracle such as
Teradata, DB2, etc. It also supports other technologies like web services,
flat files, XML, etc.
 ODI supports all platforms, hardware and operating systems with the
same software
 ODI is cost-effective, as it reduces the initial hardware setup cost and
does not require an ETL server and ETL engine. Also, the reduced learning
time and increased developer productivity decreases the labor costs of
the project.
Oracle Data Integrator is fully
integrated with the Oracle
technology stack, including
Database, Exadata, Business
Intelligence, and Applications.
ODI is the strategic data
integration platform for Oracle.
ODI is based on EL-T methodology
of data Integration.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
 High Availability and Scalability
 Corporate Security Integration.
 Enterprise-Scale E-LT
Architecture
 Simplified Deployment and
Unified Administration
 Simplified Deployment
 Unified Administration and
Monitoring
 Enhanced Session Control
 Enhanced Error Management
 Design-Time Productivity
 Redesigned Interface Editor
 Auto-Fixing
 Quick-Edit
 Partitioning
 Lookups
 Derived Select for Temporary
Interfaces
 Automatic Temporary Index
Management
Key Features
&Benefits
Oracle Data Integrator - The Tool with EL-T thinking
Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused
on fast bulk data movement and handling complex data transformations. The 11g
version of ODI pushes the state of the art technology even further ahead of the
rest of the industry. Oracle has invested in the following key areas for ODI 11g:
ODI reduces the time spent in learning the product as well and helps in
increasing developer productivity
 ODI eliminates the need for a standalone ETL server and proprietary
engine. It leverages the power of a relational database like Oracle for
processing. Through this, ODI leverages set-based operations and as a
result provides much higher performance.
 ODI also helps in providing a certain level of data quality without using an
external data quality engine. This is achieved by using the data integrity
rules and constraints that are defined on the target data warehouse
and/or in the ODI tool models.
 ODI also supports heterogeneous databases other than Oracle such as
Teradata, DB2, etc. It also supports other technologies like web services,
flat files, XML, etc.
 ODI supports all platforms, hardware and operating systems with the
same software
 ODI is cost-effective, as it reduces the initial hardware setup cost and
does not require an ETL server and ETL engine. Also, the reduced learning
time and increased developer productivity decreases the labor costs of
the project.
Oracle Data Integrator is fully
integrated with the Oracle
technology stack, including
Database, Exadata, Business
Intelligence, and Applications.
ODI is the strategic data
integration platform for Oracle.
ODI is based on EL-T methodology
of data Integration.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
 High Availability and Scalability
 Corporate Security Integration.
 Enterprise-Scale E-LT
Architecture
 Simplified Deployment and
Unified Administration
 Simplified Deployment
 Unified Administration and
Monitoring
 Enhanced Session Control
 Enhanced Error Management
 Design-Time Productivity
 Redesigned Interface Editor
 Auto-Fixing
 Quick-Edit
 Partitioning
 Lookups
 Derived Select for Temporary
Interfaces
 Automatic Temporary Index
Management
Key Features
&Benefits
Oracle Data Integrator - The Tool with EL-T thinking
Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused
on fast bulk data movement and handling complex data transformations. The 11g
version of ODI pushes the state of the art technology even further ahead of the
rest of the industry. Oracle has invested in the following key areas for ODI 11g:
ODI reduces the time spent in learning the product as well and helps in
increasing developer productivity
 ODI eliminates the need for a standalone ETL server and proprietary
engine. It leverages the power of a relational database like Oracle for
processing. Through this, ODI leverages set-based operations and as a
result provides much higher performance.
 ODI also helps in providing a certain level of data quality without using an
external data quality engine. This is achieved by using the data integrity
rules and constraints that are defined on the target data warehouse
and/or in the ODI tool models.
 ODI also supports heterogeneous databases other than Oracle such as
Teradata, DB2, etc. It also supports other technologies like web services,
flat files, XML, etc.
 ODI supports all platforms, hardware and operating systems with the
same software
 ODI is cost-effective, as it reduces the initial hardware setup cost and
does not require an ETL server and ETL engine. Also, the reduced learning
time and increased developer productivity decreases the labor costs of
the project.
Oracle Data Integrator is fully
integrated with the Oracle
technology stack, including
Database, Exadata, Business
Intelligence, and Applications.
ODI is the strategic data
integration platform for Oracle.
ODI is based on EL-T methodology
of data Integration.

9. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
EL-T Vs ETL
Objective
This will provide an in depth understanding and appreciation of the relative strengths and weaknesses of the two
different approaches of ETL and ELT in data warehouse design and implementation.
Data Management and Business Intelligence
Business Intelligence is not a technology, or technologies. It is the process by which data is turned into information
upon which informed business decisions can be made to effect change. It is therefore a philosophy. To achieve a DM
and BI implementation, two stages are required in the process (excepting any analysis which is part of each).
Format the data – This is the process of producing the data warehouse. It involves getting the data from the source and
transforming into an appropriate format from which the output can be derived.
Produce the output – This is the process of taking the transformed data and presenting it to the user in a way that
provides information.
Stages in Warehouse Processing
It is generally accepted in informed DM and BI circles that there are three stages in the process of building a data
warehouse. However, the order in which these stages are performed can have a fundamental effect on the meaning of
these processes and also the overall outcome of the BI solution.
The loading of data into the warehouse
The transformation of the source data into a format relevant to the solution
The process by which data is extracted from the data source
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
EL-T Vs ETL
Objective
This will provide an in depth understanding and appreciation of the relative strengths and weaknesses of the two
different approaches of ETL and ELT in data warehouse design and implementation.
Data Management and Business Intelligence
Business Intelligence is not a technology, or technologies. It is the process by which data is turned into information
upon which informed business decisions can be made to effect change. It is therefore a philosophy. To achieve a DM
and BI implementation, two stages are required in the process (excepting any analysis which is part of each).
Format the data – This is the process of producing the data warehouse. It involves getting the data from the source and
transforming into an appropriate format from which the output can be derived.
Produce the output – This is the process of taking the transformed data and presenting it to the user in a way that
provides information.
Stages in Warehouse Processing
It is generally accepted in informed DM and BI circles that there are three stages in the process of building a data
warehouse. However, the order in which these stages are performed can have a fundamental effect on the meaning of
these processes and also the overall outcome of the BI solution.
Load
The loading of data into the warehouse
Transform
The transformation of the source data into a format relevant to the solution
Extract
The process by which data is extracted from the data source
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
EL-T Vs ETL
Objective
This will provide an in depth understanding and appreciation of the relative strengths and weaknesses of the two
different approaches of ETL and ELT in data warehouse design and implementation.
Data Management and Business Intelligence
Business Intelligence is not a technology, or technologies. It is the process by which data is turned into information
upon which informed business decisions can be made to effect change. It is therefore a philosophy. To achieve a DM
and BI implementation, two stages are required in the process (excepting any analysis which is part of each).
Format the data – This is the process of producing the data warehouse. It involves getting the data from the source and
transforming into an appropriate format from which the output can be derived.
Produce the output – This is the process of taking the transformed data and presenting it to the user in a way that
provides information.
Stages in Warehouse Processing
It is generally accepted in informed DM and BI circles that there are three stages in the process of building a data
warehouse. However, the order in which these stages are performed can have a fundamental effect on the meaning of
these processes and also the overall outcome of the BI solution.
The transformation of the source data into a format relevant to the solution
The process by which data is extracted from the data source

10. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
ETL – Extract, Transform and Load
This approach to data warehouse development is the traditional and widely accepted approach. The following diagram
illustrates each of the individual stages in the process.
Development Time Designing from the output backwards ensures that only
data relevant to the solution is extracted and processed, potentially reducing
development, extract, and processing overhead; and therefore time.
Targeted data Due to the targeted nature of the load process, the warehouse
contains only data relevant to the presentation. Administration Overhead
Reduced warehouse content simplifies the security regime implemented and
hence the administration overhead
Tools Availability The prolific number of tools available that implement ETL
provides flexibility of approach and the opportunity to identify a most
appropriate tool. The proliferation of tools has lead to a competitive
functionality war, which often results in loss of maintainability.
Flexibility Targeting only relevant data for output means that any future
requirements, that may need data that was not included in the original design,
will need to be added to the ETL routines. Due to nature of tight dependency
between the routines developed, this often leads to a need for fundamental
re-design and development. As a result this increases the time and costs
involved.
Hardware Most third party tools utilize their own engine to implement the ETL
process. Regardless of the size of the solution this can necessitate the
investment in additional hardware to implement the tool’s ETL engine. Skills
Investment The use of third party tools to implement ETL processes compels
the learning of new scripting languages and processes.
Learning Curve Implementing a third party tool that uses foreign processes and
languages results in the learning curve that is implicit in all technologies new to
an organization and can often lead to following blind alleys in their use due to
lack of experience.
ETL Strengths
ETL Weakness
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
ETL – Extract, Transform and Load
This approach to data warehouse development is the traditional and widely accepted approach. The following diagram
illustrates each of the individual stages in the process.
Development Time Designing from the output backwards ensures that only
data relevant to the solution is extracted and processed, potentially reducing
development, extract, and processing overhead; and therefore time.
Targeted data Due to the targeted nature of the load process, the warehouse
contains only data relevant to the presentation. Administration Overhead
Reduced warehouse content simplifies the security regime implemented and
hence the administration overhead
Tools Availability The prolific number of tools available that implement ETL
provides flexibility of approach and the opportunity to identify a most
appropriate tool. The proliferation of tools has lead to a competitive
functionality war, which often results in loss of maintainability.
Flexibility Targeting only relevant data for output means that any future
requirements, that may need data that was not included in the original design,
will need to be added to the ETL routines. Due to nature of tight dependency
between the routines developed, this often leads to a need for fundamental
re-design and development. As a result this increases the time and costs
involved.
Hardware Most third party tools utilize their own engine to implement the ETL
process. Regardless of the size of the solution this can necessitate the
investment in additional hardware to implement the tool’s ETL engine. Skills
Investment The use of third party tools to implement ETL processes compels
the learning of new scripting languages and processes.
Learning Curve Implementing a third party tool that uses foreign processes and
languages results in the learning curve that is implicit in all technologies new to
an organization and can often lead to following blind alleys in their use due to
lack of experience.
ETL Strengths
ETL Weakness
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
ETL – Extract, Transform and Load
This approach to data warehouse development is the traditional and widely accepted approach. The following diagram
illustrates each of the individual stages in the process.
Development Time Designing from the output backwards ensures that only
data relevant to the solution is extracted and processed, potentially reducing
development, extract, and processing overhead; and therefore time.
Targeted data Due to the targeted nature of the load process, the warehouse
contains only data relevant to the presentation. Administration Overhead
Reduced warehouse content simplifies the security regime implemented and
hence the administration overhead
Tools Availability The prolific number of tools available that implement ETL
provides flexibility of approach and the opportunity to identify a most
appropriate tool. The proliferation of tools has lead to a competitive
functionality war, which often results in loss of maintainability.
Flexibility Targeting only relevant data for output means that any future
requirements, that may need data that was not included in the original design,
will need to be added to the ETL routines. Due to nature of tight dependency
between the routines developed, this often leads to a need for fundamental
re-design and development. As a result this increases the time and costs
involved.
Hardware Most third party tools utilize their own engine to implement the ETL
process. Regardless of the size of the solution this can necessitate the
investment in additional hardware to implement the tool’s ETL engine. Skills
Investment The use of third party tools to implement ETL processes compels
the learning of new scripting languages and processes.
Learning Curve Implementing a third party tool that uses foreign processes and
languages results in the learning curve that is implicit in all technologies new to
an organization and can often lead to following blind alleys in their use due to
lack of experience.
ETL Strengths
ETL Weakness

11. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
ELT – Extract, Load and Transform
Whilst this approach to the implementation of a warehouse appears on the surface to be similar to ETL, it differs in a
number of significant ways. The following diagram illustrates the process.
ELT Methodology
The following section describes the ELT (Extract, Load and Transform) design approach for the reporting architecture.
Oracle ODI (Oracle Data Integrator) is one of the tools available in the market that can be used for the purposes of
performing this functionality.
Extraction
The goal of the extract phase is to convert the data from various source systems into a single format which is
appropriate for transformation processing. An intrinsic part of the extract process involves the parsing of extracted
data, resulting in a check if the data meets an expected pattern or structure. Where the data does not meet the
expected pattern, the data may be rejected entirely or in part.
The reporting architecture in the analytical system will generally use a daily, batch-driven extract process that will
identify and extract any delta records from the source systems. A major reason for taking this approach is the
considerations around the volume of data to be included in the daily extract, especially for high usage source systems
such as the financial systems, Oracle EBS, Oracle ERP etc.
In incorporating a delta extract, the overall time required to complete the entire ELT process will thus be greatly
reduced.
Load and Transformation
There are a number of methods that allow for data to be stored in a DWH environment, either via an ETL (Extract,
Transform and then Load) or via the ELT (Extract, Load and then Transform). Either approach will extract the data in a
particular format and store it into an end state repository. The difference however between ETL and ELT is that the
former transforms the data before loading it into the DWH, and the latter will load or store the data, then transform it.
This section describes which methodology will be employed for the analytical system reporting architecture.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
ELT – Extract, Load and Transform
Whilst this approach to the implementation of a warehouse appears on the surface to be similar to ETL, it differs in a
number of significant ways. The following diagram illustrates the process.
ELT Methodology
The following section describes the ELT (Extract, Load and Transform) design approach for the reporting architecture.
Oracle ODI (Oracle Data Integrator) is one of the tools available in the market that can be used for the purposes of
performing this functionality.
Extraction
The goal of the extract phase is to convert the data from various source systems into a single format which is
appropriate for transformation processing. An intrinsic part of the extract process involves the parsing of extracted
data, resulting in a check if the data meets an expected pattern or structure. Where the data does not meet the
expected pattern, the data may be rejected entirely or in part.
The reporting architecture in the analytical system will generally use a daily, batch-driven extract process that will
identify and extract any delta records from the source systems. A major reason for taking this approach is the
considerations around the volume of data to be included in the daily extract, especially for high usage source systems
such as the financial systems, Oracle EBS, Oracle ERP etc.
In incorporating a delta extract, the overall time required to complete the entire ELT process will thus be greatly
reduced.
Load and Transformation
There are a number of methods that allow for data to be stored in a DWH environment, either via an ETL (Extract,
Transform and then Load) or via the ELT (Extract, Load and then Transform). Either approach will extract the data in a
particular format and store it into an end state repository. The difference however between ETL and ELT is that the
former transforms the data before loading it into the DWH, and the latter will load or store the data, then transform it.
This section describes which methodology will be employed for the analytical system reporting architecture.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
ELT – Extract, Load and Transform
Whilst this approach to the implementation of a warehouse appears on the surface to be similar to ETL, it differs in a
number of significant ways. The following diagram illustrates the process.
ELT Methodology
The following section describes the ELT (Extract, Load and Transform) design approach for the reporting architecture.
Oracle ODI (Oracle Data Integrator) is one of the tools available in the market that can be used for the purposes of
performing this functionality.
Extraction
The goal of the extract phase is to convert the data from various source systems into a single format which is
appropriate for transformation processing. An intrinsic part of the extract process involves the parsing of extracted
data, resulting in a check if the data meets an expected pattern or structure. Where the data does not meet the
expected pattern, the data may be rejected entirely or in part.
The reporting architecture in the analytical system will generally use a daily, batch-driven extract process that will
identify and extract any delta records from the source systems. A major reason for taking this approach is the
considerations around the volume of data to be included in the daily extract, especially for high usage source systems
such as the financial systems, Oracle EBS, Oracle ERP etc.
In incorporating a delta extract, the overall time required to complete the entire ELT process will thus be greatly
reduced.
Load and Transformation
There are a number of methods that allow for data to be stored in a DWH environment, either via an ETL (Extract,
Transform and then Load) or via the ELT (Extract, Load and then Transform). Either approach will extract the data in a
particular format and store it into an end state repository. The difference however between ETL and ELT is that the
former transforms the data before loading it into the DWH, and the latter will load or store the data, then transform it.
This section describes which methodology will be employed for the analytical system reporting architecture.

12. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Using the ODI tool, the Extract Load – Transform (EL-T) strategy is to be employed in the ANALYTICAL system reporting
architecture for extract through to load functionality of reportable data. A number of reasons for employing an EL-T as
opposed to an ETL approach are listed below:
1. Reduced overhead on ETL engine - the data transformation step of the ETL process is by far the most compute-
intensive operation in the process, and is performed entirely by the proprietary ETL engine on a dedicated
server. The ETL engine performs data transformations (and sometimes data quality checks) on a row-by-row
basis, and hence, can easily become the bottleneck in the overall process whereas in EL-T approach, the
transform doesn’t require a separate engine (as it is operated directly on the target) and thus allows for faster
query execution.
2. Reduced use of network resource – Using the ETL approach the data must be moved over the network twice –
once between the source system and the ETL server to staging, and again between the ETL server and the
target data warehouse whereas in EL-T approach the data is typically moved across the network only once –
thus reduced load on the network infrastructure.
The figure shown below compares the traditional ETL and modern EL-T approaches:
Figure: Traditional ETL vs. Modern EL-T
ELT Strengths
Utilize Existing Hardware In implementing ELT as a warehouse build process, the
inherent tools provided with the database engine can be used. Alternatively, the vast
majority of the third party ELT tools available employ the use of the database engine’s
capability and hence the ELT process is run on the same hardware as the database
engine underpinning the data warehouse, using the existing hardware deployed.
Utilize Existing Skill sets By using the functionality provided by the database engine,
the existing investments in database skills are re-used to develop the warehouse. No
new skills need be learned and the full weight of the experience in developing the
engine’s technology is utilized, further reducing the cost and risk in the development
process.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Using the ODI tool, the Extract Load – Transform (EL-T) strategy is to be employed in the ANALYTICAL system reporting
architecture for extract through to load functionality of reportable data. A number of reasons for employing an EL-T as
opposed to an ETL approach are listed below:
1. Reduced overhead on ETL engine - the data transformation step of the ETL process is by far the most compute-
intensive operation in the process, and is performed entirely by the proprietary ETL engine on a dedicated
server. The ETL engine performs data transformations (and sometimes data quality checks) on a row-by-row
basis, and hence, can easily become the bottleneck in the overall process whereas in EL-T approach, the
transform doesn’t require a separate engine (as it is operated directly on the target) and thus allows for faster
query execution.
2. Reduced use of network resource – Using the ETL approach the data must be moved over the network twice –
once between the source system and the ETL server to staging, and again between the ETL server and the
target data warehouse whereas in EL-T approach the data is typically moved across the network only once –
thus reduced load on the network infrastructure.
The figure shown below compares the traditional ETL and modern EL-T approaches:
Figure: Traditional ETL vs. Modern EL-T
ELT Strengths
Utilize Existing Hardware In implementing ELT as a warehouse build process, the
inherent tools provided with the database engine can be used. Alternatively, the vast
majority of the third party ELT tools available employ the use of the database engine’s
capability and hence the ELT process is run on the same hardware as the database
engine underpinning the data warehouse, using the existing hardware deployed.
Utilize Existing Skill sets By using the functionality provided by the database engine,
the existing investments in database skills are re-used to develop the warehouse. No
new skills need be learned and the full weight of the experience in developing the
engine’s technology is utilized, further reducing the cost and risk in the development
process.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Using the ODI tool, the Extract Load – Transform (EL-T) strategy is to be employed in the ANALYTICAL system reporting
architecture for extract through to load functionality of reportable data. A number of reasons for employing an EL-T as
opposed to an ETL approach are listed below:
1. Reduced overhead on ETL engine - the data transformation step of the ETL process is by far the most compute-
intensive operation in the process, and is performed entirely by the proprietary ETL engine on a dedicated
server. The ETL engine performs data transformations (and sometimes data quality checks) on a row-by-row
basis, and hence, can easily become the bottleneck in the overall process whereas in EL-T approach, the
transform doesn’t require a separate engine (as it is operated directly on the target) and thus allows for faster
query execution.
2. Reduced use of network resource – Using the ETL approach the data must be moved over the network twice –
once between the source system and the ETL server to staging, and again between the ETL server and the
target data warehouse whereas in EL-T approach the data is typically moved across the network only once –
thus reduced load on the network infrastructure.
The figure shown below compares the traditional ETL and modern EL-T approaches:
Figure: Traditional ETL vs. Modern EL-T
ELT Strengths
Utilize Existing Hardware In implementing ELT as a warehouse build process, the
inherent tools provided with the database engine can be used. Alternatively, the vast
majority of the third party ELT tools available employ the use of the database engine’s
capability and hence the ELT process is run on the same hardware as the database
engine underpinning the data warehouse, using the existing hardware deployed.
Utilize Existing Skill sets By using the functionality provided by the database engine,
the existing investments in database skills are re-used to develop the warehouse. No
new skills need be learned and the full weight of the experience in developing the
engine’s technology is utilized, further reducing the cost and risk in the development
process.

13. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
OBIEE and ODI Integration
No Separate ETL engine As per the EL-T methodology, since the transformations are done at the target database
only which would leverage the database capabilities hence there is no need for another transformation engine
of the tool and hence the transformation overhead is not there in EL-T.
Faster, More efficient Since data is first moved to the target database before transformation in EL-T, the load
into final tables after transformation is the faster in comparison to ETL as the data is on the same server after the
transformation. Hence, NO overhead of data migration from transformation engine to the final target tables.
Best in Breed performance in Bulk Load Due to the fact that in EL-T the data is first migrated and transformed
later, it becomes evident the performance of the bulk load when there is NO or minimal transformation is the
best in breed.
Minimized dependencies on the source systems Once data is extracted the dependency on the source systems
is removed and hence there is lesser downtime for the source systems in a production environment.
ELT Weakness
Against the Norm ELT is an emergent approach to data warehouse design and
development. Whilst it has proven itself many times over through its abundant use
in implementations throughout the world, it does require a change in mentality and
design approach against traditional methods. Though some principles remain true
to all approaches, ELT is different in many ways. To get the best from an ELT
approach requires an open mind.
Tools Availability Being an emergent technology approach, ELT suffers from a
limited availability of tools. Oracle Data Integrator (ODI) is the only EL-T tool
available in the market today.
n there is NO or minimal transformation is the best in breed.
Minimized dependencies on the source systems Once data is extracted the dependency on
the source systems is removed and hence there is lesser downtime for the source systems in
a production environment.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
OBIEE and ODI Integration
No Separate ETL engine As per the EL-T methodology, since the transformations are done at the target database
only which would leverage the database capabilities hence there is no need for another transformation engine
of the tool and hence the transformation overhead is not there in EL-T.
Faster, More efficient Since data is first moved to the target database before transformation in EL-T, the load
into final tables after transformation is the faster in comparison to ETL as the data is on the same server after the
transformation. Hence, NO overhead of data migration from transformation engine to the final target tables.
Best in Breed performance in Bulk Load Due to the fact that in EL-T the data is first migrated and transformed
later, it becomes evident the performance of the bulk load when there is NO or minimal transformation is the
best in breed.
Minimized dependencies on the source systems Once data is extracted the dependency on the source systems
is removed and hence there is lesser downtime for the source systems in a production environment.
ELT Weakness
Against the Norm ELT is an emergent approach to data warehouse design and
development. Whilst it has proven itself many times over through its abundant use
in implementations throughout the world, it does require a change in mentality and
design approach against traditional methods. Though some principles remain true
to all approaches, ELT is different in many ways. To get the best from an ELT
approach requires an open mind.
Tools Availability Being an emergent technology approach, ELT suffers from a
limited availability of tools. Oracle Data Integrator (ODI) is the only EL-T tool
available in the market today.
n there is NO or minimal transformation is the best in breed.
Minimized dependencies on the source systems Once data is extracted the dependency on
the source systems is removed and hence there is lesser downtime for the source systems in
a production environment.
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
OBIEE and ODI Integration
No Separate ETL engine As per the EL-T methodology, since the transformations are done at the target database
only which would leverage the database capabilities hence there is no need for another transformation engine
of the tool and hence the transformation overhead is not there in EL-T.
Faster, More efficient Since data is first moved to the target database before transformation in EL-T, the load
into final tables after transformation is the faster in comparison to ETL as the data is on the same server after the
transformation. Hence, NO overhead of data migration from transformation engine to the final target tables.
Best in Breed performance in Bulk Load Due to the fact that in EL-T the data is first migrated and transformed
later, it becomes evident the performance of the bulk load when there is NO or minimal transformation is the
best in breed.
Minimized dependencies on the source systems Once data is extracted the dependency on the source systems
is removed and hence there is lesser downtime for the source systems in a production environment.
ELT Weakness
Against the Norm ELT is an emergent approach to data warehouse design and
development. Whilst it has proven itself many times over through its abundant use
in implementations throughout the world, it does require a change in mentality and
design approach against traditional methods. Though some principles remain true
to all approaches, ELT is different in many ways. To get the best from an ELT
approach requires an open mind.
Tools Availability Being an emergent technology approach, ELT suffers from a
limited availability of tools. Oracle Data Integrator (ODI) is the only EL-T tool
available in the market today.
n there is NO or minimal transformation is the best in breed.
Minimized dependencies on the source systems Once data is extracted the dependency on
the source systems is removed and hence there is lesser downtime for the source systems in
a production environment.

14. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Why QSPEAR
Business Intelligence (BI)
Consulting / Assessment
• Current state analysis
• Solution advisory
• Business process
standardization
• Program management
Implementation
• Configuration
• Integration
• Assurance services –testing
• Roll out
• Additional modules
Nurture and Nourish
• IT adoption
• Report & analytics
• Support & maintenance
• Upgrade assessments
Integrated business processes
Optimal operational efficiencies
Facilitating transaction detail drill down
Enhanced reporting
Efficient customer transaction management
Project scheduling, tracking & management
Competitive advantagesBetter business performance management
Services Value
Agility - Compact, highly integrated, agile team, inherently adaptive to client
needs; offers lower downtime and high responsiveness to emerging client and
project requirements resulting in systems that are much better aligned to business
and customer needs
Deep Domain Expertise - across geographies and multiple segment and technology
verticals leads to superior business outcomes, enabling customers to achieve optimal
efficiencies and competitive advantages through flexible and next generation global
delivery models, mature processes and deep strategic thinking
Comprehensive Offerings Portfolio - incorporates internal process efficiencies (ERP),
external process efficiencies (extended supply chain and CRM) and reporting and analytic
solutions (BI and Big Data) for enhanced decision-making, allowing for highly integrated solutions
architecture, improved efficiency, cost effectiveness and powerful data analytics and reporting
across solutions and systems.
Consultative ‘Solutions’ Based Approach - focuses on identifying customer’s pain points and
goals, mapping each business problem and developing a solutions roadmap aligned to client
challenges. Paradigm shift in focus from software to solutions adds real business value, optimizes
returns on IT investments and enables the achievement of client objectives and goals.
QSPEAR Offerings
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Why QSPEAR
Business Intelligence (BI)
Consulting / Assessment
• Current state analysis
• Solution advisory
• Business process
standardization
• Program management
Implementation
• Configuration
• Integration
• Assurance services –testing
• Roll out
• Additional modules
Nurture and Nourish
• IT adoption
• Report & analytics
• Support & maintenance
• Upgrade assessments
Integrated business processes
Optimal operational efficiencies
Facilitating transaction detail drill down
Enhanced reporting
Efficient customer transaction management
Project scheduling, tracking & management
Competitive advantagesBetter business performance management
Services Value
Agility - Compact, highly integrated, agile team, inherently adaptive to client
needs; offers lower downtime and high responsiveness to emerging client and
project requirements resulting in systems that are much better aligned to business
and customer needs
Deep Domain Expertise - across geographies and multiple segment and technology
verticals leads to superior business outcomes, enabling customers to achieve optimal
efficiencies and competitive advantages through flexible and next generation global
delivery models, mature processes and deep strategic thinking
Comprehensive Offerings Portfolio - incorporates internal process efficiencies (ERP),
external process efficiencies (extended supply chain and CRM) and reporting and analytic
solutions (BI and Big Data) for enhanced decision-making, allowing for highly integrated solutions
architecture, improved efficiency, cost effectiveness and powerful data analytics and reporting
across solutions and systems.
Consultative ‘Solutions’ Based Approach - focuses on identifying customer’s pain points and
goals, mapping each business problem and developing a solutions roadmap aligned to client
challenges. Paradigm shift in focus from software to solutions adds real business value, optimizes
returns on IT investments and enables the achievement of client objectives and goals.
QSPEAR Offerings
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Why QSPEAR
Business Intelligence (BI)
Consulting / Assessment
• Current state analysis
• Solution advisory
• Business process
standardization
• Program management
Implementation
• Configuration
• Integration
• Assurance services –testing
• Roll out
• Additional modules
Nurture and Nourish
• IT adoption
• Report & analytics
• Support & maintenance
• Upgrade assessments
Integrated business processes
Optimal operational efficiencies
Facilitating transaction detail drill down
Enhanced reporting
Efficient customer transaction management
Project scheduling, tracking & management
Competitive advantagesBetter business performance management
Services Value
Agility - Compact, highly integrated, agile team, inherently adaptive to client
needs; offers lower downtime and high responsiveness to emerging client and
project requirements resulting in systems that are much better aligned to business
and customer needs
Deep Domain Expertise - across geographies and multiple segment and technology
verticals leads to superior business outcomes, enabling customers to achieve optimal
efficiencies and competitive advantages through flexible and next generation global
delivery models, mature processes and deep strategic thinking
Comprehensive Offerings Portfolio - incorporates internal process efficiencies (ERP),
external process efficiencies (extended supply chain and CRM) and reporting and analytic
solutions (BI and Big Data) for enhanced decision-making, allowing for highly integrated solutions
architecture, improved efficiency, cost effectiveness and powerful data analytics and reporting
across solutions and systems.
Consultative ‘Solutions’ Based Approach - focuses on identifying customer’s pain points and
goals, mapping each business problem and developing a solutions roadmap aligned to client
challenges. Paradigm shift in focus from software to solutions adds real business value, optimizes
returns on IT investments and enables the achievement of client objectives and goals.
QSPEAR Offerings

15. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Qspear Solution Methodology
Client dedicated
development
/offsite delivery
centres
Highly adaptive
model blends
different channels
of service delivery
Assured quality &
cost of
engagement
Onsite-Offshore
resource
augmentation
Direct client
interface through
onsite center
Access to optimal
offshore resources,
24/7 productivity
Reduced Costs
Highest usage
efficiency of
resources
Resources at
remote, offshore
location
Access to optimal
offshore
resources
24/7 productivity
Highest cost
efficiency
Resources at
remote, offshore
location
Access to optimal
offshore
resources
24/7 productivity
Highest cost
efficiency
Value To
Business
Virtual extension of client
team making
Reduced business/
operational risk
information / data
Higher returns on
investments
Lowered total cost of
ownership
Assured quality & cost of
resources business
processes
Strategic
Partnership
Hybrid Offshore Onsite Near
Shore
Flexible
Commercial Plans
FIXED PRICE
Pre-negotiated,
fixed time, fixed
price model
TIME &
MATERIAL Per
use, per hour
billing, fixed
hourly rate for
defined contract
DEDICATED
TEAM Pre-
determined
time period,
fixed monthly
rate for
resources
HYBRID
Combination of
Fixed Price and
T&M models
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Qspear Solution Methodology
Client dedicated
development
/offsite delivery
centres
Highly adaptive
model blends
different channels
of service delivery
Assured quality &
cost of
engagement
Onsite-Offshore
resource
augmentation
Direct client
interface through
onsite center
Access to optimal
offshore resources,
24/7 productivity
Reduced Costs
Highest usage
efficiency of
resources
Resources at
remote, offshore
location
Access to optimal
offshore
resources
24/7 productivity
Highest cost
efficiency
Resources at
remote, offshore
location
Access to optimal
offshore
resources
24/7 productivity
Highest cost
efficiency
Value To
Business
Virtual extension of client
team making
Reduced business/
operational risk
information / data
Higher returns on
investments
Lowered total cost of
ownership
Assured quality & cost of
resources business
processes
Strategic
Partnership
Hybrid Offshore Onsite Near
Shore
Flexible
Commercial Plans
FIXED PRICE
Pre-negotiated,
fixed time, fixed
price model
TIME &
MATERIAL Per
use, per hour
billing, fixed
hourly rate for
defined contract
DEDICATED
TEAM Pre-
determined
time period,
fixed monthly
rate for
resources
HYBRID
Combination of
Fixed Price and
T&M models
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
Qspear Solution Methodology
Client dedicated
development
/offsite delivery
centres
Highly adaptive
model blends
different channels
of service delivery
Assured quality &
cost of
engagement
Onsite-Offshore
resource
augmentation
Direct client
interface through
onsite center
Access to optimal
offshore resources,
24/7 productivity
Reduced Costs
Highest usage
efficiency of
resources
Resources at
remote, offshore
location
Access to optimal
offshore
resources
24/7 productivity
Highest cost
efficiency
Resources at
remote, offshore
location
Access to optimal
offshore
resources
24/7 productivity
Highest cost
efficiency
Value To
Business
Virtual extension of client
team making
Reduced business/
operational risk
information / data
Higher returns on
investments
Lowered total cost of
ownership
Assured quality & cost of
resources business
processes
Strategic
Partnership
Hybrid Offshore Onsite Near
Shore
Flexible
Commercial Plans
FIXED PRICE
Pre-negotiated,
fixed time, fixed
price model
TIME &
MATERIAL Per
use, per hour
billing, fixed
hourly rate for
defined contract
DEDICATED
TEAM Pre-
determined
time period,
fixed monthly
rate for
resources
HYBRID
Combination of
Fixed Price and
T&M models

16. Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
For More Details Contactus Us
India
SpincoTowers
1stFloor,D-41,Sector11
Noida-201301
Unites States of America
6153 Shahab Lane,
Port Orange
Florida - 32128
Copyright © 2014, Qspear Consultancy. All rights reserved. This
document is provided for information purposes only and the
contents hereof are subject to change without notice.You can Visit US @ http://qspear.net/
Enabling IT Business
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
For More Details Contactus Us
India
SpincoTowers
1stFloor,D-41,Sector11
Noida-201301
Unites States of America
6153 Shahab Lane,
Port Orange
Florida - 32128
Copyright © 2014, Qspear Consultancy. All rights reserved. This
document is provided for information purposes only and the
contents hereof are subject to change without notice.You can Visit US @ http://qspear.net/
Enabling IT Business
Qspear Whitepaper 2014
Helping Customers Realize Business Potential Through
Business Process and IT Transformation
For More Details Contactus Us
India
SpincoTowers
1stFloor,D-41,Sector11
Noida-201301
Unites States of America
6153 Shahab Lane,
Port Orange
Florida - 32128
Copyright © 2014, Qspear Consultancy. All rights reserved. This
document is provided for information purposes only and the
contents hereof are subject to change without notice.You can Visit US @ http://qspear.net/
Enabling IT Business