uwnewdealdgiqconferencecopy-final
TRANSCRIPT
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How the UW Overcame the Great Data Depression!
Bill YockDirector of Enterprise Information Services
UW IT – Information Management
The New Deal
DGIQ Conference, June 25th, 2012
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UW a Diverse and Complex University!
Celebrating our 150th year!Multi-campus UW Seattle, UW Tacoma, UW Bothell and a world class academic medical center
17 schools and colleges offer 250 degrees across 150+ programs and confer 12,000 degrees annually
47,238 students and 27,900 faculty and staff
50 centers, institutes and research operations in 20 states, and 10 countries around the world
$5.6 billion operating budget this FY 67% from tuition as UW lost half its state funding since 2009
Over 700 Applications in our IT portfolio
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The UW New Deal Programs
• DMC• ERS• PEM• DSS• DAC• EDW• DQM
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DMC – Data Management Committee
Working hard to build a data governance foundation!
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DMC Data Management Committee
Makeup• 20 plus committee
members from various units (Managers, Directors and AVP level representatives)
• 5 member Steering Committee (STIC)
• Various Sub-committees
Operations• Meet every 2 weeks
• Annual assessment and review of needs
• Enterprise Risk Management (ERM) based approach to informed decisions
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DMC – ERM Example
• Two primary scenarios were evaluated • Historical data decentralized and deleted from EDW• Historical data centralized and retained in EDW
• 6 Risk Statements were developed• Breach of PII data• Inability to analyze data historically• Etc.
• ERM Framework ranks risks according to “Likelihood” and “Impact”
• Likelihoods and Impacts are multiplied together to come up with a “Risk Score” for each risk statement.
Enterprise Risk Management involved with retaining historical data in the data warehouse
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DMC – ERM Example
Enterprise Risk Management Assessment
Likelihood and impact are multiplied to produce a level of risk
Likelihood and impact scale
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DMC – ERM Results
• Centralizing and retaining historical data in EDW will significantly reduce risk to UW.
• Risk estimated to decrease by two risk levels, or over 50%,
from risk level “High” (orange) to risk level “Medium”
(green). • Risk 6: Breach of PII shows most significant decrease.
Enterprise Risk Management Results
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ERS – Enterprise Reporting Service
Working hard to conserve our data assets
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ERS Enterprise Reporting Services
Drive adoption and implementation of performance metrics that measure the University’s strategic educational, research and service missions
Develop and implement Enterprise Reports that monitor progress towards performance targets
Deliver Enterprise Reports that assist in making key resource allocation decisions.
Centralize the production of Enterprise Reports for consistency, clarity and ease of access.
Establish necessary support and training mechanisms for interpretation and use of Enterprise Reports
The Enterprise Reporting Service is charged by our Provost to…
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ERS Enterprise Reporting Services
ERSDomain Leaders
Planning &
Budgeting
Executive Sponsors
Deans & Academic Advisory Groups
UW-IT Info
Mgmt
Academic Units
AdminUnits
Data Mgmt
Committee
Data Custodia
ns
Data Trustees
Governance & PrioritySponsor & SupportKey Stakeholders & Communication
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PEM – Performance Evaluation Metrics
Working hard to feed data to our administrators!
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PEM Performance Evaluation Metrics
• Establishes consistent metrics for comparison across units
• Defines key terms and ratios for easy analysis
• Delivers data from a single central source for non repudiation
• Begins to answer questions like “What are the cost drivers of
delivering education to our students?”
PEM Reporting is a key business imperative that…
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PEM Performance Evaluation Metrics
Enrollments per FTE
Majors per FTE
Budget $ / Student Credit Hrs Taught
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DSS – Decision Support Services
Working hard to deliver data efficiently
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DSS Decision Support Services
• Business Intelligence Services
• Metadata Management Services
• Training and education Services
• Quality Assurance Services
• Data Access Control (DAC) Services
Delivering Information for Decision Making by providing…
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DAC Data Access Control
ASTRAAccess to Systems, Tools, Resources and Applications
DAC Data Access Control
SMAT Security Metadata Administration Tool
Recently awarded a Campus Technology Innovation Award!
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EDW – Enterprise Data Warehouse
Working hard to power our data into information
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EDW Enterprise Data Warehouse
• Business Functional Requirements (BFR) and Business
Dimensional Modeling (BDM)
• Kanban Agile development Processes
• Integrated Build-Out Teams
• Master Data Management (MDM)
• Data Quality Management (DQM)
The Enterprise Data Warehouse Program is evolving in several significant ways...
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DQM Data Quality Management
• Rigorous Data Profiling and Correction
• Scenario and Stage Gate based quality processes
• Data Quality Rules based on Criticality and Acceptance ratings
Several new DQM techniques are being implemented…
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DQM Data Quality Management
PresentationSource Data IntegrationStaging Cube
Gate 1Filter based on Criticality Rules
Gate 2Filter based on
Acceptance Rules
Data Profiling
Data Correction
DQ Criticality Rules
Data Tagging
DQ Auditing
DQ Notifications DQ Testing
DQ Accept Rules
DQM Framework
Data CustodiansSME’s
EDW AnalystsEDW Engineers
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DQM Data Quality Management
Class Code ClassDesc1 Freshman2 Sophmore… …6 5th Yr Senior7 PhD Candidate
ID Name ClassCode Class Desc1 Mary 2 Sophmore2 John 4 Senior3 Brad 77 Invalid4 Julie 1 Freshman5 Jack 55 Invalid
Scenario: Out of Range Lookup Code Values
• Suspect data “Tagged” and brought into the EDW
• Data Custodians notified to correct source system
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Questions ?
Visit the DMC Web Page http://www.washington.edu/uwit/im/dmc/
Visit the DSS Web Page http://decisionsupport.washington.edu
Visit the OPB Web Page http://opb.washington.edu/
Contact: Bill Yock [email protected] 206.685.7535