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8/2/2019 Greg Nichelsen
1/23
Data GovernanceING Directs Journey to More Reliable Information
Greg Nichelsen
Head of Business Intelligence Customer Insight
28th March 2012
8/2/2019 Greg Nichelsen
2/23
Who Am I?
ResponsibilitiesStructure
Greg Nichelsen
Head of Business
Intelligence Customer InsightING Direct
8/2/2019 Greg Nichelsen
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What Will I Discuss Today?
1. A Simple Framework
2. Ways to Foster Focus on the Importance of Data Quality
3. Features of a Data Savvy Organisation
4. Making a Business Case for Governance
5. Building Awareness of Data Quality Initiatives
6. Maintaining Data Accuracy
7. Some Pitfalls
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Those organisations that do nothing and
continue to ignore the issue of poor data
quality will at best continue to operateinefficiently, miss opportunities, and
invest their resources in the wrong areas.
At worst, they will experience a slow
decline in their ability to compete,
eventually leading to failure.
Ted Friedman, Gartner Group
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Why Do I Care About A Data Quality Culture?
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owns it and
uses it?
is it?
is it used?
can I use it?
Where
Who
What
Why
Whenis it?
Howreliable is it?
A Simple FrameworkOwnership
Und
erstood
Relevance
Timeliness
Accessib
ility
Accuracy
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Ways to Foster Focus on the Importance of Data Quality
8/2/2019 Greg Nichelsen
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Ways to Foster Focus on the Importance of Data Quality
Force data compliance initiativesthrough the organisation
Implement a strong measurement
framework
Have a strong executive focus3
Get Tough
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Ways to Foster Focus on the Importance of Data Quality
2
Build a collaborative approach toDQ initiatives
Create change initiatives andeasy to roll out frameworks andstatements
Imbed a data focus intoorganisational culture
Get Collaborative
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Ways to Foster Focus on the Importance of Data Quality
1
Demonstrate the business casefor data initiatives
Measure and show improvement
Have some strong test cases toleverage and demonstrate valuecreation
Get Logical
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Ways to Foster Focus on the Importance of Data Quality
+ +Get Tough Get Collaborative Get Logical
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8/2/2019 Greg Nichelsen
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Features of a Data Savvy Organisation
No Data Apathy Power of Data
Recognised
Participation in Data
Initiatives
Data Flows Part of ProcessMapping
Data Considered as Partof Project Methodology
Data Initiatives Part ofOrganisational Strategy
Leveraging Data Insightsthrough BI
Organisation Data is WellUnderstood
Systems Support DataQuality
People
Process
Technology
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Making A
Business Case
for Governance
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COUNCIL
Key Senior Representation
from all Business Units
SPOKE
Representation from all
Business Units
Making A Business Case for Governance
HUB
IT
BI
Risk
BPM
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Making A Business Case for Governance
1. Start off slow
5. Include a data group andgovernance within thatinitiative
6. Demonstrate governance results
3. Find interested data parties within the organisation
2. Identify some core data sore points
4. Pick one major data initiative
7. Continue to expand the scope
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Building Awareness of Data Quality Initiatives
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Building Awareness of Data Quality Initiatives
If you can get two messages resonating in the organisation they are:
data is used over and over again andfor purposes we didnt originally
envisagetake personal responsibility to make
sure the data you use is good enoughfor what you need to do with it (fit for
purpose)
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Maintaining Data Accuracy
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Maintaining Data Accuracy
1. Sample indicators should be used to reflect your data profile2. Trends in data measures provide warnings on action
required3. Data measurement should be transparent
Add picture ofmonthly DMEG
pack
6. Project and process design methodologies should specifically call out data initiatives andadherence
7. Not all action needs to involve system changes
Measure Your Data
4. Data has to be accurate enough for the purposes it is used for5. IM Framework needs to call on requirements for ongoing data focus
Fit For Purpose
Embedded in Organisation
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What Not To Do.
Promisethe
world
Forgetthe
strategic
componentsof
datagovernance
(itisntjust
aboutquality)
Assumethatdata
improvement
meanslots
ofITwork
Takeontoo
muchinone
initiative
Workin
isolation
Makeanunbelievable
businesscasewithoutpast
dataqualityimprovement
wins
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