The Relevance of Data Governance in
Higher Education
Tim Beckett
Higher Education Solutions
November 9, 2011
Copyright 2007, Information Builders. Slide 1
Agenda
 Welcome & introduction – Tim Beckett
 Part I – Panel Discussion
 Part II – Presentation
 Q&A
Copyright 2007, Information Builders. Slide 2
Introduction
 Getting serious about the mission
 Questions are being asked
 By the government
 By the Ministry
 By the state
 By donors
 By executives
 By accreditation bodies
 “It depends…”
Copyright 2007, Information Builders. Slide 3
Part I
 Panel Discussion
 Data Governance at Three Higher Education Institutions
 Moderated by Dan Schultz, Director, iWay Software



Peter Webb, Institutional Research, University of the Fraser Valley
(British Columbia)
Mark Horseman, Data Administration Analyst, University of
Saskatchewan
Linda Pennington, Information Technology Services, San Jacinto
College (Texas)
Copyright 2007, Information Builders. Slide 4
Data Governance in Higher Education
Dan Schultz
Director, iWay Software
November 9, 2011
Fundamental Requirements for
Success
Copyright 2007, Information Builders. Slide 6
Creating the Environment to Succeed
Most fundamental requirements
 Data Integration
 Maximize availability of data assets
 Data Governance
 Create, implement, and maintain data policy
Technology &
business process
 Data Quality
working together
 Optimize information asset integrity
 Data Synchronization
 Link and manage complex data relationships
 Business Intelligence
 Real-time decision making based on the right information
 Guiding Methodology
 Best practice approach
Copyright 2007, Information Builders. Slide 7
Information Builders
Enterprise Information Management
(EIM) Framework
Creating and Supporting a
Data Governance Initiative
Copyright 2007, Information Builders. Slide 8
IB Enterprise Information Management Framework
Business Process
Data
Consulting
Governance
Strategy
Roadmap
Education
Implementation
Advocacy
Best Practices
Experience
Business Intelligence
(Analytics/Operations)
Data Policy
Single View
Standards
(MDM)
Business Rules
Roles &
Responsibilities
Mentor
Technology
Data
Profile
Cleanse
Quality
Match
Remediate
Stewardship
Data Ownership
Data
Integration
Data Access
Data Movement
System, Data, & Intellectual Fragmentation
(Costly Business & Technical Problems)
Data Integration
Maximizing the Availability of Information Assets
A fundamental requirement to the success of a
Data Governance Initiative
Copyright 2007, Information Builders. Slide 10
Data Integration
Maximizing availability of Information Assets
Copyright 2007, Information Builders. Slide 11
Data Quality
Optimizing Information Asset Integrity
A fundamental requirement to the success of a
Data Governance Initiative
Copyright 2007, Information Builders. Slide 12
Components of Data Quality Technology
Data Quality – Automated tools for optimizing information integrity
1.
Profiling: Investigation into data - Analysis of data to provide insight into the quality
of the data and aid in the identification of data quality issues.
2.
Parsing, standardization, & Cleansing: Decomposition of fields into component parts
and formatting of values into consistent layouts based on industry standards, local
standards, user-defined business rules and knowledge bases of values and patterns.
Modification of data values to meet domain restrictions, integrity constraints or other
business rules that define sufficient data quality for the organization.
3.
Enrichment - add contextual or complete the data. Geographical data, increase the data
information for entities.
4.
Monitoring: Deployment of controls to ensure ongoing conformance of data to business
rules that define data quality for the organization.
Data Governance
Creating, implementing, and maintaining data policy
A fundamental requirement to the success of a
Data Governance Initiative
Copyright 2007, Information Builders. Slide 14
Data Governance – Fundamental Concepts
Technology or business process?
It requires an element of both to be successful.
Business process allows the institution to
coordinate, establish, and oversee institutional
data policies and practices.
Technology allows for the implementation and
automation of data policies established through
the data governance business process.
Data Governance within the IB EIM Framework
Business Process
Data
Consulting
Governance
Strategy
Roadmap
Education
Implementation
Advocacy
Best Practices
Experience
Business Intelligence
(Analytics/Operations)
Data Policy
Single View
Standards
(MDM)
Business Rules
Roles &
Responsibilities
Mentor
Technology
Data
Profile
Cleanse
Quality
Match
Remediate
Stewardship
Data Ownership
Data
Integration
Data Access
Data Movement
System, Data, & Intellectual Fragmentation
(Costly Business & Technical Problems)
• DG enabled technology
• Business rule based
• Work flow enabled
Single View of the Citizen
Data remediation work flow for the data exceptions
Copyright 2007, Information Builders. Slide 17
Single View of the Citizen
Data Synchronization
Link and manage complex data relationships
A fundamental requirement to the success of a
Data Governance Initiative
Copyright 2007, Information Builders. Slide 18
Convert to a “Single View” Based Culture

Master Data are the facts describing your core business entities: Students, faculty,
classes, facilities, chart of accounts, location and employees. It is the high value
information an organization uses repeatedly across many business processes.

Single View technology decouples master information from individual applications
and ensures consistent master information across transactional and analytical
systems

Single View solutions are software products that:
 Support the global identification, linking and
synchronization of customer information across
heterogeneous data sources
 Create and manage a central repository or a databasebased system of record
 Enable the delivery of a single view for all stakeholders

An Single View program potentially encompasses the
management of student, asset, person or party, supplier and
financial masters.
Copyright 2007, Information Builders. Slide 19
Questions?
Next Step Opportunities
 Speak to Information Builders about
 Institutional Intelligence
and/or
 Enterprise Information Management
 Please give us your feedback (evaluation form)
 Tim Beckett
Information Builders
Higher Ed / K-12 Solutions Manager
Direct: 832-251-5702
tim_beckett@ibi.com
Copyright 2007, Information Builders. Slide 21
Copyright 2007, Information Builders. Slide 22