Presentation by Michiel De Keyzer (PwC) at the Data Vault Modelling and Data Governance conference on Oct. 17, 2019: The hard sell of Data Governance: Getting the organisation and people behind your data governance programme
This presentation explains why data is an asset as any other asset, and what this means in practice, followed by some tips and tricks on how to get management buy-in, support and stakeholder engagement for your data governance programme and how to do this from the start. Additionally, Michiel zooms in on how to implement data governance elements pragmatically and gradually, delivering tangible results, approaching it through well scoped use cases and solving data quality issues.
Throughout the presentation, different real-life cases are used as an example, as well as "tools" that are used in practice throughout data governance projects.
Similar a Presentation by Michiel De Keyzer (PwC) at the Data Vault Modelling and Data Governance conference on Oct. 17, 2019: The hard sell of Data Governance: Getting the organisation and people behind your data governance programme
Similar a Presentation by Michiel De Keyzer (PwC) at the Data Vault Modelling and Data Governance conference on Oct. 17, 2019: The hard sell of Data Governance: Getting the organisation and people behind your data governance programme (20)
Presentation by Michiel De Keyzer (PwC) at the Data Vault Modelling and Data Governance conference on Oct. 17, 2019: The hard sell of Data Governance: Getting the organisation and people behind your data governance programme
1. Getting the
organisation and
people behind your
data governance
programme
Presentation by Michiel De Keyzer
October 2019
Presentation by Michiel De Keyzer
October 2019
2. PwC
Onboard people with
data governance
Data is an asset to your organisation
Data should be managed as any other
asset
2
1
2
3
Framework
Build a framework and think about solutions
Roadmap
Defining the rolling-out plan
3. PwC
Onboard people with
data governance
Data is an asset to your organisation
Data should be managed as any other
asset
3
1
2
3
Framework
Build a framework and think about solutions
Roadmap
Defining the rolling-out plan
4. PwC 4
October 2019Getting the organisation and people behind your data governance programme
COMPANY ASSETS
Human capital
Financial resources
…
Fleet
IT assets
What make them an asset?What are company assets?
They add value to the product or
service and they are necessary for
assembling the product or
delivering the service
5. PwC
Let’s start with some questions
5
October 2019Getting the organisation and people behind your data governance programme
Can you agree that data is an asset to the organisation?
6. PwC
How do companies manage assets?
Getting the organisation and people behind your data governance programme October 2019
6
Stocking and
describing the
assets
Use the
descriptions for
multiples
purposes
Tracking
manipulation and
change
Manage the
quality of the
assets
Tools to manage
the assets
People
responsible for
the assets
8. PwC
Let’s start with some questions
8
October 2019Getting the organisation and people behind your data governance programme
Should data be managed accordingly?
Can you agree that data is an asset to the organisation?
9. PwC
Onboard people with
data governance
Data is an asset to your organisation
Data should be managed as any other
asset
9
1
2
3
Defining the framework
Co-creation for maximum buy-in
Roadmap
Defining the rolling-out plan
10. PwC
Getting buy-in about the framework is essential for the success
of your programme
Getting the organisation and people behind your data governance programme October 2019
10
Use co-creation techniques for identifying the elements of your framework
What information are you working with?
What issues are you facing?
What should be in place to solve these issues?
What would this mean for your information assets?
What are the priorities?
11. PwC
Data catalogue
Data ownership and stewardship
Link solutions to real business issues
Getting the organisation and people behind your data governance programme October 2019
11
Missing SPOC
No view on data in the organisation
Business glossaryDifferent meaning for the same terms
Data lineageLack of a view on how data flows
Data quality processData is of bad quality
… and many other such as standards, enterprise data model, version
management, link business and IT, enterprise data manager, data
integration...
Master data management and data
architecture
Data is scattered
12. PwC
Onboard people with
data governance
Data is an asset to your organisation
Data should be managed as any other
asset
12
1
2
3
Framework
Build a framework and think about solutions
Roadmap
Defining the rolling-out plan
13. PwC
Define the framework and go use case driven
13
Start small and grow gradually
Use case driven
○ Resolving pain points
○ Answering business questions
Value in each sprint
14. PwC Enterprise Advisory cvba
Data management @ VRT dinsdag 12 februari 2019
14
An agile use case drive roadmap is essential for making benefits
tangible in a reasonable amount of time
Framework development
Roles and responsibilities
Processes and methods
Tools
IBP
360° view on
watcher’s
experience
Mapping data
for analytics
Metadata
quality of
content
15. PwC
Onboard people with
data governance
Data is an asset to your organisation
Data should be managed as any other
asset
15
1
2
3
Framework
Build a framework and think about solutions
Roadmap
Defining the rolling-out plan
16. PwC
And some final elements that can help a successful roll-out...
16
Driving leader Communication Tools
18. HFB
Programma voor intern informatiebeheer
Raamwerk voor informatiebeheer
DATA GOVERNANCE FRAMEWORK
Awareness
Communication
Training
Objectives & principles
Mandate
Roles &
responsibilities
Tools
Guidelines &
Processes
20. VRT
Informatiebeheer roadmap
Geen algemeen
overzicht van
beschikbare data
Gebrek aan
duidelijke definities
en andere
documentatie
Gebrek aan
algemene
coördinatie
Geen afstemming
tussen business en
IT
Verschillende
formaten en
structuren
Verschillende
versies van dezelfde
informatie
Geen zicht op wat
de master data is
Geen processen om
problemen rond
gegevenskwaliteit
op te lossen
Geen
organisatiebrede
rollen & processen
Onduidelijke
communicatie
omtrent
informatiebeheer
Gebrekkige
datakwaliteit
Geen
contactpersoon als
dataproblemen
optreden
Lastige indiening,
validatie en
opschoning van
gegevens
Gelimiteerde
integratie van
analytische tools
1 2 3 4
5 6 7 8
9 10 11 12
13 14
Annex 1: Veel voorkomende informatieproblemen
Geen
informatiestrategie
15 Informatiebeheer
niet geïntegreerd in
bedrijfscultuur
16
21. VRT
Informatiebeheer roadmap
Dubbelzinnige
rapportage
Mensen weten niet
hoe met data om te
gaan
Geen duidelijk
archiveringsproces
Gebrek aan
‘lifecycle
management’ voor
informatiebeheer
Onduidelijkheid
over nut van Open
Data
Weinig ownership
over data na
afsluiten project
Benodigde data
verandert continu
Niet alle data is
toegankelijk voor
de juiste personen
Te weinig training
rond
informatiebeheer
Geen éénduidige
afspraken omtrent
metadata
Data heeft niet het
juiste niveau van
detaillering
Beheer van data
niet opgenomen in
KPIs
Data security wordt
niet in rekening
gebracht
17 18 19 20
21 22 23 24
25 26 27 28
Annex 1: Veel voorkomende informatieproblemen
Geen holistische
kijk op
informatie-assets
29 30