TECH: Building an effective data governance framework. Preserving the integrity and consistency of your organization's data is crucial. Learn best practices for managing a strong data governance program and maximizing the efforts of data stewards in this guide.
Effective data governance serves
an important function within the enterprise, setting the parameters for data
management and usage, creating processes for resolving data issues and enabling
business users to make decisions based on high-quality data and well-managed
information assets. But implementing a data governance framework isn't easy.
Complicating factors often come into play, such as data ownership questions,
data inconsistencies across different departments and the expanding collection
and use of big data in
companies.
Data stewardship adds another dimension -- and
more challenges -- to data governance efforts. Whether an organization hires
full-time data stewards or delegates stewardship responsibilities to existing
employees, business units sometimes are reluctant to accept the new arrangement
for maintaining data definitions and enforcing polices on data use. In an ideal
environment, all users adopt a stewardship-minded approach and take
responsibility for handling data in a way that both meets their immediate
business needs and serves the company's overall requirements for data quality
and consistency. But data stewardship processes need to be attuned to an
organization's corporate culture in order to help foster internal adoption and
compliance.
Developing a successful data governance strategy requires careful planning,
the right people and appropriate tools and technologies. This essential guide
offers best-practices advice for managing data governance projects, an
exploration of data stewardship and details about common problems that
organizations have experienced while instituting data governance programs --
and how they solved them.
1Best practices
Best
practices for a data governance program that works
Experienced users have the best insights for
managing a data governance program and attaining defined goals. The articles in
this section explore best practices for building an effective data governance
framework, including communication processes, team involvement and strong
management.
Feature
To produce the desired benefits from a data
governance process, make sure you know why your organization is pursuing it in
the first place, says consultant Danette McGilvray. Continue Reading
News
Two IBM customers reveal some of the lessons
they learned after implementing ambitious data governance programs. Continue Reading
News
Sometimes business leaders overlook the need
for data governance management and funding, so motivated IT staffers and
business users may have to drive projects from the bottom up. Continue Reading
News
Michele Koch, director of enterprise data
management at Sallie Mae, explains the key strategies and tactics that fuel the
student loan provider's data governance program. Continue Reading
Feature
Learn about 10 common data governance mistakes
that can lead to failed initiatives, and get advice on what to do instead. Continue Reading
2Data stewardship
Data
stewardship: The role of data stewards
Data stewards fulfill important tactical
functions by supporting enterprise data governance initiatives in various ways.
Learn about the role of data stewards and the function of data stewardship in
the following stories, which examine the challenges and benefits of adopting
data stewardship programs.
Tip
Get tips on building and managing a data
stewardship program that supports your organization's data governance efforts. Continue Reading
Feature
Implement strong project management processes
to support your company's data stewardship framework and produce measurable
results. Continue Reading
Feature
Data stewards may have to adopt a shorter-term
and narrower view of data stewardship to accommodate the needs of users on big
data analytics projects. Continue Reading
Feature
Many companies are still reluctant to adopt
data stewardship programs despite evidence that they improve corporate data
quality. Continue Reading
Tip
Chief information officers and other IT
managers can use data stewardship techniques to help their companies get useful
information from business intelligence and big data applications. Continue Reading
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3Problem solving
Solving
problems that arise in data governance programs
Implementing a data governance framework, or
upgrading an existing one, raises questions about required tools, data quality
levels, internal skills and potential resistance to change. Experts and users
offer advice on how to overcome common issues in the following articles.
Tip
Data governance success requires standard
processes and best practices in addition to helpful tools, says consultant
David Loshin. Continue Reading
Feature
Most companies are still learning how to
implement effective data governance to get the most from their big data
environments. Read advice on what to do. Continue Reading
Feature
Learn how master data management and data
governance can enhance data accuracy and consistency. Continue Reading
News
Gain insight into data governance challenges
and get tips on overcoming them from IT professionals at Sallie Mae and Fannie
Mae. Continue Reading
News
Learn about data governance roles and
responsibilities, and get advice on the management and technical skills that a
successful data governance strategy and program requires. Continue Reading
4Glossary
Terms
related to data governance and stewardship
Read about these terms to gain a better
understanding of the topics covered in this data governance framework guide.
·
big data
