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How to establish the data management
strategy, organization, culture and
leverage key data governance trends
MDG Executive: Future IT Applications & ICT Intelligence Management
Michal Hodinka, 11.3.2021
Cross-industry studies show that on average
2
Harvard Business Review: May–June 2017 issue (pp.112–121) https://hbr.org/2017/05/whats-your-data-strategy
Less than half of an organization’s
structured data is actively used in
making decisions
80% of analysts time is
spent simply discovering
and preparing data
Less than 1% of its unstructured
data is analyzed or used at all
More than 70% of
employees have
access to data they
should not
CAN DATA BECOME
YOUR VALUABLE
ASSET?
Data as Assets
Without monetary value, it is difficult to measure how data contributes to organizational success
Physical assets can be pointed to,
touched and moved around.
They can be in only one place at a time
Financial assets must be accounted
4
5
Source:
https://www.newsweek.com/emotions-love-anger-anxiety-differ-cultures-1477453
EMOTIONS
Start with Critical
Business Process
Adopt Business-Focused View
Tailor Governance to
Data Characteristics
Distinguish Between Strategic
and Tactical Responsibilities
6
Gartner: Ignition Guide to Building a Data and Analytics Governance Program
If You Change Nothing
Nothing Will Change
8
Speed
Flexibility
Integration
Trust
Multiple Version
of Truths
(MVOTs)
Single Source
of Truth
(SSOT)
Turn Data into Action: “Data Literate Company”
More flexible and realistic approach to data and information architectures involves both a single source of truth (SSOT)
at the data level and multiple versions of truth (MVOTs) for customized interpretations of data
9
Target data processing architecture in innogy
Data catalog
iDataHUB (MVOTs) Data Science & Analytics
Leonardo
Lancelot
S3
NetApp
Redshift
Keboola
ETL
Extract, Transform and Load
Cisco IPCC
System of Insights (SSOT)
SAP BW on HANA
SAP Analytics Cloud
SAP ERP
SAP IS-U, CRM
SAP HR
Reporting
DataOps
Retail Apps
1
Rightsizing and targeting
effort
2
Deliver “just enough” and
“just in time”
3
Deliverables valuable to
business leaders
4
Accessibility to data
5
Set of data tools and user
knowledge
6
Evolution not revolution
LAW OF CHANGE
Organizations don’t change, people change
Thank you

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How to establish the data management strategy, organization, culture and leverage key data governance trends

  • 1. How to establish the data management strategy, organization, culture and leverage key data governance trends MDG Executive: Future IT Applications & ICT Intelligence Management Michal Hodinka, 11.3.2021
  • 2. Cross-industry studies show that on average 2 Harvard Business Review: May–June 2017 issue (pp.112–121) https://hbr.org/2017/05/whats-your-data-strategy Less than half of an organization’s structured data is actively used in making decisions 80% of analysts time is spent simply discovering and preparing data Less than 1% of its unstructured data is analyzed or used at all More than 70% of employees have access to data they should not
  • 3. CAN DATA BECOME YOUR VALUABLE ASSET?
  • 4. Data as Assets Without monetary value, it is difficult to measure how data contributes to organizational success Physical assets can be pointed to, touched and moved around. They can be in only one place at a time Financial assets must be accounted 4
  • 6. Start with Critical Business Process Adopt Business-Focused View Tailor Governance to Data Characteristics Distinguish Between Strategic and Tactical Responsibilities 6 Gartner: Ignition Guide to Building a Data and Analytics Governance Program
  • 7. If You Change Nothing Nothing Will Change
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  • 9. Speed Flexibility Integration Trust Multiple Version of Truths (MVOTs) Single Source of Truth (SSOT) Turn Data into Action: “Data Literate Company” More flexible and realistic approach to data and information architectures involves both a single source of truth (SSOT) at the data level and multiple versions of truth (MVOTs) for customized interpretations of data 9
  • 10. Target data processing architecture in innogy Data catalog iDataHUB (MVOTs) Data Science & Analytics Leonardo Lancelot S3 NetApp Redshift Keboola ETL Extract, Transform and Load Cisco IPCC System of Insights (SSOT) SAP BW on HANA SAP Analytics Cloud SAP ERP SAP IS-U, CRM SAP HR Reporting DataOps Retail Apps
  • 11. 1 Rightsizing and targeting effort 2 Deliver “just enough” and “just in time” 3 Deliverables valuable to business leaders 4 Accessibility to data 5 Set of data tools and user knowledge 6 Evolution not revolution
  • 12. LAW OF CHANGE Organizations don’t change, people change