Business Intelligence on Cloud: A Business Perspectivetdwiindia
The document summarizes the evolution of a young company's business intelligence and analytics capabilities over 5 years. It started with basic performance reports but gradually expanded its reporting to include dealer performance, call center performance, and ROI. Facing challenges with ETL and fluctuating requirements, the company selected a cloud-based BI vendor that could provide faster time to market. This allowed the company to start with customer analytics and predictive modeling, and integrate analytics with its call center and other functions. However, scaling across functions remained challenging.
Getting started with Process Mining also means to motivate the Management Board to do it. Of course there are always a lot reasons not to start with Process Mining - Here you have some hints how to prepare your mindset for a pitch in front of the management board.
Starting from Scratch: Build a New Business CaseCelonis
"No matter if your company is evaluating the potential value in applying process mining technology to your business processes, just starting to use Celonis or have already been a Celonis user for some time, it's crucial to have the right case framework to translate your improved process KPIs into financial figures.
In this workshop you will learn how to build a business case from scratch. Using a generic
approach you will learn about:
* The key value drivers of Celonis
* How these impact your KPIs
* How to assess and utilize these KPI improvements in specific formulas
* Summarizing all business case components to determine the overall figure-based business impact of Celonis on your processes."
Presenter: "Bertram Lutz, Head of Solution Engineering UK&I, Celonis
Sam Attias, Solution Engineer UK & Ireland, Celonis
Going Beyond the Standards - Solutions for Your IndustriesCelonis
Process mining is well established for very standardized processes and ERP systems. However, many customers are unaware of the possibilities for process mining to boost process performance for more specific, business-differentiating processes. In the area of energy or financial services, IT systems and processes are very individual and heterogeneous. For example, there are processes such as meter-to-cash in the energy sector or claimsoft processing in companies with a high investment and asset focus that typically span a diverse set of systems ranging from large ERP to homegrown. So in many companies across all industries today, business transformation programs based on SAP S/4HANA or finance and banking platforms are looking to harmonize processes and data across a global range of businesses and systems. Finally, many organizations are rapidly ramping up automation capabilities using powerful technologies like RPA, but often struggle to find the most valuable opportunities. Find out in this session how process mining can be used to add value to your business in these ways - and take your process optimization beyond the standards.
Presenters:
Christian Bartmann, Partner, PricewaterhouseCoopers
Rafael Accorsi, Senior Manager, PricewaterhouseCoopers
Oliver Klein, Director, PricewaterhouseCoopers
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with and for providing high customer satisfaction through its interactive and performant platform.
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with and for providing high customer satisfaction through its interactive and performant platform.
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with and for providing high customer satisfaction through its interactive and performant platform.
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with minimal IT help and for consistently high customer satisfaction and value.
Business Intelligence on Cloud: A Business Perspectivetdwiindia
The document summarizes the evolution of a young company's business intelligence and analytics capabilities over 5 years. It started with basic performance reports but gradually expanded its reporting to include dealer performance, call center performance, and ROI. Facing challenges with ETL and fluctuating requirements, the company selected a cloud-based BI vendor that could provide faster time to market. This allowed the company to start with customer analytics and predictive modeling, and integrate analytics with its call center and other functions. However, scaling across functions remained challenging.
Getting started with Process Mining also means to motivate the Management Board to do it. Of course there are always a lot reasons not to start with Process Mining - Here you have some hints how to prepare your mindset for a pitch in front of the management board.
Starting from Scratch: Build a New Business CaseCelonis
"No matter if your company is evaluating the potential value in applying process mining technology to your business processes, just starting to use Celonis or have already been a Celonis user for some time, it's crucial to have the right case framework to translate your improved process KPIs into financial figures.
In this workshop you will learn how to build a business case from scratch. Using a generic
approach you will learn about:
* The key value drivers of Celonis
* How these impact your KPIs
* How to assess and utilize these KPI improvements in specific formulas
* Summarizing all business case components to determine the overall figure-based business impact of Celonis on your processes."
Presenter: "Bertram Lutz, Head of Solution Engineering UK&I, Celonis
Sam Attias, Solution Engineer UK & Ireland, Celonis
Going Beyond the Standards - Solutions for Your IndustriesCelonis
Process mining is well established for very standardized processes and ERP systems. However, many customers are unaware of the possibilities for process mining to boost process performance for more specific, business-differentiating processes. In the area of energy or financial services, IT systems and processes are very individual and heterogeneous. For example, there are processes such as meter-to-cash in the energy sector or claimsoft processing in companies with a high investment and asset focus that typically span a diverse set of systems ranging from large ERP to homegrown. So in many companies across all industries today, business transformation programs based on SAP S/4HANA or finance and banking platforms are looking to harmonize processes and data across a global range of businesses and systems. Finally, many organizations are rapidly ramping up automation capabilities using powerful technologies like RPA, but often struggle to find the most valuable opportunities. Find out in this session how process mining can be used to add value to your business in these ways - and take your process optimization beyond the standards.
Presenters:
Christian Bartmann, Partner, PricewaterhouseCoopers
Rafael Accorsi, Senior Manager, PricewaterhouseCoopers
Oliver Klein, Director, PricewaterhouseCoopers
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with and for providing high customer satisfaction through its interactive and performant platform.
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with and for providing high customer satisfaction through its interactive and performant platform.
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with and for providing high customer satisfaction through its interactive and performant platform.
- QlikTech is a business intelligence company founded in 1993 that produces the QlikView software. It has over 10,500 customers in 92 countries and 700+ partners.
- QlikView is a business intelligence tool that offers dashboards, analysis, and reporting in one program. It allows for fast deployment and low costs compared to traditional BI solutions.
- QlikView has received accolades for being easy for business users to build solutions with minimal IT help and for consistently high customer satisfaction and value.
Determining the Deployment Model that Fits Your Organization's NeedsCelonis
The Celonis Intelligent Business Cloud (IBC) is the first transformation platform developed from the ground up specifically for the cloud. It allows you to utilize all benefits of a full cloud platform on a multi-tenant architecture, but keep the data in your local on-premise systems as well. By default, the IBC provides enterprise-class security without the additional effort, complexity and management that traditional solutions require. And the combination of on-premise extractor technology and the leave-in-place deployment allows you to decide which setup fits best for your IT infrastructure and allows you to maintain full data governance over your IT landscape. This session will introduce you to the different scenarios available with the IBC and help you decide which might be best for your next transformation project.
Presenter:
Manuel Haug, Head of Product Management Core, Celonis
The document outlines a 30% improvement plan called KALVI WorldSTRETCH 30 that uses metrics, roadmap assessments, cost of quality modeling, kaizen, analytics, lean operations, Six Sigma tools, and business process reengineering to transform an organization. The plan aims to significantly reduce costs, improve customer satisfaction, achieve six sigma quality levels, enhance productivity, and transform key metrics to create a world-class excellent organization.
Prudence BI Analytics enables organizations to extend their existing business analytics investments to structured/unstructured sources – including social media, websites, content systems, email, and
database text – providing unprecedented visibility into data and business processes, saving time and cost, and leading to better business decisions.
The Power of Data in the Automotive Industry (CDK User Event)Eslam Ahmed Hussein
The document discusses how data is becoming a key resource in the automotive industry. It notes that the volume of data being created is doubling every 40 months. Data now comes in many forms like social media posts, sensor readings, and GPS signals. The future of automobiles is expected to involve factors like connectivity, autonomous vehicles, and new ownership models. The document provides examples of how data-driven companies can be 6% more profitable and 5% more productive than competitors. It also gives automotive examples of using analytics to maximize customer retention and identify reasons why customers may not be satisfied or retained.
Disocver how Journyx time and expense tracking not only works hand-in-hand with Dynamics SL to collect employee time quickly and accurately, but also with Power BI to generate beautiful and powerful job costing and profitability reports.
SAP solutions for engineering and constructionrajeshreddies
With SAP solutions for engineering and construction, companies can lay operational excellence through maximized undertaking profitability, reduced chance, and computerized time table-pushed techniqueshttps://dynamoinfotech.com/industry-expertise/engineering/
La transformación digital impulsada por los datos en la industria de servicio...Data IQ Argentina
Te presentamos un resumen de la sesión que Niall Gallacher, Global Director - Qlik Indsutry Solutions, realizó sobre cómo muchas organizaciones de servicios profesionales de todo el mundo están aprovechando analíticas innovadoras para impulsar el éxito en sus estrategias de transformación digital.
The document discusses a company that provides various services related to digital transformation, process optimization, and shared services including health checks, maturity assessments, roadmaps, process automation, operating model design, and change management. It also mentions specific processes like order to cash, source to pay, and record to report that can be optimized. The company utilizes various technologies around analytics, cognitive capabilities, and automation to help clients innovate, transform, and improve operations.
The document discusses the future of data analytics and process mining in auditing. It outlines the following key points:
1. Currently, auditing has limited data awareness and standardization, with inefficient adoption of new analytics technologies. The objectives are to innovate assurance services and connect different data sources.
2. In the next 3-5 years, auditors will provide clients access to analytical platforms, integrate more advanced analytics like predictive modeling, and build common data standards around key business processes.
3. Beyond 5 years, auditing will see automated process comparisons, best practice sharing through a "Process Factory", simulation of control frameworks, and continuous assurance delivery through new media. Process mining will integrate more Internet of
Case study on InnoVelocity's BPM implementation with JSR Micro, Inc. - a leading materials manufacturer. Delivered in conjunction with Nathaniel Palmer and featured on BPM.com
The document discusses integrating PeopleSoft and Primavera software to automate project planning, resource scheduling, and improve transparency. It outlines client needs like decreasing administration costs and aligning master data. The proposed solution is an Enterprise Service Automation that flows financial, project, and resource data between the two systems. The implementation process includes technical installation, configuration, validation, training, and production rollout. The goal is to provide references for successfully integrating PeopleSoft program management with Primavera P6 EPPM.
The implementation of BMW Group's strategy leads to a transformation towards a mobility tech company. This impacts customer experience, shareholders, stakeholders, partners and employees. BMW Group IT is organized in a worldwide network across 60 nationalities in 29 countries. All main departments work within BizDevOps structures in close collaboration with business units. Process mining helps BMW Group improve products/services, achieve data-driven production, and bring the agile transformation to the next level, though challenges remain in transparency, quantifying value, and scaling the process mining team.
Stein Mart uses QueBIT’s Quick Start Planning Solution to Rapidly Leverage Re...QueBIT Consulting
Stein Mart implemented IBM's Planning Analytics software and QueBIT's quick start planning application to streamline their planning and reporting processes. This improved the performance of running reports and provided dynamic analysis capabilities. Previously, Stein Mart used manual and disconnected Excel spreadsheets that were time-consuming and resource intensive, taking 5 days for month-end closes and 15 days for year-end closes. The new solution reduced reliance on IT and allowed the finance team to complete planning and reporting independently.
Organization chart template 3d linear flow risk management process 6 stages p...SlideTeam.net
The document describes a 3D linear flow risk management process diagram that contains editable icons and text boxes. All images in the diagram can be customized by ungrouping objects, editing colors using theme colors or solid/gradient fills, and changing the size, orientation or position of icons. The editable diagram allows users to customize it for their specific needs.
Cross border - off-shoring and outsourcing privacy sensitive dataUlf Mattsson
Ulf Mattsson is the CTO of Protegrity, with over 20 years of experience in research and development and global services at IBM. He has been involved in developing encryption, tokenization, and intrusion prevention technologies. The document discusses cross-border offshoring and outsourcing of privacy sensitive data in the cloud. It notes that cloud services are often provided by third parties and can involve data being stored in multiple locations. Regulations like PCI DSS and national privacy laws apply when data crosses borders or is outsourced. Sensitive data needs to be protected to comply with regulations and address threats while also enabling useful insights from the data. Methods like de-identification through tokenization and encryption can protect identifiable data
Best data science training Institute: Kellytechnologies is the best data science training Institutes in Hyderabad.Providing greate data science training by realtime faculty in hyderabad.
Statistical analysis of process data 7 stages oil flow chart power point temp...SlideTeam.net
The document describes a 7-stage process for statistical analysis of process data. It includes steps to download diagrams, capture audience attention, and analyze process data across 7 stages. The document contains repetitive text and symbols about downloading diagrams and capturing attention.
This document discusses loading data from Hadoop into Oracle databases using Oracle connectors. It describes how the Oracle Loader for Hadoop and Oracle SQL Connector for HDFS can load data from HDFS into Oracle tables much faster than traditional methods like Sqoop by leveraging parallel processing in Hadoop. The connectors optimize the loading process by automatically partitioning, sorting, and formatting the data into Oracle blocks to achieve high performance loads. Measuring the CPU time needed per gigabyte loaded allows estimating how long full loads will take based on available resources.
Determining the Deployment Model that Fits Your Organization's NeedsCelonis
The Celonis Intelligent Business Cloud (IBC) is the first transformation platform developed from the ground up specifically for the cloud. It allows you to utilize all benefits of a full cloud platform on a multi-tenant architecture, but keep the data in your local on-premise systems as well. By default, the IBC provides enterprise-class security without the additional effort, complexity and management that traditional solutions require. And the combination of on-premise extractor technology and the leave-in-place deployment allows you to decide which setup fits best for your IT infrastructure and allows you to maintain full data governance over your IT landscape. This session will introduce you to the different scenarios available with the IBC and help you decide which might be best for your next transformation project.
Presenter:
Manuel Haug, Head of Product Management Core, Celonis
The document outlines a 30% improvement plan called KALVI WorldSTRETCH 30 that uses metrics, roadmap assessments, cost of quality modeling, kaizen, analytics, lean operations, Six Sigma tools, and business process reengineering to transform an organization. The plan aims to significantly reduce costs, improve customer satisfaction, achieve six sigma quality levels, enhance productivity, and transform key metrics to create a world-class excellent organization.
Prudence BI Analytics enables organizations to extend their existing business analytics investments to structured/unstructured sources – including social media, websites, content systems, email, and
database text – providing unprecedented visibility into data and business processes, saving time and cost, and leading to better business decisions.
The Power of Data in the Automotive Industry (CDK User Event)Eslam Ahmed Hussein
The document discusses how data is becoming a key resource in the automotive industry. It notes that the volume of data being created is doubling every 40 months. Data now comes in many forms like social media posts, sensor readings, and GPS signals. The future of automobiles is expected to involve factors like connectivity, autonomous vehicles, and new ownership models. The document provides examples of how data-driven companies can be 6% more profitable and 5% more productive than competitors. It also gives automotive examples of using analytics to maximize customer retention and identify reasons why customers may not be satisfied or retained.
Disocver how Journyx time and expense tracking not only works hand-in-hand with Dynamics SL to collect employee time quickly and accurately, but also with Power BI to generate beautiful and powerful job costing and profitability reports.
SAP solutions for engineering and constructionrajeshreddies
With SAP solutions for engineering and construction, companies can lay operational excellence through maximized undertaking profitability, reduced chance, and computerized time table-pushed techniqueshttps://dynamoinfotech.com/industry-expertise/engineering/
La transformación digital impulsada por los datos en la industria de servicio...Data IQ Argentina
Te presentamos un resumen de la sesión que Niall Gallacher, Global Director - Qlik Indsutry Solutions, realizó sobre cómo muchas organizaciones de servicios profesionales de todo el mundo están aprovechando analíticas innovadoras para impulsar el éxito en sus estrategias de transformación digital.
The document discusses a company that provides various services related to digital transformation, process optimization, and shared services including health checks, maturity assessments, roadmaps, process automation, operating model design, and change management. It also mentions specific processes like order to cash, source to pay, and record to report that can be optimized. The company utilizes various technologies around analytics, cognitive capabilities, and automation to help clients innovate, transform, and improve operations.
The document discusses the future of data analytics and process mining in auditing. It outlines the following key points:
1. Currently, auditing has limited data awareness and standardization, with inefficient adoption of new analytics technologies. The objectives are to innovate assurance services and connect different data sources.
2. In the next 3-5 years, auditors will provide clients access to analytical platforms, integrate more advanced analytics like predictive modeling, and build common data standards around key business processes.
3. Beyond 5 years, auditing will see automated process comparisons, best practice sharing through a "Process Factory", simulation of control frameworks, and continuous assurance delivery through new media. Process mining will integrate more Internet of
Case study on InnoVelocity's BPM implementation with JSR Micro, Inc. - a leading materials manufacturer. Delivered in conjunction with Nathaniel Palmer and featured on BPM.com
The document discusses integrating PeopleSoft and Primavera software to automate project planning, resource scheduling, and improve transparency. It outlines client needs like decreasing administration costs and aligning master data. The proposed solution is an Enterprise Service Automation that flows financial, project, and resource data between the two systems. The implementation process includes technical installation, configuration, validation, training, and production rollout. The goal is to provide references for successfully integrating PeopleSoft program management with Primavera P6 EPPM.
The implementation of BMW Group's strategy leads to a transformation towards a mobility tech company. This impacts customer experience, shareholders, stakeholders, partners and employees. BMW Group IT is organized in a worldwide network across 60 nationalities in 29 countries. All main departments work within BizDevOps structures in close collaboration with business units. Process mining helps BMW Group improve products/services, achieve data-driven production, and bring the agile transformation to the next level, though challenges remain in transparency, quantifying value, and scaling the process mining team.
Stein Mart uses QueBIT’s Quick Start Planning Solution to Rapidly Leverage Re...QueBIT Consulting
Stein Mart implemented IBM's Planning Analytics software and QueBIT's quick start planning application to streamline their planning and reporting processes. This improved the performance of running reports and provided dynamic analysis capabilities. Previously, Stein Mart used manual and disconnected Excel spreadsheets that were time-consuming and resource intensive, taking 5 days for month-end closes and 15 days for year-end closes. The new solution reduced reliance on IT and allowed the finance team to complete planning and reporting independently.
Organization chart template 3d linear flow risk management process 6 stages p...SlideTeam.net
The document describes a 3D linear flow risk management process diagram that contains editable icons and text boxes. All images in the diagram can be customized by ungrouping objects, editing colors using theme colors or solid/gradient fills, and changing the size, orientation or position of icons. The editable diagram allows users to customize it for their specific needs.
Cross border - off-shoring and outsourcing privacy sensitive dataUlf Mattsson
Ulf Mattsson is the CTO of Protegrity, with over 20 years of experience in research and development and global services at IBM. He has been involved in developing encryption, tokenization, and intrusion prevention technologies. The document discusses cross-border offshoring and outsourcing of privacy sensitive data in the cloud. It notes that cloud services are often provided by third parties and can involve data being stored in multiple locations. Regulations like PCI DSS and national privacy laws apply when data crosses borders or is outsourced. Sensitive data needs to be protected to comply with regulations and address threats while also enabling useful insights from the data. Methods like de-identification through tokenization and encryption can protect identifiable data
Best data science training Institute: Kellytechnologies is the best data science training Institutes in Hyderabad.Providing greate data science training by realtime faculty in hyderabad.
Statistical analysis of process data 7 stages oil flow chart power point temp...SlideTeam.net
The document describes a 7-stage process for statistical analysis of process data. It includes steps to download diagrams, capture audience attention, and analyze process data across 7 stages. The document contains repetitive text and symbols about downloading diagrams and capturing attention.
This document discusses loading data from Hadoop into Oracle databases using Oracle connectors. It describes how the Oracle Loader for Hadoop and Oracle SQL Connector for HDFS can load data from HDFS into Oracle tables much faster than traditional methods like Sqoop by leveraging parallel processing in Hadoop. The connectors optimize the loading process by automatically partitioning, sorting, and formatting the data into Oracle blocks to achieve high performance loads. Measuring the CPU time needed per gigabyte loaded allows estimating how long full loads will take based on available resources.
This document discusses big data analysis and data science. It introduces common data analysis techniques like predictive modeling, machine learning, and recommendation systems. It also discusses tools for working with big data, including Hadoop, HDFS, Pig, HBase, Mahout and languages like R and Python. The document provides an example of using these techniques and tools to build a recommendation system using streaming data from Flume stored in HDFS and analyzed with Pig and HBase.
This is presntation on how you can read a data model and understand the data and business rules contained in it. It is intended for non-technical people
Build a predictive analytics model on a terabyte of data within hoursDataWorks Summit
A predictive analytics model can be built on a terabyte of data within hours using Microsoft's ML Studio API. The process involves setting up a cloud environment, loading and exploring the data, engineering features, sampling data, building and deploying the model, and then consuming the model. ML Studio streamlines and automates each step of the machine learning process.
pandas: a Foundational Python Library for Data Analysis and StatisticsWes McKinney
Pandas is a Python library for data analysis and manipulation. It provides high performance tools for structured data, including DataFrame objects for tabular data with row and column indexes. Pandas aims to have a clean and consistent API that is both performant and easy to use for tasks like data cleaning, aggregation, reshaping and merging of data.
The data model is dead, long live the data modelPatrick McFadin
The document discusses how data modeling concepts translate from relational databases to Cassandra. It begins with background on how Cassandra stores data using a row key and columns rather than tables and relations. Common patterns like one-to-many and many-to-many relationships are achieved without foreign keys by duplicating and denormalizing data. The document also covers concepts like UUIDs, transactions, and how some relational features like sequences are handled differently in Cassandra.
Python Data Wrangling: Preparing for the FutureWes McKinney
The document is a slide deck for a presentation on Python data wrangling and the future of the pandas project. It discusses the growth of the Python data science community and key projects like NumPy, pandas, and scikit-learn that have contributed to pandas' popularity. It outlines some issues with the current pandas codebase and proposes a new C++-based core called libpandas for pandas 2.0 to improve performance and interoperability. Benchmark results show serialization formats like Arrow and Feather outperforming pickle and CSV for transferring data.
pandas: Powerful data analysis tools for PythonWes McKinney
Wes McKinney introduced pandas, a Python data analysis library built on NumPy. Pandas provides data structures and tools for cleaning, manipulating, and working with relational and time-series data. Key features include DataFrame for 2D data, hierarchical indexing, merging and joining data, and grouping and aggregating data. Pandas is used heavily in financial applications and has over 1500 unit tests, ensuring stability and reliability. Future goals include better time series handling and integration with other Python data science packages.
To download please go to: http://www.intelligentmining.com/knowledge-base.html
Slides as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on April 1, 2010 (no joke!) :)
Explore Your Data Using Amazon QuickSight and Build Your First Machine Learni...Amazon Web Services
In this session we will demonstrate how non-experts in machine learning, can easily analyze their data with QuickSight and build scalable and production-ready predictive models with Amazon machine learning. After the session you will have a good understanding how to define problems from your business, in terms of data and predictive models, and you will be able to apply analytics and machine learning concepts as a competitive advantage.
Python for Financial Data Analysis with pandasWes McKinney
This document discusses using Python and the pandas library for financial data analysis. It provides an overview of pandas, describing it as a tool that offers rich data structures and SQL-like functionality for working with time series and cross-sectional data. The document also outlines some key advantages of Python for financial data analysis tasks, such as its simple syntax, powerful built-in data types, and large standard library.
Improving Python and Spark (PySpark) Performance and InteroperabilityWes McKinney
Slides from Spark Summit East 2017 — February 9, 2017 in Boston. Discusses ongoing development work to accelerate Python-on-Spark performance using Apache Arrow and other tools
The 2014 Business Solutions budget document outlines several IT projects for fiscal year 2014 including implementing a contract lifecycle management solution, enhancing the multi-stage sales funnel and forecasting, automating revenue recognition, billing and orders, providing real-time insight into external legal spending, establishing a business intelligence platform and master data program, integrating hiring and onboarding systems, developing mobile approval capabilities, rationalizing the appraisal system, and integrating learning management with single sign-on authentication. The projects aim to improve operational efficiency, provide insights to drive better decision making, and establish foundational systems. If successfully implemented, the projects are expected to reduce manual work, improve processes
Copy and paste to access the full recording: http://www.castsoftware.com/news-events/event/gartner-technical-debt?gad=ss
-------------------------------------------------------
In this webinar David Norton of Gartner Research discusses recent findings on Technical Debt that estimates industry IT debt is at $500 billion—and on target to reach $1 trillion by 2015. He also talks about the importance of Software Analysis & Measurement to manage Technical Debt, how to measure debt continuously to control TCO of the application lifecycle and include debt measurement in project management and prioritization.
Skye Sant - NEW PLATFORM case study (Sr UX)Skye Sant
The document describes the development of a new Capital Deployment Pipeline (CDP) tool. The tool aims to make the capital planning process and data more transparent to business users. Key goals are to enable strategic decision making and increase organizational effectiveness. The process involved user research, design, prototyping, and testing of a new digital tool within Salesforce. Testing showed high user satisfaction ratings and improved productivity. The tool was successfully developed and deployed using an agile process.
Zakir Hussain is a Quality Program Manager at Cisco Systems with over 20 years of experience in quality assurance, testing, and IT services. Some of his accomplishments include achieving a 10% gain in productivity by simplifying audit processes, gaining a 20% productivity increase through automating audit tools, and realizing 15% cost savings through contract negotiations. He has skills in test automation, database management, and programming languages such as Java and PHP.
Case Study: How Caixa Econômica in Brazil Uses IBM® Rational® Insight and Per...Paulo Lacerda
This document summarizes Caixa Econômica Federal's use of IBM Rational Insight for performance measurement and oversight of outsourced software development. Key points:
1) Caixa needed visibility and metrics across distributed development units to support business decisions and compare outsourced software factories.
2) Rational Insight was deployed to extract and consolidate metrics from various tools into executive dashboards measuring factories, teams, projects, and KPIs over time.
3) Caixa now has automated, real-time performance measurement across the organization with a single point of access for metrics and reports. This supports improved software development decision making.
The document discusses linking business strategy to execution in an agile manner. It covers using ecommerce, emarketing, and eCRM tools to drive profitability while consolidating systems. Key areas covered include supporting revenue growth, improving customer experience, and reducing costs. Metrics from Gartner and Forrester research are referenced.
I Can do WHAT with PCMCS? Features and Functions, Business Benefits, and Use...Alithya
Profitability is a major indicator of business performance. Unfortunately, the typical financial system manages expenses and revenues from different perspectives. As a result, finance teams often rely on large, complex allocation models (sometimes “black box” systems) to provide management with the strategic P&Ls by geographical area, business unit, product, segment, and more—all in an attempt to pivot from “what it is,” to “what it’s for.” Regardless of industry, company size, or function, more strategic insight into underlying cost structures and their impact on profitability is necessary.
Oracle Hyperion Profitability and Cost Management Cloud Service (PCMCS) is a performance management application that introduces a world of possibilities for organizations to enhance financial data generated through their general ledgers and EPM systems into meaningful, accurate, and consumable information. Unlike traditional profitability systems, which require a large investment in both infrastructure and related technical overhead, PCMCS allows business users to easily create and manage their profitability systems with unparalleled speed and efficiency, supporting numerous use cases in both the financial close and management reporting domains, including IT financial management, operational transfer pricing, expense allocations, fully allocated P&L, strategic P&Ls, and operational profitability.
Attend this session to learn how PCMCS is an effective solution with benefits for every industry—one that empowers business users to gain insight into hidden profit and cost across key business dimensions. The presentation provides an overview of business needs using a perspective around corporate and shared service allocations. You’ll also gain insight into the PCMCS solution capabilities and functionality, including a comparison to other EPM tools, and we’ll share specific use cases.
This document provides a summary of Rajesh Bhatia's professional experience and qualifications. It includes:
1) Over 17 years of experience in supply chain, business intelligence, data warehousing, analytics, project management, and process improvement roles in Fortune 200 companies.
2) Most recently, Rajesh worked as a BI Project Manager and ScrumMaster where he managed the implementation of an enterprise data warehouse using agile methodology, dimensional modeling, and SQL.
3) Prior experience includes supply chain analytics and optimization projects at Safeway that identified over $4 million in annual cost savings, and process reengineering and governance roles at CSC.
Draft - Digital Transformation Rough Plan.pdfEnricoJohanes1
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Analysis, data & process modeling
1. TS
PLC & Product Roadmap
Situation: A SW Dev startup without PLC process.
Actions: Defined and aligned all functional
processes: R&D, UCD, NPI, Marketing, Billing,
CEM… Improved transparency of info via central
repository, training, forum, QBR, weekly…
Result: Milestone reviews in place, CC to EOL. Less
ambiguous ownership of project scope/ time/
resources. Less frictions within groups. Improved
launch predictability and T2M.
Agile IT & SecDefinition Mkt Launch
Dev +
QA
PM
SM
C
B
A
QBR
CEO
CMO
Teams
INT READY? EXT READY?ECBC/CC … EOLPilot GA
Sal
es
Fulfill
UseTS
Growth
Ren
ew
PRIORITY ACCTS
CEM
BILLING
LEGENDS:
1. QBR metrics: YTD Performance, Win-Loss, Waterfall Performance,
Customer Churn, Positioning, Forecast, and SME analytics (technology
trends, market dynamics, and market position).
2. Product Definition (PRD) & Roadmap Prioritization Process:
A= new ideas
B= enhancements
C= maintenance (from TS)
3. Agile
PURPOSE= Deliver products iteratively & incrementally.
ROLES= Dev, QA, Product M, Scrum Master or Project M.
METRICS: TODO, Analysis, DOING, Reviewing… Forecast
progress=burn-ups/burn-downs, cumulative flows
4. Pilot= # customers enrolled & feedbacks.
5.IT & InfoSec= Proactive approach to Balance Short and Long Term Tracks,
to Align Execution Capability to Hi-level Objectives, to resolve
Architecture, Network Performance, Security (IPS/IDS), and Governance
issues in advance.
5. Marketing & Pricing= to shorten Mkt cycle of deliverables= Pricing &
Promotions proposal, Launch Type, Brief, Chklist, Sales Readiness Plan,
Int Training, PS Offering Definition, Book to Bill, Support Process, CX Plan,
Collateral, Analyst & Press Briefings, Communications, Sales Training,
Demand Gen, etc. Globalization (localization & internalization)…
6. Billing= to accurately capture billing data i.e. usage and payment.
Milestone
2. March 3, 2009
Worldwide Supply/Demand Model
7,871
12,829 12,889 12,889
15,089 15,089-
-
9,980
15,819
21,755
5,337
12,832
29,677
5,082
-
-
10,000
20,000
30,000
40,000
50,000
60,000
70,000
FY99 FY00 FY01 FY02 FY03 FY04
Space(x1,000SF)
-
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
200,000
220,000
240,000
260,000
280,000
Headcount
WW Total (current) WW Total (solutioned) WW Total Shortfall LOW
WW Total Shortfall MID WW Total Shortfall HIGH 51% 46% 39% 32%
57% 54% 51% 49% 62% 59% 56% 54% Current Headcount
NOW $1T
Situation: Fastest growing/ most valuable company in the world with
unreliable data collection and analysis for decisions making.
Actions: Created “Worldwide Supply Demand Model” (xls to Data
WH + Business Objects + web based reporting)
Result: Enabling CFO and BOD to make informed strategic decisions
on competitive position, growth and performance.
3. Best Green Practices
DATA CENTER DESIGN & ONGOING OPERATIONS
Situation: On-going initiative to improve
DC design and operations.
Actions: With basis “You can’t improve
what you can’t measure”, initiated
cross-campus Transformer Monitoring
Control program and Virtualization
Technology, enabling sense-and-
respond capabilities.
Result: Improved DC design, ops, BI
and strategies. Corporate received
huge rebate from PG&E.
4. Preliminary analysis has affirmed that xyz Quick Hit tracks represent potential short-term cost
reduction. Additional data collection and analysis is required to assess these and other Quick Hits
Quick Hit Tracks: Updated
Speed of Execution Short
ProbabilityofSuccess
High
I
K
J
A
E
D
GF
M
Code Tracks
Impact**
(000)
A Validate Circuit Disconnections $0
B Examine Billing Errors – Rates $0
C Reduce Private Line Connections $145
D Reduce Tie Lines $0
E Reduce Outbound Calling Costs $355
F Perform Voice Trunk Dimensioning $9
G Reduce 1MBs Costs $115
H Optimize Wireless Plans $1,070
I Decommission Switches & Routers $0
J Decommission Voice Ports $0
K Optimize PBX Maintenance Costs $0
L Comprehensive RFP $165
M Language Line Rate Reductions $780
Total $2,639
Last Week’s Total $1,695
High Priority Quick Hit Tracks
B
Key - Time to Achieve
Short 1-2 Months
Medium 3-4 Months
Long 5-8 Months
Key – Probability of Success
High >75%
Medium 25-75%
Low <25%
Maximum Savings*
$1M
$500k
$200k
*Preliminary Estimates
** Weighted for probability and timing
H
L
In flight Quick Hits to be
Added to this Chart
C
Situation: CIO’s initiative to reduce
$.3+B telecommunication spend
through contract negotiation and
network transformations.
Actions: Led corporate and Top 5
consulting firms through planning &
execution of multiple concurrent RFx.
Result: Met target savings of 5%.