The Key Reason Why Your DG Program is Failing

THE KEY REASON WHY YOUR DATA GOVERNANCE
PROGRAM IS FAILING

CCG
We bring great People together to do extraordinary Things
DATA ANALYTICS STRATEGY
Working with CCG is like working with extended team members. Consultants become an
integral part of the work bringing expertise for cutting edge design and development.
- CIO, HCPS

Natalie Greenwood
Director of Strategy
• Management of global/regional
projects and programs across
diverse IT and business
environments.
• Consistently delivering results and
assuming responsibilities with
increasing complexity.
• Creation of actionable innovation
strategies.
• Background in building and
strengthening teams/ leveraging
internal cross-functional staff and
partners to achieve common goals.
• Striving to create positive and
inclusive work environments where
everyone takes pride in their work.

Background
Overview of the five core
areas of Data Governance
Why starting with
Metadata Management
technology is risky
Deep dive into Program
Management and
Metadata Management
Metadata Considerations
Recap
Q&A
AGENDA

Background
Over and over again we hear
of clients that have
purchased expensive
technology to enable
metadata management.
Those very expensive tools
end up sitting on the shelf.
Today, we will discuss the
risk of purchasing Metadata
Management technology
without your DG Program
Management function
enabled and how to avoid
making these costly
mistakes.

Data Governance is the
organizational approach to
data and information
management, formalized as
policies and procedures that
encompass the full life cycle
of data, including acquisition,
development, use, and
disposal.

Today, we will take a
deep dive into the
Program Management
and Metadata
Management functions
of Data Governance

What is Metadata?
Definition: Metadata is the data that describes all aspects of an enterprise’s
information assets and enables the enterprise to effectively manage and use
these assets.
Please don’t
say “Data
about Data”
“Metadata” is a term that is used
frequently, but often without a clear
understanding of what it means.
A significant part of the work of Data
Governance involves metadata

Types of Metadata
Business Metadata:
Metadata about business-
level concepts, and which
is understandable to the
business. E.g. Business
terms and their
definitions.
Technical Metadata:
Metadata about physical
infrastructure that
manages data, and the
structure of physical data.
E.g. Database table
definitions.
Operational Metadata:
Metadata about events in
the processing of data.
E.g. Data movement job
start and end times.
Traditionally, metadata has been broken down into three major groups:

Where is Metadata?
Data
Some people know the
Metadata
Written
Documentation
Accessible Metadata
Repository / Tool
Often there is no Metadata, or
it is lost or forgotten
The trend is to have metadata stored in special repositories and tools where it
is more structured, and more easily accessible

Data Dictionary
Data Asset Catalog
Data Lineage
Business Glossary
Data Standards
Requires definition refinement and approvals
Development and maintenance – this is not
always automated
Data lineage needs to be updated/refreshed
Requires business context and approvals
Need to be written, approved, and adhered to
Metadata Management requires people, process, standards, and workflows to be
successful.
Metadata Management is more than just
technology.
Metadata

Org Structure
Strategic Positioning
Education & Training
Org Preparedness
Policies & Procedures
Are the right people in-place?
Is the organization aligned?
Do users understand their roles?
Do you have sponsorship/support?
Are policies and procedures defined
Program Management must come first, or else the strategy will have no one to
execute it.
The enablement of the Program
Management function is key to the overall
success of metadata management.
Program
Management

Enforced
The enterprise-wide DG
Program is well
established. Adherence is
mandatory for assigned
business units. Business
units rely on the
enterprise for direction.
Shared
Accountability
Governance is centrally
controlled. Adherence is
measured. Continuous
monitoring and program
improvement as the
organization scales.
Emerging
Enterprise-wide DG
Program planning &
requirements gathering
has begun. Business units
are primarily siloed and
making governance
decisions locally.
Sponsored
An enterprise-wide
sponsored DG Program
has been defined. Business
Units are encouraged to
adhere. Adoption in
critical business units
started.
Undisciplined
There is no Enterprise-
wide DG Program or
enterprise support. DG is
not considered a priority
and/or is managed locally
within individual business
units.
1
2
3
4
5
Program Management
Capability Maturity Model: Level 3
Maturity
Capability
You need to be at a level 3 before procuring technology.

Dictionary
DataLineage
ReportCatalog
Glossary
Stewardship
Ingestion
Customizable
PartnerBenefits
Cost
CloudorOn-Prem
Gartner
Collibra X X X X X X X X $$$ O/C X
Alation X X X X X X X X $$ O X
Infogix (owns DATUM) X X X X X X X X $$$ C X
Erwin X X X X X X X X $$ O X
Octopai X X X X X X X X $$ C X
DTA Associates X X X X X X X X $$ O X
Azure Data Catalog X X X X X X X X X C x
Alteryx Connect X X X X X X X X $$$ O x
Don’t get the cart before the horse!
2. Cost considerations
1. What capabilities and
functionality does your
organization need
3. Solution provider
considerations
Technology, it’s a big
decision
Legend for Capabilities
• 0 = No Functionality
• 1 = Functionality doesn’t meet needs
• 2 = Some functionality meets needs
• 3 = Functionality meets needs

Data Stewards
Data Stewards are operationally in charge of supporting a
certain set of data, usually on behalf of a Data Owner.
Leading and supporting the data standards efforts
Ensuring that information meets customer needs
Assessing data early in the data collection process
Data Owners are needed to facilitate decision making and Data Stewards are needed to execute
Data Owners
Data Owners are leaders who have accountability over a
certain set of data.
Assigning Data Stewards to data, with guidance driven
by controls and metrics
Determining and documenting metadata for owned
data, including lineage, usage, value, and classification
confidentiality, integrity, and availability
Establishing controls for business use
Reporting and escalating data issues and regulatory
requirements
Establishing requirements and assessing the quality
of the data
Creating data standards and business rules
Your organizations operating model needs to be defined
and enabled to execute on Metadata Management
successfully
Operating Model

Data definition approval/certification process must be defined to
support technology
Workflow Definition and Enablement

Recap
Technology Procure the appropriate technology to support the organizations metadata management needs
Workflow
Design and enable workflows
Ensure buy-in (is the process working as defined)
Track usage
Program
Management
Operating model defined and enabled
People identified
Process defined

THANK YOU!
www.ccganalytics.com/dg | (813) 968-3238

The Key Reason Why Your DG Program is Failing

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