The document outlines Stanford's Data Governance Program. It discusses the original goals of supporting central BI projects and establishing best practices. Current goals are to improve the effectiveness of university data assets by knowing what data represent, where data are stored, and how data should be used. Case studies of the Land, Buildings & Real Estate, School of Medicine, and Graduate School of Business projects apply naming standards and documentation. The presentation encourages contact and participation for stakeholders.

1. Stanford’s Data
Governance Program
Corrie Potter, Associate Vice Provost and Director,
Institutional Research & Decision Support
Kathleen Warmoth, Data Governance Manager
1

2. 2
Outline
 Review of Data Governance Program
 Case Studies
Land, Buildings & Real Estate
School of Medicine
Graduate School of Business

3. 3
“Data Governance is formalizing behavior around the
definition, production and usage of data to manage risk
and improve the quality and usability of selected data”
(R. Seiner, Non-Invasive Data Governance)

4. 4
Original Goals
 Support central BI projects
Build consensus on data definitions and metadata
Resolve data issues identified by various project teams
Establish best practices, data governance policies and
structure

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Best Practices, Standards and DG Structure
 Formalizing behavior
Naming standards
Class words
Best practice on writing a definition
Stanford University Data Stewardship Groups
(SUDS) roles and responsibilities

6. 6
Current Goals
 Improve the effectiveness and usefulness of the
university data assets
 Know what data represent
 Know where data are stored
 Know how data should be used

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Data Governance Program: Know what data represent
 Business terms
 Aliases
 Identified business owners and audit trail
 Reference data

8. 8
Data Governance Program: Know where data are stored
 Reporting index
 Documentation of data sources
 Current database > table > column > business term > report
 Legacy database > table > column > business term
 Derivation
 High-level Traceability

9. 9
Data Governance Program: Know how data
should be used
 Business rules
 One page infographics on relationships between
entities
 Appropriate usage

10. Case Studies
Land, Buildings & Real Estate
School of Medicine
Graduate School of Business
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11. 11
Data Stewardship Activity: LBRE
Project: Implement Data Governance around space
data tables in Archibus
Goals
Starting with the “building table” elements
create approved business terms and document association with
Archibus element and legacy iSpace element
Identify areas for future LBRE infographic projects

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Data Stewardship Activity: LBRE

13. 13
Data Stewardship Activity: LBRE

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Data Stewardship Activity: School of Medicine
 Project: Incorporate naming standards and definitions
for reporting elements in Workforce Analytics Tableau
dashboards
 Goals
Apply naming standards and create definitions on SoM
HR specific business terms
Build a reporting index for Workforce Analytics
dashboards

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Data Stewardship Activity: School of Medicine

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Data Stewardship Activity: School of Medicine

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Data Stewardship Activity: Graduate School of Business
 Project: Naming standards and definitions for
reporting elements in Tableau Faculty and Dean
dashboards
 Goals:
 Apply naming standards and create definitions on GSB
specific business terms
Document Salesforce object, label and API name
Build a reporting index for GSB Faculty and Dean
Tableau dashboards

18. 18
Data Stewardship Activity: Graduate School of Business

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Data Stewardship Activity: Graduate School of Business

20. Stakeholder Feedback

21. Call to Action

22. 22
Contact Information
 Data Governance Manager: Kathleen Warmoth kwarmoth@Stanford.edu 650-723-2822
 Business Sponsor: Corrie Potter cjpotter@Stanford.edu 650-721-2389
 Technical Sponsor: Vijay Gandra vgandra@Stanford.edu 650-725-4427
 Data Governance Website: DG@Stanford.edu
 Data Governance Center: https://dgcenter.stanford.edu
 Slack Space: Data Governance @ Stanford
 Channels:
 #data_stewardship
 #dgc

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24. 24
You can mouse over any
term to see its definition

25. 25

26. 26
DG @ Stanford: Why do we need it
Operational Perspective
 Reduce reliance on individuals’
knowledge
 Improves rate of business
operations and analysis
 Improves quality of business
operations and analysis
 Reduces change management
efforts and encourages adoption
 Compliance with internal (Stanford)
and external (Government, Partner,
and Legal) policy
Development Perspective
 Increase rate of IT Development
 Increase quality of IT Development
 Reduce reliance on individuals’
knowledge
 Reduce risk of unintended
downstream impact

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Business Intelligence
Competency Center
Steering Committee (BICC
SC)
Strategic
DG @ Stanford: Structure
Definitions & Metadata
Stanford University Data
Stewardship Groups (SUDS)
Executive Leadership
Development &
Incorporating
Data Governance Committee

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DG@ Stanford: Structure
SU Data Governance
Program
Reference
and
Master
Data
Management
Data
Quality
Management
Data
Access
and
Use
Business
Stewardship
Groups
Administrative
Systems
Metadata
Management
ULTIMATE OUTCOME
Data
Access
Use
Reference
Data &
MDM
Metadata
Managemen
t