Data Governance Tutorial

DATA GOVERNANCE TUTORIAL // In the 15 years I’ve been working in data-related roles, I’ve seen the growing focus on data governance. In this data governance tutorial, we’ll look at what data governance is, why it’s important, and dive into the key details that set good data governance apart from poor (or nonexistent) ones.

Data governance can sometimes feel like it’s just there to create work. Why does data governance matter? Good data governance should actually make things easier for an organization. It creates structure and clarity which can make using the data much simpler.

It’s tempting to say - we want to govern all the data! But realistically, trying to document and set up rules and process for everything at the same time is usually a recipe for disaster or a delivery years in the future. This involves setting a scope of data that you’re going to work on.

We’ll talk about data quality and data integrity and how to select a data source when you have multiple available. We’ll look at how to combine different data sources through data mapping.

Additional topics include: documenting data sources, data governance roles, and what’s the difference between data governance vs data management?

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[Edbwalz]

Best explanation of data governance ive come across

[thatslucko]

Hi! I just got a job as a Data Management Officer. This helped a lot in my interview prep. Thank you so much!

[temitopekade]

Wow.. this is an amazing video. So granular and brings some excitement into understanding Data Governance and management

[XsugarcoveredpoisonX]

This is great and very well informed. You are good at teaching and explaining! Thank you! Keep up the good work!

[AbhaySingh-fxso]

Thank you for the interesting information Jen, Here are my take aways:
1. Don't boil the ocean, start with smallest business unit.
2. Data governance is a continuous efforts, every one within the organization has to collaborate and contribute.
3. Try to implement Data governance by design phase.

[mariaeme]

For an extensive theme as Data Governance and Data Management you explained it very clear the main concepts, with simple examples, dynamic voice, paused, effective, very good content and tutorial. I want to hear more from you. Thank you.

[gauravchheda]

Thanks for the video. It was really informative and helpful!

[yavarjn]

This was so informative. Every course I've watched so far is full of words and no indication of how to use it. Here all the information makes practical sense

[inderify]

Wow good brush up for me ..well explained 👍

[AnilChacko-ko]

any specific tool that you would recommend to get into Data Governance

[abdullahmusheer]

Wow great in depth explaination on data governance. .... thanks Jen :)

[levan]

This video is incredibly helpful. You have a gift for teaching and explaining things so well.

[sarj]

Thank you for this. This was very informative.

[AmitDas-zxhf]

I am into project management. I stumbled on to this video and gained some really thoughtful insights about Data Governance. Thank you.

[alanstandsalone]

This absolutely fantastic. Great explanations regarding all the aspects within data governance and where and why they are applied to the many different process throughout business.

[paradigm]

this was amazing, thank you so much for this <3, god bless

[riyasethi]

Amazingly explained with practical scenarios and examples.

[sarahbei]

great info! I would just suggest some brief pauses between topics to help the reader digest, the jump cuts are a little quick. I like the efficiency, though!

[statisticianwordnpl]

Hi i come from italy and first of all really interesting video!
i want to go to university, i m 22 years old and for corosna's fault i ve wen tback in my city and left engineering course.
i m intererest in data analyst field and i want to enroll into statsitc or computer science degree.
which kind of degree do you think that is better?
i analyzed both of degree and this is what i dicovered:
!)computer science has a lot of math, algebra and programming/architetture skills really useful in it carrers but there are few subject in statistic and the math that is used is not related to analytic field.
2)statsitc is focused in analytical subject like probability, using excel, r, sas, spss, buit less focused on it skills like operation system, datbaeses ecc.
there 1 course of programming and i think that is easy to learn alone databes structure.
really appreciate your answer, you seems really interesin this field and there are not too may people that explayn well likeyou.
ps sorry for my english, is not my main language :)
thanks :)

[apang]

Great explanation in a simpler way. Many thanks.