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Charlotte Ledoux Charlotte Ledoux is an Influencer

Data & AI Governance Expert 🔎 | Data Governance coaching | Women in AI | Speaker | LinkedIn™️ Top Voice in AI 🇫🇷

Nobody understands Data Governance. So I've put together a glossary to help, a very honest version 😁 Let me know your true definitions to these words in comments ! -- Want even more? I'll send you : - The best Data Governance tips every 2 weeks in your inbox - Subscribe here : https://lnkd.in/eV2bfB83 #datagovernance #data

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Vipin Shukla

Sr Project/PMO Manager, AgilePM® Practitioner, PRINCE2® Practitioner, SAFe 4 Agilist, Certified Scrum Master

1mo

I would add, Data Governance council and Sponsor

Pierre-Charles Igras

Head of Data Office Trading | CDMP®

1mo

Hello Charlotte just curious about your definition of data owner, why do you say it does not exist anymore? 🤔

Peter Brannan

Data Governance Lead at Genesis Energy

1mo

If you had a general Data Architect who wasn't permanently hijacked by projects but took a monitoring and holistic view over the whole organizations data, and had the power to set standards, combined with Data Stewards embedded in each business unit, you probably wouldn't need DG as such

Sri Bhamidipati

Cloud enablement Practice Head, Databricks Champion Leading Digital transformation & Cloud Spend Management solutions

1mo

Thank you for bringing a forum. My two cents: To govern data, A. We need data B. We need purpose, not just hoarding it C. We need a government to govern Well, so far the government model has been dictatorial, not democratic ( some might add flavors like libertarians...) For a company to run, they need centralized control. In the world where we are preaching data products, stewardship, ownership etc (democratic), we either want to bring groups/individuals who produce or consume data as owners or. We want to bring "experts" (like career dipl.) to define and control . Either way we do not have policies, procedures, observancy, courts to arbitrate in this so called data democracy. An expert or owner not aways a great collaborative and +ve influencer towards greater good of the corporation when it comes to data and it's governance. Hence so far all our efforts to implement these strategies are inadequate and failure prone, no matter how great our tech stack, procedures, tools are and how great a ROU we were showing on paper. So a model for data governance is A MUST that has well defined, vetted, automated, observable policies, procedures, measurements are there along with a well defined criteria of selecting right people.

alexander garcia

His approach to technology focuses on stakeholders and business value; he is an intermediate between business and technical community in data integration, governance, interoperability, semantics and Knowledge Graphs

1mo

genai and then why data gov exists a bit of caution here data gov was around long before genai gained all this recognition. in general i dont like your chart because it over simplifies a topic, dg, that very few companies have under control. the idea that simplification is the answer... perhaps some of the people who should understand dg should do some study of all things data so that over simplifications where a lot is lost in translation would not be so higly desired.

Patrick Jacolenne

Revolutionizing Data & AI Governance | Battle-Tested Insights on Data, Leadership and Culture 📈🌐 l RE Developer and Investor @ Dwell Collectives

1mo

This is hilarious, love it! In my experience there is no standard glossary, you need to meet the organization where they are at as far as data maturity, strategy and people & culture. Most likely all of this already exists, but if you start trying to use fancy words like taxonomy and there's a lack of general understanding around the term and its usage. Then you're spending all your time trying to get them aligned to a definition versus identifying aspects of what they already have in place related to the topic and moving that needle forward.

Great post! You mention taxonomy - there are 3 ways of creating one: Autogenerated Terminology generated Domain expert built The first two are inevitably textual but Terminology underpins better than Autogenerated. Depending on your data AI use case, Domain expert review and enhancement might make the difference between success and failure. Coreon is ideal for this - managing and editing the taxonomy/Ontology https://coreon.com/multilingual-ai/

Jean-Christophe Bouramoué

CTO & Founder at TALE OF DATA

1mo

A proposed alternative definition.  𝗗𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆: it's the dirt and dust on the carpet that gets noticed and makes a mess.  𝗧𝗵𝗲 𝘂𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻: buy a gray carpet. 😁

K Benyahia

Directeur de programme, projet. Product manager.

1mo

Good morning in fact, data governance is one of the capabilities of data management. In the same way as data quality which is not a subset of data governance, even if the two are linked. On the other hand, taxonomies are one of the business elements found within metadata management, which is another capability in its own right. data owners or stewards are stakeholders who are transversal to all data management capabilities. So, I have the impression that things are a little mixed up in this illustration..

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Vishal Puri

Practice Head - VP, Data and AI Solutions Group, North America at Tiger Analytics

1mo

Charlotte Ledoux . I am a fan. You finally expanded Dilberts software world to include the Data world, And rightly so.. Someone I know, recently mentioned a classic definition of data catalog that is so true - A catalog is a mirage - when you get there you find nothing of use :)

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