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Data Governance, SAS vinkling
Hvordan kan data governance se ut i praksis? Hvordan komme
i gang, og sammenhengen med andre SAS-produkter.
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Ved Terje Vatle, Business
Advisor Nordic CoE Information
Management, SAS Institute
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCEHVORDAN KAN DATA GOVERNANCE SE UT I PRAKSIS?
ITBusiness
Users
Data
Stewards
Create & Consume
Manage & Monitor
Implement,
Adapt & Extend
Steps (yellow = demo):
1. Discover quality
2. Define stnds & glossary
3. Evaluate and monitor
4. Correct data issues
5. Overview across
business and
technology
1
2
3
5
4
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCEFELLES STARTPUNKT
1
23
5
4
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCESTEP 1: DISCOVER QUALITY OF DATA 1
+
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCE
STEP 2: DEFINE ENTERPRISE WIDE DATA QUALITY
STANDARDS & BUSINESS GLOSSARY
Hvilken
definisjon er
den riktige?
Hvor skal jeg finne den?
2
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCE
STEP 2: DEFINE ENTERPRISE WIDE DATA QUALITY
STANDARDS & BUSINESS GLOSSARY
Define term templates as per business needs
By data domains such as Customer, Product
By business functions such as Risk, Marketing, HR
Data Domain
Business Function
2
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCE
STEP 2: DEFINE ENTERPRISE WIDE DATA QUALITY
STANDARDS & BUSINESS GLOSSARY
Protect valuable business data definition
Granular role-based user access
Workflow approval process
Granular Access
Data Governance Workflow
2
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCESTEP 3: EVALUATE AND MONITOR 3
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCESTEP 4: CORRECT DATA ISSUES 4
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCE
STEP 5: OVERVIEW ACROSS BUSINESS AND
TECHNOLOGY
Consolidate enterprise metadata
Import metadata from all systems
Visualize relationships in many views
Data Relationship Views
5
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCE
STEP 5: OVERVIEW ACROSS BUSINESS AND
TECHNOLOGY (USE ANY METADATA) 5
SAS Relationship
Service
SAS OMR
DataFlux
Data
Management
Server
Other
SAS Lineage Web
Application
Web Client
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCEHVORDAN KOMME I GANG?
DQ Analysis
DG Strategy DefinitionEDG Readiness &
Maturity Assessment
Business Drivers
Initiate Develop Consolidate
Scope
Prioritize
EDG Organizational
Framework
Data Stewardship
ModelVision, Mission
Statement & Guiding Principles
DG / DQ Processes
Technical Capabilities Gap Analysis
Business terms and rules definition
Data Profiling
Impact & root cause analysis
Quick wins analysis
DQ standards
& KPIs definition
Business Case
Risk, Cost, Benefits
Prioritization
DG Roadmap
Stakeholder Engagement Plan
Change Management Plan
Top-down
Bottom-up
Core Team Mobilization
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCEFOUR MISTAKES TO AVOID
Failing to Define & Design Data Governance
Prematurely Launching a
Council
Treating DG as a Project
Relying on the Big Bang
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCESAMMENHENGEN MED ANDRE SAS PRODUKTER
• Data Quality Advanced
• Data Management Advanced
• MDM Advanced
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
SAS DATA
GOVERNANCEHVORDAN VIL DATA GOVERNANCE SE UT FREMOVER?
• Linking to new data
sources
• Privacy & regulations
• Retention policy
• Data Quality
New sources New use cases New governance
Operational
data sources
Unstructured
data
Web & social
media
Sensors,
smart meters,
Internet of Things
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d . SAS Conf iden t i a l
Brand sentiment
Product strategy
Maximum asset utilization
SAS DATA
GOVERNANCEMERGING THE TRADITIONAL AND BIG DATA APPROACHES
Traditional Approach
Structured & Repeatable Analysis
Business users
determine what
question to ask
IT structures the
data to answer
that question
Big Data Approach
Iterative & Exploratory Analysis
IT delivers a
platform to enable
creative discovery
Business users
explore what questions
could be asked
Monthly sales reports
Profitability analysis
Customer surveys
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