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CDO Webinar: Ends vs. Means - The Role of Data Models and Other Key Artifacts

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We all know that the data management field has revolved around and depended on some key artifacts. Data models, repositories, taxonomies are all well-known deliverables. The importance of these artifacts is not questioned. The prioritization, tools, and use are evolving.

Join Kelle and John a discussion of how the creation, management and use of the key artifacts for EIM and DG are evolving. We will cover:

•Role of data models
•Meta data approaches
•New categories of tools and new artifacts
•New applications of old stand bys

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CDO Webinar: Ends vs. Means - The Role of Data Models and Other Key Artifacts

  1. 1. The First Step in Information Management www.firstsanfranciscopartners.com Produced by: Ends Vs. Means The Role of Data Models & Other Key Artifacts Monthly CDO Webinar Series Brought to you in partnership with: #CDOVision March 3, 2016
  2. 2. CDO Vision – Upcoming Webinars  CDO Vision 2016 Schedule − April 7 Open Mic: Kelle and a special guest answer your most pressing data questions! − May 5 A compelling statement to corporate leaders: Why you must address EIM and DG − June 2 CDO Interview: TBD #CDOVision  First Thursday of every month at 2 PM ET  Produced by DATAVERSITY, brought to you by First San Francisco Partners
  3. 3. Today’s Agenda  Role of data models  New categories of tools and new artifacts  New applications of old standbys Produced by: #CDOVision Brought to you in partnership with:
  4. 4. www.firstsanfranciscopartners.com Data Models #CDOVision Brought to you in partnership with: Produced by: #CDOVision
  5. 5. Data Models for Data Model Management sake  Data governance inspires modeling − But not the way we always wanted to do it  Patterns – good  Abstraction – ok  Over abstraction – bad  Practical trumps technique 55
  6. 6. Old practices  Complete model before doing anything else  Not accepting standard models  Not being creative in population of domains / subjects 6
  7. 7. Life cycle and timing of Data Model activity Seed •Acquire •Buy •Steal •Pattern Align & Identify Core Useful conceptual Useful logical Physicals •Rationalize to technology Cross walk / Instant-iate Theme = Useful 7
  8. 8. www.firstsanfranciscopartners.com New Artifacts and Tools Produced by: #CDOVision Brought to you in partnership with:
  9. 9. What is a BIR™ ?  An expression of data or information needs that are required to achieve enterprise goals  While usually best expressed as a metric, measure, or KPI, BIRs can also be highly visible facts, events, codes, identifiers and lists  Key point – need to capture all contexts at same time − Not in separate efforts  Fact – operational systems  Metric – Report or BI  Event – Separate packages  Example - Number of admissions − Fact − Metric − Event − All of the above? 9
  10. 10. BIR™ Benefit Business Information Requirement Provide EA with arch criteria for infrastructure Provide IA/ DM with context, data elements, dimensions Provide BI / Analytics with requirements Provide APpDev with requirements Provide DG with definitions and content for stewards Provide Compliance with documentation for regulators Provide mgmt with evidence of alignment 10
  11. 11. Elements of a BIR™ - Atypical meta data BIR Description Detailed definition, not the calculation or rule RULE or ALGORITHM A business explanation of how to calculate the metric or a description of any rule. It should be at the level where a data analyst could reproduce a query, or a data architect can model the components of the rule. OBJECTIVES This section relates business goals and objectives to the specific BIR, i.e. what goals or objectives are measured or addressed. They are taken from business plan or interviews RELATED DIMENSIONS Dimensions are those data elements that the business uses to "slice and dice" numbers. For example, often a basic metric needs to be drilled into "BY" a certain dimension, such as Sales BY Region. A consistent and well managed list of this reference data is a powerful asset, so this section is for listing and defining how a metric could potential be drilled into, or parsed RELATED ENTITIES List possible data entities subjects or other data sources required to produce this measure RELATED ACTIONS Specific actions, events, or processes enabled by producing the measure , I.e. what is done with this measure, what decisions are made? IF this metric could be delivered with perfection, what is DIFFERENT? What is ENABLED? SUMMARIZATION Describe which time periods must be consistently summarized, e.g. Day, Week, Month 11
  12. 12. pg 12 Tools © 2015 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential  Data governance − Work flow − Taxonomic  Data management − Self service − AI  NoSQL − Graph
  13. 13. Artifacts pg 13© 2015 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential  From last month – formal business alignment and strategy  Policies and Principles  Context aware glossaries
  14. 14. www.firstsanfranciscopartners.com New Applications (of old stuff) Produced by: #CDOVision Brought to you in partnership with:
  15. 15. Operating Models Direction TBD Enterprise Data Committee Business Data Stewards Data Governance Steering Committee Business Unit Officers Data Owners IT Partner(s) Data Governance Office (DGO) Management Execution Technical Data Stewards Local Data Governance Working Groups Chair: Enterprise Data Officer Chair: Data Governance Office Lead IT Partner(s) Sr. Executives Business Units Business & Technical Data SMEs © 2015 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential pg 15
  16. 16. Operating Models Direction TBD Enterprise Data Committee Business Data Stewards Data Governance Steering Committee Business Unit Officers Data Owners IT Partner(s) Data Governance Office (DGO) Management Execution Technical Data Stewards Local Data Governance Working Groups Chair: Enterprise Data Officer Chair: Data Governance Office Lead IT Partner(s) Sr. Executives Business Units Business & Technical Data SMEs Accountable Executive Business Data Steward Local Data Governance Working Group Data Owner / Business Steward Lead Account Domain © 2015 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential pg 16
  17. 17. 17 Process model for data
  18. 18. Sample DG Training Plan Level Orientation Education Training Class # - 1 - 2 - 3 Unit Unit # Level # Module Name Master the WHY; Concepts & Value Master the WHY and WHAT ; Actions, sequence, measures Master the WHY, WHAT and HOW; Techniques, tasks, tools Abstract n/a 002 1 DG Concepts Definitions, Value and Concepts NA 2 DG Framework Principles and Standards; Best practices NA Data Governance Processes, Organizations 2 DG Orientation DG Road Map, Maturity levels, Policies and Measurements Framework, incl. Principles, Value and Vision a. Audience: Business & IT Leadership b. Purpose: To present the DG program to familiarize employees c. Key Learning Objectives i. Describe DG program at the company wide and LDG levels ii. Discuss maturity levels, standard, principles EIM Guiding Principles, Supporting Standards EIM Principles Orientation a. Audience: Leadership, Business line employees, IT b. Purpose: To present EIM principles and Supporting Standards within context of DG roadmap c. Key Learning Objectives i. Describe components of a standard and guiding principles ii. Discuss existing standards and guiding principles Data Governance Processes, Organizations 3 DG Program Training DG Road Map, Specific supported initiatives, detailed project plans and activities a. Audience: Business & IT Leadership, business line employees, IT b. Purpose: To present the DG program to familiarize employees c. Key Learning Objectives i. Describe DG program at the company wide and local levels ii. Discuss initiatives, activities and overview of roles iii. Discuss initiatives, project plans and activities EIM Guiding Principles, Supporting Standards EIM Standard Training a. Audience: Council, DG functions - hands on workshop b. Purpose: To present an overview of standards and guiding principles, then actually define them c. Key Learning Objectives i. Describe components of a standard and guiding principles ii. Discuss existing standards and guiding principles iii. Construct a target standard and guiding principle Business Glossary 103 1 Overview for leadership DG Framework, incl. Principles, Value and Vision Using the Business Glossary - this could be technical on- hands training for managers or demo a. Audience: Business Leadership b. Purpose: To give an overview of meta data, its importance and use c. Key Learning Objectives: i. Describe the role of meta data in organization ii. Define what meta data can do for in terms of usage iii. Practice hands on tool training or Administer demo of the Business Glossary 18
  19. 19. Thank you! John Ladley john@firstsanfranciscopartners.com Kelle O’Neal kelle@firstsanfranciscoparners.com Next in the CDO Vision series: April 7, 2 PM ET Open Mic: Ask John and Kelle your pressing data questions!

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