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Big Data Strategies – Organizational Structure and Technology

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Many CDOs and Data Scientists came into being as part of a Big Data program. In many shops Big Data is the core driver for better Data Governance (DG) and Data Management (DM), and the sole evidence of the value of DM and DG. Big Data is also leaving the “hype cycle” and becoming embedded as part of the DM tool kit. This webinar will review what is working and what is not working in the Big Data realm. John and Kelle will not only address the technology progress, but also the organizational and management lessons learned, and will present what works and what does not. In this webinar we will cover: The state of Hadoop, MapReduce and the other “old” big data technologies New technologies and approaches An overview of organization and management of big data functions

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The First Step in Information Management www.firstsanfranciscopartners.com Produced by: Big Data Update! Or, to be grammatically correct: An Update on Big Data Monthly CDO Webinar Series Brought to you in partnership with: #CDOVision August 4, 2016
pg 2© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Big Data Success Areas Challenging Areas
Why We’re Here Purpose: Take a practical look at what really is going on around advanced analytics and Big Data Outcome: Practical advice for value-added, sustainable application of Big Data and Analytics © 2016 First San Francisco Partners www.firstsanfranciscopartners.com pg 3 Why: A lot of money is being spent with little (overall) return #CDOVision
What could go wrong? …I dont believe that result Larger quantities of data dampen the errors Deeper insights …no results yet © 2016 First San Francisco Partners www.firstsanfranciscopartners.com pg 3 #CDOVision …I cant find anything … what does it mean? …we can’t hire anyone to do this
pg 5© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Current State of Big Data Efforts
Root Cause Analysis Applied Operating Framework Leadership and Management Justification Enabling Systems and Practices Business Alignment Lack of Awareness © 2016 First San Francisco Partners www.firstsanfranciscopartners.com pg 6 #CDOVision No Governance, inadequate leadership Targeted problems, one off, wrong answer Cultural and political ignorance, “Data driven?” Miracle hunting vs. solid direction DQ, Don’t understand. Can’t find, “Toys first”
www.firstsanfranciscopartners.com Organization, Management, Alignment #CDOVision
Root Cause Analysis in the Organization  Operating Framework − No Governance, inadequate leadership  Data lakes become data swamps  Need to “walk the data talk”  Leadership and Management Justification − Targeted problems, one off, wrong answer  Lack of Awareness − Culture not ready  Cultural and political ignorance, − When management does not like the answer  Data driven maturity acceleration  Data driven not defined pg 8© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential CDO Challenges #CDOVision
Root Cause Analysis in the Organization  Business Alignment − Miracle hunting vs. solid direction  Frame the questions incorrectly − Nervous about cost and results, end up doing reports  Enabling Systems and Practices − Data unsuitable − No meaning (meta data) − No ability to find it − Buy infrastructure pg 9© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential CDO Challenges #CDOVision
Organization Scenario for Analytics Sponsor - Data Governance Business Steward Leads Data Governance Office DGO Chair IT Lead DG Coordinator Data Management / IT Support Group Data Governance Working Group Data Stewards Marketing Fin. Accting Fin. Treasury Risk HR Fin. FP&A Fin. Ext. Reporting Legal/ Compliance IT Advisor Enterprise Infrastructure Committee Executive Office (CEO) Strategy & Risk (CRSO) IT (CIO) Finance (CAO/CFO) Global Services (COO) PMO Executive Sponsor Analytics Head of Business Analytics Analytics Working Group Analytic Directors Credit Analytics Client Analytics Market Analytics LOB … LOB … LOB … CDO This is a role / relationship chart and NOT an organization chart Analysts, Scientists © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential pg 10 Data Management (Big Data) / IT Support Group #CDOVision
Organization Scenario for Analytics Sponsor - Data Governance Business Steward Leads Data Governance Office DGO Chair IT Lead DG Coordinator Data Management / IT Support Group Data Governance Working Group Data Stewards Marketing Fin. Accting Fin. Treasury Risk HR Fin. FP&A Fin. Ext. Reporting Legal/ Compliance IT Advisor Enterprise Infrastructure Committee Executive Office (CEO) Strategy & Risk (CRSO) IT (CIO) Finance (CAO/CFO) Global Services (COO) PMO Executive Sponsor Analytics Head of Business Analytics Analytics Working Group Analytic Directors Credit Analytics Client Analytics Market Analytics LOB … LOB … LOB … CDO This is a role / relationship chart and NOT an organization chart Analysts, Scientists © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential pg 11 Data Management (Big Data) / IT Support Group #CDOVision
www.firstsanfranciscopartners.com The State of Technology pg 12 #CDOVision
pg 13 Technology © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Define your use cases before selecting your tools! #CDOVision
Technology scenarios – evolving  Technical vs business conversation − Simpler terms and explanation − Return to known access methods  SQL, Connectors to common tools − More mission critical, managerial applications  “Old” DW technology – − Not going away – being integrated − Find right spot for right data pg 14© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Not old and new, rather it is all about defining the correct architecture #CDOVision
Technology scenarios – evolving  “Old” Big Data technology − Re-architecture of original Hadoop installations − Integration into rest of enterprise architecture  New Big Data technology − SPARK, SQL, NoSQL − Manage the cost of ownership − Data persistency and erosion are main stream considerations pg 15© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Not old and new, rather it is all about defining the correct architecture #CDOVision
pg 16 Reference Architecture: How Big Data Fits In © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Data Quality Business Rules EngineMeta Data ManagementSecurity/Privacy DATA GOVERNANCE Acquisition Management Aggregation/ Persistence Access/Delivery Staging (structured data) • Cleanse • Enrich • Transform • Create golden record (MDM) Sources ODS Data Mart(s) Analytics Data Services Other Data Retrieval Systems Archival services EDW Structured: • Internal • External Unstructured: • Sentiment • Clickstream • PDF Semi-structured: • XML, JSON Staging (Semi- structured & unstructured data) Hadoop Vari-structured: • IoT Streaming • IoT Spark SQL, NoSQL Data Lakes TCO #CDOVision
www.firstsanfranciscopartners.com Wrap Up and Take-Aways pg 17 #CDOVision
Take-Aways • Organizations still struggle for skilled resources • Interaction with rest of EIM key Resources • Descriptive BI isn’t going away • Still need to explicitly look for valueAlignment • Optimization needs to occur across Descriptive and Predictive BI • Enterprise architecture incorporation Outcome pg 18© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential #CDOVision
Thank you! John Ladley john@firstsanfranciscopartners.com Kelle O’Neal kelle@firstsanfranciscopartners.com Next in the CDO Vision series: September 1, 2 PM ET CDO Interview

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Big Data Strategies – Organizational Structure and Technology

  • 1. The First Step in Information Management www.firstsanfranciscopartners.com Produced by: Big Data Update! Or, to be grammatically correct: An Update on Big Data Monthly CDO Webinar Series Brought to you in partnership with: #CDOVision August 4, 2016
  • 2. pg 2© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Big Data Success Areas Challenging Areas
  • 3. Why We’re Here Purpose: Take a practical look at what really is going on around advanced analytics and Big Data Outcome: Practical advice for value-added, sustainable application of Big Data and Analytics © 2016 First San Francisco Partners www.firstsanfranciscopartners.com pg 3 Why: A lot of money is being spent with little (overall) return #CDOVision
  • 4. What could go wrong? …I dont believe that result Larger quantities of data dampen the errors Deeper insights …no results yet © 2016 First San Francisco Partners www.firstsanfranciscopartners.com pg 3 #CDOVision …I cant find anything … what does it mean? …we can’t hire anyone to do this
  • 5. pg 5© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Current State of Big Data Efforts
  • 6. Root Cause Analysis Applied Operating Framework Leadership and Management Justification Enabling Systems and Practices Business Alignment Lack of Awareness © 2016 First San Francisco Partners www.firstsanfranciscopartners.com pg 6 #CDOVision No Governance, inadequate leadership Targeted problems, one off, wrong answer Cultural and political ignorance, “Data driven?” Miracle hunting vs. solid direction DQ, Don’t understand. Can’t find, “Toys first”
  • 8. Root Cause Analysis in the Organization  Operating Framework − No Governance, inadequate leadership  Data lakes become data swamps  Need to “walk the data talk”  Leadership and Management Justification − Targeted problems, one off, wrong answer  Lack of Awareness − Culture not ready  Cultural and political ignorance, − When management does not like the answer  Data driven maturity acceleration  Data driven not defined pg 8© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential CDO Challenges #CDOVision
  • 9. Root Cause Analysis in the Organization  Business Alignment − Miracle hunting vs. solid direction  Frame the questions incorrectly − Nervous about cost and results, end up doing reports  Enabling Systems and Practices − Data unsuitable − No meaning (meta data) − No ability to find it − Buy infrastructure pg 9© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential CDO Challenges #CDOVision
  • 10. Organization Scenario for Analytics Sponsor - Data Governance Business Steward Leads Data Governance Office DGO Chair IT Lead DG Coordinator Data Management / IT Support Group Data Governance Working Group Data Stewards Marketing Fin. Accting Fin. Treasury Risk HR Fin. FP&A Fin. Ext. Reporting Legal/ Compliance IT Advisor Enterprise Infrastructure Committee Executive Office (CEO) Strategy & Risk (CRSO) IT (CIO) Finance (CAO/CFO) Global Services (COO) PMO Executive Sponsor Analytics Head of Business Analytics Analytics Working Group Analytic Directors Credit Analytics Client Analytics Market Analytics LOB … LOB … LOB … CDO This is a role / relationship chart and NOT an organization chart Analysts, Scientists © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential pg 10 Data Management (Big Data) / IT Support Group #CDOVision
  • 11. Organization Scenario for Analytics Sponsor - Data Governance Business Steward Leads Data Governance Office DGO Chair IT Lead DG Coordinator Data Management / IT Support Group Data Governance Working Group Data Stewards Marketing Fin. Accting Fin. Treasury Risk HR Fin. FP&A Fin. Ext. Reporting Legal/ Compliance IT Advisor Enterprise Infrastructure Committee Executive Office (CEO) Strategy & Risk (CRSO) IT (CIO) Finance (CAO/CFO) Global Services (COO) PMO Executive Sponsor Analytics Head of Business Analytics Analytics Working Group Analytic Directors Credit Analytics Client Analytics Market Analytics LOB … LOB … LOB … CDO This is a role / relationship chart and NOT an organization chart Analysts, Scientists © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential pg 11 Data Management (Big Data) / IT Support Group #CDOVision
  • 12. www.firstsanfranciscopartners.com The State of Technology pg 12 #CDOVision
  • 13. pg 13 Technology © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Define your use cases before selecting your tools! #CDOVision
  • 14. Technology scenarios – evolving  Technical vs business conversation − Simpler terms and explanation − Return to known access methods  SQL, Connectors to common tools − More mission critical, managerial applications  “Old” DW technology – − Not going away – being integrated − Find right spot for right data pg 14© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Not old and new, rather it is all about defining the correct architecture #CDOVision
  • 15. Technology scenarios – evolving  “Old” Big Data technology − Re-architecture of original Hadoop installations − Integration into rest of enterprise architecture  New Big Data technology − SPARK, SQL, NoSQL − Manage the cost of ownership − Data persistency and erosion are main stream considerations pg 15© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Not old and new, rather it is all about defining the correct architecture #CDOVision
  • 16. pg 16 Reference Architecture: How Big Data Fits In © 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential Data Quality Business Rules EngineMeta Data ManagementSecurity/Privacy DATA GOVERNANCE Acquisition Management Aggregation/ Persistence Access/Delivery Staging (structured data) • Cleanse • Enrich • Transform • Create golden record (MDM) Sources ODS Data Mart(s) Analytics Data Services Other Data Retrieval Systems Archival services EDW Structured: • Internal • External Unstructured: • Sentiment • Clickstream • PDF Semi-structured: • XML, JSON Staging (Semi- structured & unstructured data) Hadoop Vari-structured: • IoT Streaming • IoT Spark SQL, NoSQL Data Lakes TCO #CDOVision
  • 17. www.firstsanfranciscopartners.com Wrap Up and Take-Aways pg 17 #CDOVision
  • 18. Take-Aways • Organizations still struggle for skilled resources • Interaction with rest of EIM key Resources • Descriptive BI isn’t going away • Still need to explicitly look for valueAlignment • Optimization needs to occur across Descriptive and Predictive BI • Enterprise architecture incorporation Outcome pg 18© 2016 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential #CDOVision
  • 19. Thank you! John Ladley john@firstsanfranciscopartners.com Kelle O’Neal kelle@firstsanfranciscopartners.com Next in the CDO Vision series: September 1, 2 PM ET CDO Interview