Download - Get your data analytics strategy right!
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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• Located at outsourcing.com – Over 70,000 Executive Members Globally
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For more information contact us at: [email protected] or 516-279-6850 ext. 712
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Topics
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Data Everywhere
TraditionalEnterprise 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 Expectations of 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
TechnologyInvestment
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
20Copyright: 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: [email protected]
T.S. Somashekara,Director - BI and Database Services,
SPAN Infotech (India) Pvt. Ltd.
Email id : [email protected]
Stephanie Blackwell,Director of Technology,
ScanSee
Email id:[email protected]
