Post on 24-Dec-2015
Data Governance 101
Prepared by:Eva Smith, MSIM, CCP, CDMPInterim Director, Information TechnologyEdmonds Community College
FOR LIMITED EDUCATIONAL USE ONLY. Please do not share or distribute outside of the Washington State Community & Technical College system.
Data Governance 101
Presenters:
Eva SmithInterim Director, Information TechnologyEdmonds Community College
Susan MaxwellResearch, Reporting, and Data Integrity ProfessionalClark College
Carmen McKenzieData ManagerWashington State Board for Community & Technical Colleges
Technology & Equipment
Facilities /Real Property
Financial Resources
Human Resources
Shared resources need to be managed.
Definition source: http://www.yourdictionary.com/resource
Decisions made here
Purchased Applications
ApplicationDevelopment
State & FederalRegulations
Codes &Definitions
DatabaseDesign
Decisions made here
Purchased Applications
ApplicationDevelopment
State & FederalRegulations
Codes &Definitions
DatabaseDesign
… and hereWhere do I stuff the data?
How do I summarize the data?
How do I interpret the data?
end up as data here
OtherSystems
ReportingRequirements
BusinessDecisions
Or here…
Governance determines who makes decisions
Management is the process of making and implementing decisions
Data is a shared resource. It is used to answer questions…
Data Quality: Conformance
Does data conform to specified format standards?
Data Quality: ConsistencyIs there consistency in definitions and values across data sets?
Are these standards widely known?
Are they enforced by policy, process and structures?
Data Quality: Definition
Are we all speaking the same language?
But wait… isn’t data the responsibility of I.T.?
Data Governance DecisionsSource: Guide to the DAMA Data Management Body of Knowledge, 1st Edition
Shared Stewardship
Data• Raw materials
Technology
Information•Useful•Clean
Information•Not useful•Dirty
Create more ormake up our own
Can’t find itDon’t Trust itCan’t Access it
UncertaintyNot integratedNot documented
Data Governance
An emerging discipline that combines
data management, data quality, and
data policies through a system of decision rights.
WHAT IS DATA GOVERNANCE?
–A program, not a project–Not a one-time effort–Requires ongoing monitoring to
promote continuous improvement.
WHAT IS DATA GOVERNANCE?
• The execution of –enforcement and –authority over the management of data.
There are many possible roads to data governance
Work done to date• BAC and RPC joined forces to create a Data Task Force• Included two members per commission and five
members from RPC• Data Task force met regularly to get educated about
data governance and to create an Operating Model• Data Task Force presented to the WACTC Technology
committee and received the recommendation that RPC sponsor the activity
• RPC agreed to sponsor this activity and created the standing Data Governance Committee.
• We are already managing data in our system.
• A Data Governance program will formalize and standardize the process.
–RPC Data Stewards–BAC Chart of Accounts workgroup
Why do we need data governance?
External Evaluation Recommendations:
• An Efficiency Study recommendation
• Recommended by Gartner for the ctcLink project
Why do we need data governance?
• Increased ability to identify common data quality problems and to target interventions
Why do we need data governance?
• Increased ability to define and implement standard data definitions
• To determine and enforce consistent definitions of data elements across all colleges
Why do we need data governance?
• More efficient use of resources• Save resources and time through fewer
data resubmissions, corrections and audits
The Master Plan Blueprints
Architecture:
DATA TASK FORCE RECOMMENDATION
• Implement a Non-Invasive Data Governance program in two phases
– Phase I will focus on:• Implementing the data governance structure• Standardizing data definitions • The migration into the new ERP system–Requires strong coordination with the ctcLink
project governance
DATA TASK FORCE RECOMMENDATION
• Implement a Non-Invasive Data Governance program in two phases
– Phase II will focus on:• Data Quality• Business Intelligence• Program plan (developed during the end of
Phase I as the program matures)
Info
rmati
on Te
chno
logy
Exp
erts
Exectutive Level
Strategic Level
Tactical Level
Operational Level
Data Domain Stewards (Exists) Per Subject Area (i.e. Student, Financial, Personnel) Will propose data policies and standards to the Data Governance Committee. Responsible for implementing the data policies and standards.
Operational Data Stewards (Exists)
Per Subject Area (i.e. Student, Financial, Personnel)Accountable for execution and maintenance according to the data policies and standards.
WACTC, State Board and State Board Staff (Exists) Endorses the program and approves policy related decisions.
Information Technology Experts (Exists)
IT staff from the colleges, SBCTC Bellevue and SBCTC Olympia.
Non-Invasive Data Governance Operating Model
Data Governance Committee (New) Sponsored by the Researcher and Planning Commission. Provides oversight and decision making authority over data related issues.
Comm
unication and Escalation
Focus on what is most importantIm
pact
or r
isk
Shared resourceLow High
High
Low
Shared Data Governance
Data Governance committee
• Provide oversight and decision making authority over data related issues.
• A standing committee within RPC–Requires a vote during the business
meeting
Data Governance committee
• Provide oversight and decision making authority over data related issues.
• A standing committee within RPC–Requires a vote during the business
meeting
Data Governance committee
• One voting member from each commission’s Data Domain Stewards committee (a co-chair).
• Members of the Research and Planning Commission.
• This allows for a cross-functional decision making.
• Many of the existing Data Task Force members have committed to participating in the Data Governance Committee.
“An ethic that embodies responsible planning and management of resources.” (Wikipedia).
Stewardship:
Data domain stewards
• Responsible for proposing standard definitions and implementing the decisions made by the Data Governance Committee.
Data domain stewards
• Each commission forms one or more Data Domain Stewards committee depending upon the amount and complexity of the data within the commission’s functional area.
• Each committee will elect two co-chairs that will occupy the position for a two year period.
• Each committee shall also be staffed by SBCTC policy and IT members.
Operational data stewards
• Accountable for the execution and maintenance of the data according to the definitions, policies and standards.
Operational data stewards
• Already exists in our system, these are the data producers, the people who are entering the data or managing the data entry.
• The job responsibilities of the operational data stewards will not change from what they are today.
• They are being identified not given new responsibilities.
Collaboration with CTCLINK
• The ctcLink project offers an opportunity to implement consistent definitions and use of data elements across the system.
• The ctcLink project teams will communicate data elements and codes to the Data Governance Committee.
• The Data Governance program will provide the definition of the data elements.
• The ctcLink project will align the data elements/codes with the definitions.
NEXT STEPS
• Commissions are currently identifying their representatives and Data Domain Steward’s Committee structure.
• Data Governance Committee Kick-Off meeting planned for March, 2013.