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
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
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