By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
    benefits of data analytics for financial industry
    Fascinating Changes Data Analytics Brings to Finance
    7 Min Read
    analyzing big data for its quality and value
    Use this Strategic Approach to Maximize Your Data’s Value
    6 Min Read
    data-driven seo for product pages
    6 Tips for Using Data Analytics for Product Page SEO
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Data Governance and Data Quality
Share
Notification Show More
Latest News
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
ai in ppc advertising
5 Proven Tips for Utilizing AI with PPC Advertising in 2023
Artificial Intelligence
data-driven image seo
Data Analytics Helps Marketers Substantially Boost Image SEO
Analytics
ai in web design
5 Ways AI Technology Has Disrupted Website Development
Artificial Intelligence
cloud-centric companies using network relocation
Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation
Cloud Computing
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Data Governance and Data Quality
Uncategorized

Data Governance and Data Quality

JimHarris
Last updated: 2009/07/07 at 4:22 PM
JimHarris
7 Min Read
SHARE
- Advertisement -

Regular readers know that I often blog about the common mistakes I have observed (and made) in my professional services and application development experience in data quality (for example, see my post: The Nine Circles of Data Quality Hell).

Contents
Business-IT CollaborationData Quality AssessmentsPeople PowerConclusionRelated PostsAdditional Resources

According to Wikipedia: “Data governance is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, business process management, and risk management surrounding the handling of data in an organization.”

- Advertisement -

Since I have never formally used the term “data governance” with my clients, I have been researching what data governance is and how it specifically relates to data quality.

Thankfully, I found a great resource in Steve Sarsfield’s excellent book The Data Governance Imperative, where he explains:

More Read

analyzing big data for its quality and value

Use this Strategic Approach to Maximize Your Data’s Value

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing
Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC
Quality Control Tips for Data Collection with Drone Surveying
3 Huge Reasons that Data Integrity is Absolutely Essential

“Data governance is about changing the hearts and minds of your company to see the value of information quality… data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise…at the root of the problems with managing your data are data quality problems… data governance guarantees that data can be trusted… …


Regular readers know that I often blog about the common mistakes I have observed (and made) in my professional services and application development experience in data quality (for example, see my post: The Nine Circles of Data Quality Hell).

- Advertisement -

According to Wikipedia: “Data governance is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, business process management, and risk management surrounding the handling of data in an organization.”

Since I have never formally used the term “data governance” with my clients, I have been researching what data governance is and how it specifically relates to data quality.

Thankfully, I found a great resource in Steve Sarsfield’s excellent book The Data Governance Imperative, where he explains:

“Data governance is about changing the hearts and minds of your company to see the value of information quality… data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise…at the root of the problems with managing your data are data quality problems… data governance guarantees that data can be trusted… putting people in charge of fixing and preventing issues with data… to have fewer negative events as a result of poor data.”

Although the book covers data governance more comprehensively, I focused on three of my favorite data quality themes:

- Advertisement -
  • Business-IT Collaboration
  • Data Quality Assessments
  • People Power

Business-IT Collaboration

Data governance establishes policies and procedures to align people throughout the organization. Successful data quality initiatives require the Business and IT to forge an ongoing and iterative collaboration. Neither the Business nor IT alone has all of the necessary knowledge and resources required to achieve data quality success. The Business usually owns the data and understands its meaning and use in the day-to-day operation of the enterprise and must partner with IT in defining the necessary data quality standards and processes. 

Steve Sarsfield explains:

“Business users need to understand that data quality is everyone’s job and not just an issue with technology… the mantra of data governance is that technologists and business users must work together to define what good data is… constantly leverage both business users, who know the value of the data, and technologists, who can apply what the business users know to the data.” 

Data Quality Assessments

Data quality assessments provide a much needed reality check for the perceptions and assumptions that the enterprise has about the quality of its data. Data quality assessments help with many tasks including verifying metadata, preparing meaningful questions for subject matter experts, understanding how data is being used, and most importantly – evaluating the ROI of data quality improvements. Building data quality monitoring functionality into the applications that support business processes provides the ability to measure the effect that poor data quality can have on decision-critical information.

Steve Sarsfield explains:

- Advertisement -

“In order to know if you’re winning in the fight against poor data quality, you have to keep score… use data quality scorecards to understand the detail about quality of data… and aggregate those scores into business value metrics… solid metrics… give you a baseline against which you can measure improvement over time.” 

People Power

Although incredible advancements continue, technology alone cannot provide the solution. Data governance and data quality both require a holistic approach involving people, process and technology. However, by far the most important of the three is people. In my experience, it is always the people involved that make projects successful.

Steve Sarsfield explains:

“The most important aspect of implementing data governance is that people power must be used to improve the processes within an organization. Technology will have its place, but it’s most importantly the people who set up new processes who make the biggest impact.”

Conclusion

Data governance provides the framework for evolving data quality from a project to an enterprise-wide initiative. By facilitating the collaboration of business and technical stakeholders, aligning data usage with business metrics, and enabling people to be responsible for data ownership and data quality, data governance provides for the ongoing management of the decision-critical information that drives the tactical and strategic initiatives essential to the enterprise’s mission to survive and thrive in today’s highly competitive and rapidly evolving marketplace.

- Advertisement -

Related Posts

TDWI World Conference Chicago 2009

Not So Strange Case of Dr. Technology and Mr. Business

Schrödinger’s Data Quality

The Three Musketeers of Data Quality

 

Additional Resources

Over on Data Quality Pro, read the following posts:

  • INTERVIEW: Steve Sarsfield
  • DEBATE: How should data governance and data quality work together?

From the IAIDQ publications portal, read the 2008 industry report: The State of Information and Data Governance

Read Steve Sarsfield’s book: The Data Governance Imperative and read his blog: Data Governance and Data Quality Insider

Link to original post

TAGGED: data quality
JimHarris July 7, 2009
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
- Advertisement -

Follow us on Facebook

Latest News

ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
ai in ppc advertising
5 Proven Tips for Utilizing AI with PPC Advertising in 2023
Artificial Intelligence
data-driven image seo
Data Analytics Helps Marketers Substantially Boost Image SEO
Analytics
ai in web design
5 Ways AI Technology Has Disrupted Website Development
Artificial Intelligence

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

analyzing big data for its quality and value
Big Data

Use this Strategic Approach to Maximize Your Data’s Value

6 Min Read
data lineage tool
Big Data

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

6 Min Read
data quality and role of analytics
Data Quality

Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC

8 Min Read
data collection with drone use
Data Collection

Quality Control Tips for Data Collection with Drone Surveying

9 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?