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Bringing Data to the Business in a BIG Way

Tasso Argyros, Co-President and Founder
Teradata Aster
Is Big Data for Business?

    “By 2017 the CMO will be spending more
    on IT than the CIO.”
                                                    Gartner, Jan 2012



         “Barnes & Noble has made a profound transformation
         from being a physical seller of books to a digital
         technology company. A key component of that is the
         ability we have gained to leverage 'big data' to derive
         consumer insights that are deployed multi-channel for
         better personalization.”
                                         Marc Parrish, VP, Customer Retention, Barnes & Noble



                            “Enterprises often address new information
                            management challenges with one-off solutions, and
                            the big-data challenge could unfortunately follow the
                            same pattern.”
                                                                                    Gartner, April 2011



2      Confidential and proprietary. Copyright © 2012 Teradata Corporation.
What is New About Big Data?




              Size                              Data                         Analytics
                                                                                                               Big
                                                                                                               Data


                                                              Source: CEO Advisory: ‘Big Data’ Equals Big Opportunity, Gartner, 31 March 2011.



3   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
What Else is New About Big Data?

                                                                Classic BI
                                                  Structured & Repeatable Analysis




    Business determines what                                                             IT structures the data to
         questions to ask                                                                 answer those questions

                                                                                         “Capture only what’s
                                                                                               needed”




 IT delivers a platform for                            Big Data Analytics
   storing, refining, and                                                               Business explores data for
                                                Multi-structured & Iterative Analysis
analyzing all data sources                                                              questions worth answering

     “Capture only what’s
           needed”
4       Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Challenges with Emerging Big Data Technologies

                           Enterprise
                            Adoption


    Complexity                                            Cost



     “Sophisticated tools for data integration and analysis on
     this scale are largely lacking today. There are
     opportunities to create tools and applications for Big
     Data.”
                       - IDC Market Analysis, Worldwide Big Data Technology and Services, 20102-2012 Forecast




            Cost and Complexity Kill Enterprise Adoption

5   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Is Big Data Solving Your Problems Today?
3 Key Questions to Ask your CIO


                    How many people in your organization can
         1          directly ask Big Data questions?


                    How much time does it take to answer a new
         2          business question with Big Data?


                    Is it hard to find the right people and budget to
         3          tackle new Big Data problems?



    Need right technologies to realize business value of Big Data

6     Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Making Big Analytics Work: The Discovery Cycle
Most Effective Way to Create Business Insight from Big Data


                                                                             Analytical Idea




    Operational DB                                 Operationalize                               Zero-ETL Data
       or EDW                                       or Move On                                 Load/Integration




                                                             Evaluate
                                                              Results
                                                                                         SQL & non-SQL
                                                                                            Analysis



7     Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Key Requirements of a Discovery Platform



                  Highly Efficient & Performant Big Data Platform
       1          That Allows Quick Iterations


                  Hybrid Capabilities that Provide both Legacy
       2          (SQL, BI) and New (MapReduce) Interfaces


                  Significant Out-of-the-Box Analytical Apps that
       3          Minimize Development



       Democratize Big Data & Maximize Enterprise Adoption

8   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Aster’s Discovery Platform Democratizes Big Data


                          Analysts             Customers               Business Users       Data Scientists

                  Your Analytic & Advanced Reporting Applications


                                                                               • 50+ pre-built analytical apps
Develop                  Rapid Analytics                                       • Visual IDE: custom apps in hours
                          Development                                          • Several programming languages


                                                                               • SQL-MapReduce framework
    Process
                    Embedded Analytic                                          • Analyze both non-relational +
                       Processing                                                relational data
                                                                               • Top performance for both SQL & MR

                                                                               • Commodity-hardware based
     Store
                      Massively Parallel                                       • Software-only; Appliance; Cloud
                        Data Storage                                           • Fault-tolerant & one-click expansion



9       Confidential and proprietary. Copyright © 2012 Teradata Corporation.
SQL & MapReduce: the Gap


                            SQL                                                MapReduce

     • Easy and Fast                                                        • Powerful, but…
     • Integrates well                                                      • Batch-oriented
       with BI/Viz.
                                                                            • Requires lots of
       tools
                                                                              coding
     • But…not always
       powerful enough



                              But what if you need both?

10   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Filling the Gap: SQL-MapReduce®
Industry’s Only Standard SQL + MR Combination



               Standard SQL
     1         Support for
               Business Analysts

               Integrates
     2         Seamlessly with
               Most BI Tools

               10x MapReduce
     3         Performance
               Advantage




11       Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Analytic Foundation: the App Store of Big Data
Some of the 50 out-of-the-box analytical apps



        Path Analysis                                                       Text Analysis
        Discover patterns in rows of                                        Derive patterns and extract
        sequential data                                                     features in textual data



        Statistical Analysis                                                Segmentation
        High-performance processing of                                      Discover natural groupings of
        common statistical calculations                                     data points



        Marketing Analytics                                                 Data Transformation
        Analyze customer interactions to                                    Transform data for more
        optimize marketing decisions                                        advanced analysis



12   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
How SQL-MapReduce® Connects Business Analysts
To MapReduce Processing




                 Invoke Pre-Bulid SQL-MapReduce® App Through SQL
                                      and Visualize Directly in Tableau®

13   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Beyond the Discovery Platform: Unified Big Data Architecture
Enabling All Users for Any Data Type from Data Capture to Analysis




           Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc.


                                                                             Reporting and Execution
               Discover and Explore
                                                                                in the Enterprise


                                            Capture, Store and Refine


     Audio/                                                         Web &       Machine
                   Images            Docs            Text                                 CRM   SCM   ERP
     Video                                                          Social       Logs




14    Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Unified Big Data Architecture for the Enterprise



              Engineers                     Data Scientists                   Quants         Business Analysts

           Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc.

                                                             ANALYTICS



           Discovery Platform                                                     Active Data Warehouse




                                                     Capture, Store, Refine


       Audio/                                              Web &             Machine
                        Images             Text                                        CRM       SCM       ERP
       Video                                               Social             Logs




 15   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Announced June 12th, 2012

                                              Aster SQL-H™
 A Business User’s Bridge to Analyze Hadoop Data


Aster SQL-H gives analysts and data scientists a better way
to analyze data stored cheaply in Hadoop
      • Allow standard ANSI SQL to Hadoop data

      • Leverage existing BI tool investments

      • Enable 50+ prebuilt SQL-MapReduce Apps and IDE

      • Lower costs by making data analysts self-sufficient

 16     Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Aster in Retail Banking: “Last Mile” Marketing
                                                                                     Cross-Channel
Challenge                                                                        Customer Interactions
• Know the “last mile” of a decision                                             17,000 Customers, 1 Month
• Data Mining tools predict probability
  but do not ID the “last mile”

                                                                         34k Branch Visits     25k ATM Sessions
With Aster
• SQL-MapReduce listens and predicts
  the “last mile”
     - Identifies all interaction patterns
       prior to acquisition or attrition


Business Impact                                                                   5,000 Call Center Sessions
• 10-300x less effort to pinpoint a
  customer in the “last mile”



                                                                           43k E-mails        92k Online Sessions



17      Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Aster MapReduce: Understanding the “Last Mile”



     Jan 5: Reverse Fee
                                              Jan 10: Request Made Again                       Jan 20: Account Closed
          Request




               Jan 7: Request Made Again                                       Jan 15: Request Made Again




What if I knew that this customer was likely to leave? I could…
• Apologize
• Offer an explanation
• Reverse the $5 fee
       “It takes 3x more to acquire a customer than to retain one”


18      Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Multi-Channel Customer Analysis
Iterative Discovery Analytics
 Business Question(s):
 • Is there any identifiable pattern of behavior prior to account closure?
 • Prior to new product additions?
 • If so, what does this pattern look like?




                               STOREDATA




19   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Events Preceding Account Closure




20   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Events Preceding Account Closure




     SELECT * FROM npath (

                                                                                  Interactive Analytics
       ON (
          SELECT …
          WHERE u.event_description IN (
            SELECT aper.event FROM attrition_paths_event_rank aper

                                                                                 Reducing the “Noise” to
            ORDER BY aper.count DESC LIMIT 10)
          )
       …
       PATTERN ('(OTHER|EVENT){1,20}$')
       SYMBOLS (…) RESULT (…)                                                       find the “Signal”
       )
     ) n;




21        Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Events Preceding Account Closure




     SELECT *
     FROM nPath (
       ON (…)
       PARTITION BY sba_id                                                     Closed Accounts
       ORDER BY datestamp


                                                                              Fee reversal seems
       MODE (NONOVERLAPPING)
       PATTERN ('(OTHER_EVENT|FEE_EVENT)+')
       SYMBOLS (

                                                                                to be a “Signal”
          event LIKE '%REVERSE FEE%' AS FEE_EVENT,
          event NOT LIKE '%REVERSE FEE%' AS OTHER_EVENT)
       RESULT (…)
     ) n;




22     Confidential and proprietary. Copyright © 2012 Teradata Corporation.
How did Big Data Help?


       Collect & analyze not only customer transactions, but also
1      customer interactions

       Use SQL-MapReduce pre-built operators to identify
2
       behavioral patterns and uncover business insight

       Utilize standard BI tools to ensure insights are consumed
3      by the right business analysts and acted upon


Big Data for Business = use more data and more analytics
to achieve a competitive edge




23   Confidential and proprietary. Copyright © 2012 Teradata Corporation.
Summary


     1        Huge Business Value in Big Data



              Paradigms Like Discovery Platform
     2        Reduce Cost, Time-to-Market and
              Maximize Adoption


              Teradata Aster Enables Business Users
     3
              to Access Directly Big Data Technologies


24       Confidential and proprietary. Copyright © 2012 Teradata Corporation.

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Simplifying Big Data Analytics for the Business

  • 1. Bringing Data to the Business in a BIG Way Tasso Argyros, Co-President and Founder Teradata Aster
  • 2. Is Big Data for Business? “By 2017 the CMO will be spending more on IT than the CIO.” Gartner, Jan 2012 “Barnes & Noble has made a profound transformation from being a physical seller of books to a digital technology company. A key component of that is the ability we have gained to leverage 'big data' to derive consumer insights that are deployed multi-channel for better personalization.” Marc Parrish, VP, Customer Retention, Barnes & Noble “Enterprises often address new information management challenges with one-off solutions, and the big-data challenge could unfortunately follow the same pattern.” Gartner, April 2011 2 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 3. What is New About Big Data? Size Data Analytics Big Data Source: CEO Advisory: ‘Big Data’ Equals Big Opportunity, Gartner, 31 March 2011. 3 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 4. What Else is New About Big Data? Classic BI Structured & Repeatable Analysis Business determines what IT structures the data to questions to ask answer those questions “Capture only what’s needed” IT delivers a platform for Big Data Analytics storing, refining, and Business explores data for Multi-structured & Iterative Analysis analyzing all data sources questions worth answering “Capture only what’s needed” 4 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 5. Challenges with Emerging Big Data Technologies Enterprise Adoption Complexity Cost “Sophisticated tools for data integration and analysis on this scale are largely lacking today. There are opportunities to create tools and applications for Big Data.” - IDC Market Analysis, Worldwide Big Data Technology and Services, 20102-2012 Forecast Cost and Complexity Kill Enterprise Adoption 5 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 6. Is Big Data Solving Your Problems Today? 3 Key Questions to Ask your CIO How many people in your organization can 1 directly ask Big Data questions? How much time does it take to answer a new 2 business question with Big Data? Is it hard to find the right people and budget to 3 tackle new Big Data problems? Need right technologies to realize business value of Big Data 6 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 7. Making Big Analytics Work: The Discovery Cycle Most Effective Way to Create Business Insight from Big Data Analytical Idea Operational DB Operationalize Zero-ETL Data or EDW or Move On Load/Integration Evaluate Results SQL & non-SQL Analysis 7 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 8. Key Requirements of a Discovery Platform Highly Efficient & Performant Big Data Platform 1 That Allows Quick Iterations Hybrid Capabilities that Provide both Legacy 2 (SQL, BI) and New (MapReduce) Interfaces Significant Out-of-the-Box Analytical Apps that 3 Minimize Development Democratize Big Data & Maximize Enterprise Adoption 8 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 9. Aster’s Discovery Platform Democratizes Big Data Analysts Customers Business Users Data Scientists Your Analytic & Advanced Reporting Applications • 50+ pre-built analytical apps Develop Rapid Analytics • Visual IDE: custom apps in hours Development • Several programming languages • SQL-MapReduce framework Process Embedded Analytic • Analyze both non-relational + Processing relational data • Top performance for both SQL & MR • Commodity-hardware based Store Massively Parallel • Software-only; Appliance; Cloud Data Storage • Fault-tolerant & one-click expansion 9 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 10. SQL & MapReduce: the Gap SQL MapReduce • Easy and Fast • Powerful, but… • Integrates well • Batch-oriented with BI/Viz. • Requires lots of tools coding • But…not always powerful enough But what if you need both? 10 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 11. Filling the Gap: SQL-MapReduce® Industry’s Only Standard SQL + MR Combination Standard SQL 1 Support for Business Analysts Integrates 2 Seamlessly with Most BI Tools 10x MapReduce 3 Performance Advantage 11 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 12. Analytic Foundation: the App Store of Big Data Some of the 50 out-of-the-box analytical apps Path Analysis Text Analysis Discover patterns in rows of Derive patterns and extract sequential data features in textual data Statistical Analysis Segmentation High-performance processing of Discover natural groupings of common statistical calculations data points Marketing Analytics Data Transformation Analyze customer interactions to Transform data for more optimize marketing decisions advanced analysis 12 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 13. How SQL-MapReduce® Connects Business Analysts To MapReduce Processing Invoke Pre-Bulid SQL-MapReduce® App Through SQL and Visualize Directly in Tableau® 13 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 14. Beyond the Discovery Platform: Unified Big Data Architecture Enabling All Users for Any Data Type from Data Capture to Analysis Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc. Reporting and Execution Discover and Explore in the Enterprise Capture, Store and Refine Audio/ Web & Machine Images Docs Text CRM SCM ERP Video Social Logs 14 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 15. Unified Big Data Architecture for the Enterprise Engineers Data Scientists Quants Business Analysts Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc. ANALYTICS Discovery Platform Active Data Warehouse Capture, Store, Refine Audio/ Web & Machine Images Text CRM SCM ERP Video Social Logs 15 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 16. Announced June 12th, 2012 Aster SQL-H™ A Business User’s Bridge to Analyze Hadoop Data Aster SQL-H gives analysts and data scientists a better way to analyze data stored cheaply in Hadoop • Allow standard ANSI SQL to Hadoop data • Leverage existing BI tool investments • Enable 50+ prebuilt SQL-MapReduce Apps and IDE • Lower costs by making data analysts self-sufficient 16 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 17. Aster in Retail Banking: “Last Mile” Marketing Cross-Channel Challenge Customer Interactions • Know the “last mile” of a decision 17,000 Customers, 1 Month • Data Mining tools predict probability but do not ID the “last mile” 34k Branch Visits 25k ATM Sessions With Aster • SQL-MapReduce listens and predicts the “last mile” - Identifies all interaction patterns prior to acquisition or attrition Business Impact 5,000 Call Center Sessions • 10-300x less effort to pinpoint a customer in the “last mile” 43k E-mails 92k Online Sessions 17 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 18. Aster MapReduce: Understanding the “Last Mile” Jan 5: Reverse Fee Jan 10: Request Made Again Jan 20: Account Closed Request Jan 7: Request Made Again Jan 15: Request Made Again What if I knew that this customer was likely to leave? I could… • Apologize • Offer an explanation • Reverse the $5 fee “It takes 3x more to acquire a customer than to retain one” 18 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 19. Multi-Channel Customer Analysis Iterative Discovery Analytics Business Question(s): • Is there any identifiable pattern of behavior prior to account closure? • Prior to new product additions? • If so, what does this pattern look like? STOREDATA 19 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 20. Events Preceding Account Closure 20 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 21. Events Preceding Account Closure SELECT * FROM npath ( Interactive Analytics ON ( SELECT … WHERE u.event_description IN ( SELECT aper.event FROM attrition_paths_event_rank aper Reducing the “Noise” to ORDER BY aper.count DESC LIMIT 10) ) … PATTERN ('(OTHER|EVENT){1,20}$') SYMBOLS (…) RESULT (…) find the “Signal” ) ) n; 21 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 22. Events Preceding Account Closure SELECT * FROM nPath ( ON (…) PARTITION BY sba_id Closed Accounts ORDER BY datestamp Fee reversal seems MODE (NONOVERLAPPING) PATTERN ('(OTHER_EVENT|FEE_EVENT)+') SYMBOLS ( to be a “Signal” event LIKE '%REVERSE FEE%' AS FEE_EVENT, event NOT LIKE '%REVERSE FEE%' AS OTHER_EVENT) RESULT (…) ) n; 22 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 23. How did Big Data Help? Collect & analyze not only customer transactions, but also 1 customer interactions Use SQL-MapReduce pre-built operators to identify 2 behavioral patterns and uncover business insight Utilize standard BI tools to ensure insights are consumed 3 by the right business analysts and acted upon Big Data for Business = use more data and more analytics to achieve a competitive edge 23 Confidential and proprietary. Copyright © 2012 Teradata Corporation.
  • 24. Summary 1 Huge Business Value in Big Data Paradigms Like Discovery Platform 2 Reduce Cost, Time-to-Market and Maximize Adoption Teradata Aster Enables Business Users 3 to Access Directly Big Data Technologies 24 Confidential and proprietary. Copyright © 2012 Teradata Corporation.