Data Governance: cos’è e perché è importante? (Elena Arista, Erwin)

An Enterprise Data Governance
Experience

DG: What Is It?
2© 2019 erwin, Inc. All rights reserved.

3
What is Data Governance (DG)?
UNDERSTANDDISCOVER
SOCIALIZE
Data
Sets
Data
Issues
Impact &
Lineage
ADMINISTER
Policies and
Rules
DGOM
Collaboration
Data
Dictionary
Data
Quality
Data
Usage
Reference
Data
Business
Glossary
V I S I B I L I T Y, C O N T E X T, C O N T R O L & A G I L E C O L L A B O R AT I O N
U N L O C K T H E B U S I N E S S VA L U E O F D ATA
What do we have?
What does
it mean?
Where did it
come from and did
it did it change on
the way?
Is it secure?
What rules or
restrictions apply?
How accurate
is it?
Who is
accountable?
Who is
using it?
How is it used?
How can
I access it?
Where is it?
DATA IN
CONTEXT
© 2019 erwin, Inc. All rights reserved.

What is The Context of Data Governance?
A Key Enabler of Data
Management
A Key Element of Data
Strategy

Data Governance: Playing Offense and Defense
Opportunity Enablement
• Enable Agility
• Optimize Insights
• Assure Sustainability
Risk Avoidance
• Enable Compliance
• Optimize Privacy/Security
• Assure Fitness
© 2019 erwin. All rights reserved. 5

DG: Why is It Important
© 2019 erwin, Inc. All rights reserved. 6

Data is an asset with great potential benefits and risks
7
Improved
Decision-Making
Reputation
and Customer
Relationship
Risk, Compliance,
Privacy & Security
Operational
Efficiency
Revenue
Growth

Data Is the Foundation of the New Digital Business Model
Those companies
that harness, secure
and leverage their data
are reinventing
themselves, redefining
markets and
transforming the way
customers think.
These companies are becoming known as Data-Driven Enterprises.
8© 2019 erwin, Inc. All rights reserved.

The Impact and Value Of Data Is Proliferating
9
Retailers that leverage the full power
of big data could increase their
operating margins by as much as 60%.
Estimates suggest that by better
integrating big data, healthcare could
save as much as $300 billion a year.
For a typical Fortune 1000 company,
a 10% increase in data accessibility
will result in more than $65 million in
additional net income.
But less than 0.5% of all data is ever
analyzed and used.

It’s Here!!
Are You Ready

11
Is Your
Data
Under
Control?
And it drives
Verizon’s purchase
price down $1
billion
The
Facebook
“Data
Trauma”
Syndrome

Are You Ready for Self-
Service Analytics, A.I.
and Machine Learning
• Need to accelerate time to value
• Need to mitigate the risks resulting from:
v Poor quality data
v Misunderstood data
v Incomplete data
v Misused data

Key Challenges To Data Success in the Real World
13
300 applications, 50
different databases and
different schema for
each one
No standard business
processes around
data usage
No contextual
governance framework to
govern data flows across
the enterprise
Data
Chaos
Data
Regulation
Unstructured
Control
Laborious
Ground Work
Time-consuming, manual
data preparation and
limited views of data
lineage

1000s of undocumented
applications and databases
1000s of business terms across
different business units
The Enterprise Data Dilemma:
What Data Do We Have and What Does it Mean?
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Harvest data
Collect data schema
and business terms
Organize data
Mapping data and
attributes
Contextualize
data
Standardize on
specific business
terms and definitions
Administer
data
Develop a
governance model to
manage standards
and set best practices
Socialize data
Enable all
stakeholders to see
data in one place in
their own context

DG: Current State

erwin State of Data Governance Report
• Surveyed North American companies in 16+
sectors, including financial services,
government, healthcare, IT and
telecommunications
• Respondents included CIOs, CTOs, data
center managers, IT staff and consultants
In partnership with

17
Key Findings
DEFINITIONS ABOUND
But it’s clear organizations are
coming at data governance from
many different angles.

18
Key Findings
A CONTRADICTION IN TERMS
98% of respondents view data
governance as either important or
very important from a business
perspective. However, a disquieting
46% don’t have a formal governance
strategy.

19
Key Findings
DO WE EVEN HAVE A BUDGET
FOR THAT?
More than one in five (21%) are just
getting started, meaning they’re in the
data discovery and inventory phase, and
63% either don’t have a budget for data
governance or don’t know if they do.

20
Key Findings
WHERE IS THE ENTERPRISE
IN ALL OF THIS?
At 40% of the organizations surveyed,
the IT department continues to foot
the bill for data governance expenses.

21
Key Findings
OBJECTS IN MIRROR ARE
CLOSER THAN THEY
APPEAR
Only 6% of enterprises are prepared for
GDPR, with less than four months until
the regulation goes into effect.

22
Key Findings
WHO’S IN CHARGE?
57% say both IT and the business are
responsible for data governance, yet 68%
say the CIO is driving the process.

23
Key Findings
DG ISN’T JUST FOR
COMPLIANCE ANYMORE
60% say regulatory compliance is the biggest
driver, but it’s not the only one. 49% see it as a
way to improve customer satisfaction, and
45% see it supporting better decision-making.
Reputation management (30%), analytics
(27%) and Big Data (22%) are also key
drivers.

24
Key Findings
ROADBLOCKS
58% of respondents report the biggest
obstacle is the cost of data governance,
followed by understanding the right
approach (42%), executive support
(42%); organizational support (39%),
effective tools (36%) and articulating
business justification (27%).

Key
Readiness
Areas: The 5
Pillars
• Initiative Sponsorship
• Organizational Support
• Data Governance Team Resources
• Enterprise Data Management Methodology
• Delivery Capability

DG 2.0: Key Components

Enterprise Data Governance Experience (EDGE)
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Risk Mitigation
and Regulatory
Peace Of Mind
Visibility
Across Domains
Integrated
Ecosystem
Any Data
Anywhere
Collaboration
& Organizational
Empowerment

Data Governance 2.0 Enabling Technologies
Enterprise Architecture
Data Literacy
Data Literacy
Business User
Portal
Business
Glossary
Data Cataloging
Data Catalog
Mapping &
Metadata
Lifecycle
Management
Reference Data
Management
Data Quality
Data IntelligenceEnterprise Modeling
Business Process
Schema and Database
Data Automation
Metadata Connectors and Automation (At Rest and In Motion)

Benefits for Every Stakeholder in the Data Value Chain
Data Analyst ETL Developer Data Architect BI Developer
Business Analyst Data Steward Data Scientist Data Owner
Collaborative Data Governance
Enhanced Capability Increased Efficiency Mitigated Risk
All Others
…

The erwin
EDGE Platform
The industry’s most connected, role-
based data management and
governance solution
Data Cataloging & Automation
Data Literacy & Collaboration
Enterprise Modeling

The erwin EDGE platform is providing data intelligence in context by combining enterprise architecture modelling with
business process and data entity modeling capabilities connected to a glossary that can support classification of data using
business ontology knowledge graphs, integrated with a data dictionary and data catalog containing location, relationship,
lineage, and motion intelligence of enterprise data.
Stewart Bond, Principal Analyst IDC 2019
Why erwin?
31
Most trusted name
in data, powering
mission-critical
applications for
world’s largest
organizations
Significant R&D
with customer input
to create tools for
digital
transformation
Only vendor
providing an EDGE
to deliver an aligned
and sustainable
operating framework
On-prem and
hosted delivery of
federated,
integrated and
adaptable solutions
Superior support and
services with industry-
leading customer
satisfaction
TRUST INNOVATION EDGE FLEXIBILITY SATISFACTION

Data Governance: cos’è e perché è importante? (Elena Arista, Erwin)

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