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Big Data Needs Big Analytics
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Big Data Needs Big Analytics

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Data explosion in 2011 crossed almost 1.8 Trillion GB. Data generation has today moved out of controlled environment of applications to channels like mobile and internet and has led to what we call ...

Data explosion in 2011 crossed almost 1.8 Trillion GB. Data generation has today moved out of controlled environment of applications to channels like mobile and internet and has led to what we call Big Data. Information from Big Data needs application of Big Analytics. SAS has been delivering Big Analytics to its customers by addressing Volume, Velocity and Variety of Analytical needs to provide better faster decisions in real time, reducing TCO and bringing in Governance through SAS High Performance Computing.

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    Big Data Needs Big Analytics Big Data Needs Big Analytics Presentation Transcript

    • make connections • share ideas • be inspired India’s Largest Analytics ForumBig Data Needs BigAnalyticsDeepak RamanathanPractice Lead, Information Management and AnalyticsOrganization name of Presenter Copyright © 2011, SAS Institute Inc. All rights reserved.
    • OURPERSPECTIVE Big Data is RELATIVE not ABSOLUTE Big Data (Noun) When volume, velocity and variety of data exceeds an organization’s storage or compute capacity for accurate and timely decision-making Copyright © 2011, SAS Institute Inc. All rights reserved.
    • THRIVING IN THE BIG DATA ERA VOLUME VARIETYDATA SIZE VELOCITY RELEVANCE TODAY THE FUTURE Copyright © 2011, SAS Institute Inc. All rights reserved.
    • MARKETING CAMPAIGNS AND CUSTOMER ACQUISITION Analytical Lifecycle Copyright © 2011, SAS Institute Inc. All rights reserved.
    • CREDIT DEFAULT RISK ASSESSMENT APPLICATION SCORING BEHAVIORAL SCORING COLLECTION SCORING RISK ASSESSMENT ANALYTICAL LIFECYCLE Copyright © 2011, SAS Institute Inc. All rights reserved.
    • SAS HIGH- END-TO-ENDPERFORMANCE CAPABILITIES DATA ANALYTICS EXPLORATION • Predictive • Descriptive Statistics Modeling • Summarization • Variable Selection ANALYTICAL LIFECYCLE MODEL DEPLOYMENT MODEL DEVELOPMENT • Model Comparison • Scoring Copyright © 2011, SAS Institute Inc. All rights reserved.
    • CUSTOMER TRADITIONAL ANALYTICS PROCESSCASE STUDY 167 Hours DATA MODEL MODEL EXPLORATION DEVELOPMENT DEPLOYMENT Copyright © 2011, SAS Institute Inc. All rights reserved.
    • CUSTOMER HIGH-PERFORMANCE ANALYTICS PROCESSCASE STUDY 167 Hours DEVELOPMENT EXPLORATION DEPLOYMENT Bottom-line Impact: MODEL MODEL DATA Tens of Millions of Dollars 84 SECONDS Copyright © 2011, SAS Institute Inc. All rights reserved.
    • • Leverages in-memory architecture via a dedicated software and hardware appliance • Drives high-performance capabilities SAS across the analytical lifecycleHigh-Performance • Achieve insights at breakthrough Analytics speed before questions become obsolete • Offers a consistent interface for Product Highlights current SAS analytic users Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Business Value • Seize new opportunities by leveraging big data with speed and confidence • Generate highly accurate results through improved modeling SAS • Expedite time-to-decision for competitive advantageHigh-Performance AnalyticsDelivers High-Impact Results IT Value • Experience superior performance and scalability • Manage reliable infrastructure to overcome constraints Copyright © 2011, SAS Institute Inc. All rights reserved.
    • ARCHITECTURE SAS HIGH-PERFORMANCE ANALYTICS ANALYTICS SERVICES ANALYTICAL DATA SERVICES INSIGHTS IN-MEMORY OPERATIONAL DECISIONS DATABASE APPLIANCE Copyright © 2011, SAS Institute Inc. All rights reserved.
    • APPLIANCE TOPOLOGY SAS Analytics EMC Greenplum or Teradata Copyright © 2011, SAS Institute Inc. All rights reserved.
    • • Only in-memory offering in the market delivering high-end analytics SAS • Addresses the entire modelHigh-Performance development and deployment lifecycle Analytics • Ground-breaking approach from leaders in analytics and database appliances Key Differentiators Copyright © 2011, SAS Institute Inc. All rights reserved.
    • • Leverages in-memory architecture via a dedicated software and hardware appliance • Drives high-performance capabilities SAS across the analytical lifecycleHigh-Performance • Achieve insights at breakthrough Analytics speed before questions become obsolete • Offers a consistent interface for Product Highlights current SAS analytic users Copyright © 2011, SAS Institute Inc. All rights reserved.
    • ARCHITECTURE SAS HIGH-PERFORMANCE ANALYTICS ANALYTICS SERVICES ANALYTICAL DATA SERVICES INSIGHTS IN-MEMORY OPERATIONAL DECISIONS DATABASE APPLIANCE Copyright © 2011, SAS Institute Inc. All rights reserved.
    • DemoCopyright © 2011, SAS Institute Inc. All rights reserved.
    • make connections • share ideas • be inspiredIndia’s Largest Analytics ForumThank YouDeepak Ramanathan Copyright © 2010, SAS Institute Inc. All rights reserved.