Expert data analytics prove to be highly transformative when applied in context to corporate business strategies. This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.

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Get Your Data Analytics Strategy Right!Get Your Data Analytics Strategy Right!
Date: May 21, 2014, 12 pm EDT
Sponsored by: SPAN Systems Corporation
Produced and Presented by: The Outsourcing Institute

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Today’s Speakers
Stephanie Blackwell,
Director of Technology,
ScanSee
Ram Mohan,
Advisor - Strategy,
SPAN Infotech (India) Pvt. Ltd.
Somashekara T. S, (Soma)
Director - BI and Database Services,
SPAN Infotech (India) Pvt. Ltd.

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The Outsourcing Institute
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Topics

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Data Everywhere
Traditional
Enterprise Data
Edge of the
Enterprise
External Data
Mobile
Cloud
Data
Aggregators
Data from
Partners
Internet of
Things
Structured
News and
Journals
Social
Media
Review
User
Generated
Data

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Trend of Analytics
New
(with Analytics and
Business
Intelligence)
 Optimization
 Predictive Modeling
 Forecasting / Extrapolation
 Statistical Analysis
 What is the best that can happen?
 What will happen next?
 What if these trends continue?
 Why is this happening?
Traditional
 KPIs / Alerts
 Query / Drill down
 Adhoc Reports
 Standard Reports
 What actions are needed?
 What exactly is the problem?
 How many, how often, and where?
 What happened?
INSIGHTS
INFORMATION
DATA
ACTIONS
DESCRIPTIVE
PRESCRIPTIVE
OPERATIONS
INNOVATION

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The Analysis Gap
Analysis
Gap
Ability to
Analyze
Volume
Variety
Velocity
Almost 2/3Almost 2/3rdsrds
of the Analytics Projects Fail To Meet Expectationsof the Analytics Projects Fail To Meet Expectations

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The Analytics Journey – Mind The Gaps

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The Analytics Life Cycle
Business
Consulting
( Domain / Enterprise
Understanding,
Need Definition,
Industry Trends)
Data Engineering
( Technology Roadmap,
Integration, Cleansing,
Organizing, Visualization)
Analytics Modeling
Business
Operations
Step 1 Step 2 Step 3 Step 4 Step 5 Step 6
Understanding
the business
need / vision
Relevance,
Readiness and
Preparation of
the existing
data
In-depth study to
identify the
influencers from the
data to achieve
business vision /
need
Derive and
Evaluate the
right Analytics
Model
Test the model
for accuracy and
tune it
Productize the
Analytics Model
Common Pitfalls
 Treating as an IT Initiative
 Not having the Right Resource
 Taking a Big Bang Approach

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Challenges
Where to Start
and
Stakeholder Buy-in
Data Availability
and
Relevance
Readiness for Initiative
 Utilization of Data Aggregators
 Provide access to Trial Users
 Prepare the data
 Where to start? - Pick up the
Relevant / Demand
 Educate the stakeholder using the
bottom-up approach
 Analytics complements the business
 Executive sponsorship
 Competition

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Challenges
Human Resources
Process
Resource
 Data Scientist - Utilize Statistics,
Product Specialist
 Agile method – Involve, Evolve and
Improve (IEI)
 Realign to the goal of the project at
every step
 Tools have eased analytics
 External expertise

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Challenges
 MS-Excel could be the right fit
 Adopt cloud wherever possible to
reduce cost
 Technologies have evolved to
extract information from compressed
data, in memory
 Using a minimum of 2 technologies
before you decide to address the
memory, visualization and
processing needs
Technology
Investment
Multiple Choices of
Technology
In-memory Analytics, BI
Tool and specialized
Analytics Tool
Columnar Database and
Appliance
Hadoop Technologies
High Processing
Machine and Lesser Cost
Cloud Infrastructure

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Challenges
Data Privacy and
Security Protection
 Trusting the
Model
 Presenting the
Value of the
Model
Governance
 State the goal of the project and the
assumptions
 Fitment of the model using “hold out
data” etc.
 Explain the value of the Analytics
Project in Business rather than in
statistics / technical terms.
 Don’t claim a “Magic Bullet” - State
the Outliers of the Model
 Concept of key to link the real data
 Technologies such as dynamic
masking
 Industry-specific compliances
Implementation
 Validate your model with at least
two tools
 Re-validate your model with the
Business User

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Challenges & Analytics Journey
Readiness
Resource
Abundant Technology Options
Governance
Mission
Data Preparation
Modelling
Actionable Insights
EnactmentImplementation

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Challenges & Analytics Journey
Key Success Factor
 Analytics is a “Global Business Initiative”
supported by IT
 Right resource, “All the Time”
 Involve, Evolve and Improve

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ScanSee®
Business Case
ScanSee® provides its consumers what they want, when they want it. In order to
achieve this, we implemented tracking consumer behavior for retailers / businesses to
view, and, for consumers to manage without sacrificing consumer privacy.
■ Aggregation of Data within the Dashboard
■ Categorizing Information
■ Recommending Products

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Aggregation of Data
ScanSee®
provides a Dashboard for Businesses engaged in Consumer Behavior. We
aggregate data from consumers and display that information to the businesses. This
allows the business to understand what products, coupons, deals, pages are working
and what are not working, as well as allow them to target information onto key areas.

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Path to Analytics
■ Mission : Improve Customer Experience, Value for Consumer / Retailer / Supplier
■ Version 1.0 with Dashboards using data gathered from Click Stream Analysis
■ Version 2.0 Implementation of Recommendation Engine
 Preparation: Prepare the data by implementing Click Stream Analysis into the product
 Modeling: Usage of Microsoft Analytics, R and Rapid Miner
 Actionable Insight/Enactment: Recommending a Product Relevant to User
Preferences and Similar Users

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Analytics @ Work

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Copyright: SPAN Systems Corporation www.spansystems.com
• Offshore Centers Certified
– CMMI 5, PCMM 3
– ISO 9001:2008
– ISO 27001: 2005
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SPAN Overview
Processes
Client
Engagement
Stability
Domain
Technology
SPAN
• Almost two decades in IT solution providing
• Part of US$ 2.3 Billion Norwegian company
& 10,000+ employees
• #7 in Best Employer in India
• Insurance & Healthcare
• Banking & Finance
• Retail
• Independent Software Vendors
• DW / BI
• Enterprise Mobility
• ERP
• Independent Testing Services
• Remote Infrastructure Management Services
• Product Engineering Services
• Application Management
• Relationship Model
– Management focus
– Governance team
• Innovative Pricing
• Tailored Business Models
• Pavilion®
Engagement Model

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Thank you for joining
Get Your Data Analytics Strategy Right!Get Your Data Analytics Strategy Right!
This webinar was sponsored by SPAN Systems Corporation in conjunction with The Outsourcing Institute.
Ram Mohan,
Advisor - Strategy,
SPAN Infotech (India) Pvt. Ltd.
Email Id:
ramamohan_pr@spanservices.com
T.S. Somashekara,
Director - BI and Database Services,
SPAN Infotech (India) Pvt. Ltd.
Email id :
soma_ts@spanservices.com
Stephanie Blackwell,
Director of Technology,
ScanSee
Email id:
sblackwell@scansee.com