The document emphasizes the importance of collaboration between business and IT for effective data governance initiatives, highlighting the need for ongoing cooperation to identify gaps and improve performance. It outlines key strategies such as ensuring data quality, defining governance maintenance, identifying data challenges, and selecting appropriate solutions. Additionally, it underscores the role of data stewards and the necessity of establishing practices to handle deviations from business rules.

1. Collaboration
Business and IT should work together as
data governance initiatives require both to
ensure that processes and procedures can
be supported by technology. Ongoing
collaboration between groups ensures that
data governance initiatives will be more
effective over time.
Broader Information Entity Impact
Look at how each entity being managed
(customer, product, etc.) affects broader
business activities and what that means for
the organization. Identify gaps in
performance and note potential procedures
that have not been accounted for.
Other considerations include the following.
Data Quality
Your organization requires strong data
quality. Software and business processes
can be leveraged to ensure that quality
levels are measured and managed over
time using automated processes and
manual intervention, when needed.
Program Maintenance
and Management
Your organization needs to define how data
governance will be maintained over time.
This is where technology and process
converge to ensure that procedures apply to
ongoing program support.
Define
Your Key Data Challenges
In all projects, it becomes important
to start small and look at where your
data challenges exist. This requires
identifying gaps in performance,
negative customer experiences,
supply chain inefficiencies, etc.
Identify
Subject Matter Experts
Data governance requires business
experts who understand key data
entities and the tasks that link
business processes with technology.
For example, customers, projects,
supply chains, etc.
Develop
Business Rules for Data
Data entities have rules associated
with them. These may include the
flow of customer information and
how to ensure information quality
and reliability.
Select/Implement
a Solution to Support
Numbers 1 through 5
Many solutions exist that support
governance practices.
Organizations need to select a
solution that supports their overall
goals based on their business
needs, current infrastructure, and
overall goals.
Assign
Data Stewardship Roles
For data governance to succeed,
stewards need to take responsibility
for practices put in place. These
stewards ensure that data
governance practices are adhered
to and maintained over time.
Define
Practices and Policies to Deal with
Business Rule Deviations
This requires a collaborative
approach and holistic view of the
organization to identify how
business processes work and how to
handle exceptions.
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DATA GOVERNANCE
BEST PRACTICESGOING FROM
CONCEPTION TO
REALITYHow to Start a Data Governance Initiative to Ensure Developing
Successful Frameworks by Leveraging Best Practices