Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Three Musketeers of Data Quality
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > The Three Musketeers of Data Quality
Uncategorized

The Three Musketeers of Data Quality

JimHarris
JimHarris
6 Min Read
SHARE

People, process and technology. All three are necessary for success on your data quality project. By far, the most important of the three is people.  However, who exactly are some of the most important people on your data quality project? 

Contents
    • Who are The Three Musketeers of Data Quality?
  • Who are The Three Musketeers of Data Quality?

Or to phrase the question in a much more entertaining way…

Who are The Three Musketeers of Data Quality?

1. Athos, the Executive Sponsor – Provides the mandate for the Business and IT to forge an ongoing and iterative collaboration throughout the entire project. You might not see him roaming the halls or sitting in on most of the meetings. However, Athos provides oversight and arbitrates any issues of organization politics. Without an executive sponsor, a data quality project can not get very far and can easily lose momentum or focus. Perhaps most importantly, Athos is also usually the source of the project’s funding.

More Read

August 18 CFO.com Webcast on Performance Management Implementation Barriers
Short Ham Rule and Data Governance
Some TLC for Your Data
No Privacy Through Difficulty
500 and Counting

2. Porthos, the Project Manager – Facilitates the strategic and tactical collaboration of the project team. Knowledge about data, business processes and supporting technology are spread throughout your organization. Neither the Business nor IT alone has all of the necessary information required to achieve …

People, process and technology. All three are necessary for success on your data quality project. By far, the most important of the three is people.  However, who exactly are some of the most important people on your data quality project? 

Or to phrase the question in a much more entertaining way…

Who are The Three Musketeers of Data Quality?

1. Athos, the Executive Sponsor – Provides the mandate for the Business and IT to forge an ongoing and iterative collaboration throughout the entire project. You might not see him roaming the halls or sitting in on most of the meetings. However, Athos provides oversight and arbitrates any issues of organization politics. Without an executive sponsor, a data quality project can not get very far and can easily lose momentum or focus. Perhaps most importantly, Athos is also usually the source of the project’s funding.

2. Porthos, the Project Manager – Facilitates the strategic and tactical collaboration of the project team. Knowledge about data, business processes and supporting technology are spread throughout your organization. Neither the Business nor IT alone has all of the necessary information required to achieve data quality success. Porthos coordinates discussions with all of the stakeholders. Business users are able to share their knowledge in their natural language and IT users are able to “geek out” in techno-babble. Porthos clarifies communication by providing bi-directional translation. He interprets end user business requirements, explains technical challenges and maintains an ongoing dialogue between the Business and IT. Yes, Porthos is also responsible for the project plan. But he realizes that project management is more about providing leadership. 

3. Aramis, the Subject Matter Expert – Provides detailed knowledge about specific data subject areas and business processes. Aramis reviews the reports from the data quality assessments and provides feedback based on his understanding of how the data is actually being used. He helps identify the data most valuable to the business. Aramis will often be an excellent source for undocumented business rules and can quickly clarify seemingly complex issues based on his data-centric point of view.

Alexandre Dumas fans will recall the novel’s plucky primary protagonist was an outsider who became the Fourth Musketeer, and yes, data quality has one too:

4. D’Artagnan, the Data Quality Consultant – Provides extensive experience and best practices from successful data quality implementations. Most commonly, d’Artagnan is a certified expert with the data quality tool you have selected. D’Artagnan’s goal is to help you customize a technical solution to your specific business needs. Unlike the Dumas character, your d’Artagnan usually doesn’t accept the Musketeer commission at the end of the project. Therefore, his primary responsibility is to make himself obsolete as quickly as possible by providing mentoring, documentation, training and knowledge transfer. 

Your data quality project will typically have more than one person (and obviously not just men) playing each of these classic roles although you may use different job titles. Additionally, there will be many other important people on your project playing many other key roles, such as data architect, business analyst, application developer and system tester – to name just a few. 

Data quality truly takes a team effort. Remember that you are all in this together.

So if anyone asks you who is the most important person on your project, then just respond with the Musketeer Motto:

“All for Data Quality, Data Quality for All”

Link to original post

TAGGED:data quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Data Quality: A Cause and Effect Story

4 Min Read

The Idea of Order in Data

6 Min Read

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

9 Min Read

Which came first, the Data Quality Tool or the Business Need?

8 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?