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
5. 5
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
7. 7
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
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
14. 14
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
17. 17
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
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
27. 27
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
28. 28
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