CDO Webinar: Ends vs. Means - The Role of Data Models and Other Key Artifacts
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Transcript of CDO Webinar: Ends vs. Means - The Role of Data Models and Other Key Artifacts
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The First Step in Information Management
www.firstsanfranciscopartners.com
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Ends Vs. MeansThe Role of Data Models & Other Key Artifacts
Monthly CDO Webinar Series
Brought to you in partnership with:
#CDOVision March 3, 2016
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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
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Today’s Agenda
Role of data models New categories of tools and new artifacts New applications of old standbys
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#CDOVision
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Data Models
#CDOVision
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Produced by:
#CDOVision
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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
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Old practices
Complete model before doing anything else Not accepting standard models Not being creative in population of domains / subjects
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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
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New Artifacts and Tools
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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?
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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
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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.
OBJECTIVESThis 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 ENTITIESList possible data entities subjects or other data sources required to produce this measure
RELATED ACTIONSSpecific 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
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Tools
© 2015 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Data governance −Work flow − Taxonomic
Data management − Self service −AI
NoSQL −Graph
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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
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New Applications (of old stuff)
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Operating Models Direction
TBD
Enterprise Data Committee
Business Data Stewards
Data Governance Steering Committee
Business UnitOfficers
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. ExecutivesBusiness Units
Business & Technical Data SMEs
© 2015 First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential pg 15
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Operating Models Direction
TBD
Enterprise Data Committee
Business Data Stewards
Data Governance Steering Committee
Business UnitOfficers
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. ExecutivesBusiness 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
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Process model for data
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Sample DG Training PlanLevel
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 Leadershipb. Purpose: To give an overview of meta data, its importance and usec. 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
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Thank you!John Ladley
Kelle O’[email protected]
Next in the CDO Vision series:April 7, 2 PM ET
Open Mic: Ask John and Kelle your pressing data questions!