The document discusses big data analytics services including operationalizing big data analytics, social media analysis, opportunistic analytics, and purposely sensed analytics. It also discusses the company's services such as platform services, modeling services, and analytics services. The company takes a big data solution approach including identifying business needs, designing architecture, developing solutions, and providing maintenance and support.

2. Big Data Paradigm
• Operationalizing Big Data Analytics
• Combining with Fact based Analytics to drive more meaningful conclusions
• Usage of scalable tools & technologies to support Big data & Analytics
• Handling 3 V’s of big data with appropriate solution architecture based on Hadoop platform
• Special mix of people with Java and database skills for writing MR jobs and using open source
tools
• Social Media Analysis
• Social Influence Analytics
• Sentiment Analysis
Opportunistic Analytics
• Click Stream Analysis
• Interest Analysis
• Trend Analysis of particular aspect
User Generated Analytics
• Analytics on sensed data by any
device
• Traffic Analysis
• Frustration Index
Purposely Sensed Analytics

3. Our Services
•Assessment & Strategizing the
Roadmap
•Recommendation of suitable platform
architecture
•Design the Architecture of big data
platform (Hadoop)
•Development of Platform
•Migration Services
Platform
Services
•Business driven Data modelling to
source analytic applications handling 3
Vs of data.
•Incorporation of Business Logic
•Implementing Security through Role
based security, inheriting from the
Source after understanding Data
Governance
•Data Sciences Services through
Statistics and machine learning
Modelling
Services
•Building and Operationalization of big
data analytics
•Sentiment analysis through various
unstructured data sources
•Predictive Analytics to take proactive
decisions
•What if Analysis through interactive
capability
Analytics
Services

4. Big Data Solution Approach
Business Case
Identification
Identify the
Value
Understand
the landscape
& Scope
Design the
Architecture
Setting up
Infrastructure
& Capacity
Planning
Development
of Big Data
Solution
Development
of Big Data
Analytics
Deployment
Maintenance
& Support
• Identify
business
needs
• Discover the
Loop holes
in the
current
system
• Find
Opportunities
• Benefits from
big data
capability
• Landscape
Assessment
• Analyze the
scope
• Tools
evaluation
• Architecture
and
prototype
design
• Evaluate the
scalability
• Design
Infrastructure
• Identify
existing
feasibility of
existing
hardware
• Near Real
time data
processing
• Report
development
• Dashboard
development
• Report
development
• Dashboard
development
• 24/7
Support
• Releasing
patches

5. Data Science
What actions
should be taken
What Could
happen
Why did it happen What is happening now?
What has happened?
Business
Questions?
Types of
analysis
Deliverables Rules driven action
optimizations
Predictive model
forecast
Behavioral Analysis
and Interactive
dashboards
Real time
dashboards
PDF reports via
emails
BI

6. Analytics Service Offerings
Analytics Reporting Services
“Solution Centric” Approach
Model Management
Strategy, Architecture,
Technology Guidance
Program, Plan and Execution
Data Analysis
• Assessment for Analytics
Organization Maturity
• Design and Architect Analytical
framework to leverage existing BI
system.
• Evaluate and Incubate right
technology for analytics value
creation
•Analytics Program Engagement for
high level roadmap with
recommendation and resource
planning
•Prioritize and map business and IT
requirement for analytics
• Plan and implement scalable
analytics solution.
• Enterprise Data Analytics - Offer
the full breadth of analytics
services and functionality support
to multiple business units
• Multi platform analytics approach
as per organization needs
• Analytics Model Management
Engine and Application
development
• Analytics tools Development
• Cross Platform [OS] Model
Migration
• Predictive Modeling
• Time Series Analysis
• Exploratory Analysis
• Pilot Analytics
• Scorecard Development
• Data Visualization
• Healthcare Cost reporting Services
• Adhoc reporting Services

7. Pre
Processing
Data
Mining
Result
validation
Understand
business
and data
Prepare
data Model data Evaluation Deployment
Monitor
and
Improve

8. Tools &
Technology
PeopleCulture
Domain
Nitor
Analytics
Competency
Matrix
Predictive Modeling
•R
•Statistica
•SSAS
Visualization
•Power View
•Tableau
•Qlikview
•Domain Experts
•Analytics Consultants
•Business Analyst
•Database Architects
•Statistical Modelers
•Data Visualization Engineers
•Database Engineers
•Healthcare
•Insurance
•Retail
• Communication
•Analytics Focused Team
•Quality Assessment
•Continuous Training &
Development
•Customized and Flexible
Resource Utilization

9. Analytics
on
Streaming
data
Healthcare
HR & Recruitment
Social Media
Predictive
Analytics
on Big
Data
Healthcare
Retail
Manufacturing
Building
Big Data
Platform &
Analytics
Healthcare
Manufacturing