Data Governance vs. Data Quality |  Upcoming Data Events & Data Podcast Episodes
Data Governance vs. Data Quality | Upcoming Data Events & Data Podcast Episodes

Data Governance vs. Data Quality | Upcoming Data Events & Data Podcast Episodes

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We often hear of data quality and data governance belonging together. That one cannot have good data quality without data governance. And that by doing data governance we achieve data quality. How so? What does that mean?

What is the relationship between data governance and data quality? Or are they the same thing?

Let's look at data quality first. Data Quality or Data Quality Management to be more exact is focused on ensuring the data adheres to our data quality dimensions. In other words, that data is:

  • Complete
  • Valid
  • Accurate
  • Timely
  • Consistent
  • Etc.

Data quality has a few dimensions and I will cover that in a separate article. But to clarify, data quality management ensures that our data adheres to these dimensions.

As Dr. Peter Aiken puts it, data quality ensures our data is "fit for purpose". Or To put it simply, data quality management ensures that we have data of good quality, data that is clean.

When it comes to data governance, I think this comes to no surprise that there are different definitions on what data governance is. Check out my other article on data governance to go over that or the one about data governance and data management to get more details and a better understanding on what each one of these is. But if you'd like to take a shortcut, data governance is “the discipline which provides the necessary policies, processes, standards, roles and responsibilities needed to ensure that data is managed as an asset.”

By now you might say, "Ok, I kind of get it, but we have data quality without having data governance." If that's the case I think there's 2 possible realities:

  1. There is no data governance
  2. Data governance exists, but it is undercover

Read more about the above in the full article on Data Quality and Data Governance.


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POOJA JAIN

Storyteller | Linkedin Top Voice 2024 | Senior Data Engineer@ Globant | Linkedin Learning Instructor | 2xGCP & AWS Certified | LICAP'2022

1y

Data Quality vs Data Governance! Burning discussion... George Firican

T. Scott Clendaniel

97K LinkedIn Followers | #AI Instruor UPenn | Top Voice

1y

George Firican we can't wait to read your latest issue of the LightsOnData newsletter! How on earth do you find the time to create all these "wonderful toys?" 😊🙃😁🙃😊

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Cristian Lopez Hidalgo

Lider de Desarrollo de Soluciones Digitales, Sistemas Industriales & CDO en ENGIE Chile

1y

Hi George Firican, do you know of any tools for data quality management?

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Aditi Khinvasara

Co-Founder of The Ravit Show | Data & Generative AI | Media & Marketing for Data & AI Companies | Community Evangelist | ACCA |

1y

Love the topic!

Dr. Joe Perez

✔LinkedIn Top Voice ✔Internat'l Keynote Speaker ✔CTO⠀ ⠀⠀⠀ ✔Best-selling Author⠀✔Senior Systems Specialist ⠀⠀⠀ ⠀ ⠀ ⠀⠀⠀ ✔Gartner Peer Community Ambassador of the Year 2023 ⠀ ⠀⠀⠀ ✔2021 Thought Leader of the Year

1y

Wow, George; you've done it again -- what an amazing choice for a topic! As a senior systems analyst and keynote speaker with a strong interest in business intelligence and data analytics, I believe that the relationship between data governance and data quality is a critical aspect of data management that needs to be discussed more often. While data governance provides the framework for managing data effectively, data quality is the foundation of a successful data analytics program. In my experience, organizations that prioritize data governance and data quality as part of their data management strategy are better equipped to make data-driven decisions that drive business growth and success. I tell you what, George; you and Diana consistently come up with top-notch stuff for the LightsOnData program. You never disappoint. I'm sure many are looking forward to this podcast and gaining more insights into this important topic, sir!

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