My Top 3 Data Governance resources

#25 Or how to feed yourself

Hello 😀

The moments I nourish myself the most about Data Governance are when I talk with my customers for sure. But there are other resources I wanted to share…

Remote work in Madrid at some friends place, enjoying calm & sun.

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Let’s see what to read 👇

Agenda

1. Great writers are on Substack

2. My ultimate secret

3. Get a boost on GenAI

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Great writers are on Substack

Including me 😁

I discovered Substack last year and honestly it’s a place full of great content. And almost all content is free, unlike Medium.

Writers are here to write, not to shine. And that’s a big difference with other social networks.

These are the ones you should follow there :

Dylan Anderson

His signature is recognizable : the way he represents concepts with easy to understand schemes is truly unique. I can only imagine how long it takes him to write full posts at the frequency he does…

🏆 Top 2 you should read

1️⃣ Developing your Data Technology Strategy

In this post, Dylan shows that Data Technology Strategy is different than a Data Strategy. He digs into how to think about and develop a data technology strategy. He also gives a great framework (see below) to conduct a Technology Audit.

2️⃣ Standardizing KPIs

Many companies have a hard time creating a standard and unified framework for their KPIs. Dylan shares here a 4-steps process to do it, all by leveraging the crucial role of Data Governance. Loved it !

Benn Stancil

Do I need to present Benn? He is a notable figure in the data analytics industry.

He's been really influential in conversations about how companies build data teams, implement data tools, and develop data cultures. And that’s because he has a very personal way to express his opinions, based both on real experiences and specific readings on the topics he treat.

🏆 Top 1 you should read

1️⃣ Does Data Quality matter?

AI models aren’t fully undone by bad data, as Benn says, you can still :
• make a popular song on a messy catalog of songs,
• build a good immersive shopping experience on an incomplete event stream of customer behaviors.

But something about that feels wrong. During the current AI circus, businesses care more about AI models than they ever did about reporting.
That's why Data quality matters more now.

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My ultimate secret

I've found an unexpected goldmine on Reddit.

Beneath the memes and heated debates, specialized threads like r/datagovernance and r/dataengineering host candid conversations between practitioners facing real-world challenges.

As you can see, questions are asked with absolutely no filter ! They reveal what people actually look for, what they struggle with, etc.

It’s a great way to find answers to your questions - no bullshit :

It’s also great to get honest benchmarks on tools as there’s no advertisements / promotions available on Reddit.

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Get a boost on GenAI

I know a lot of people right now are wondering how they could use generative AI into their work. And it’s a good idea, it’s better to know these new tools than fear them !

💎 DataBird has crafted a 4 weeks training on Generative AI where you’ll learn to :

Demystify AI and make it your own :

• Understand AI in concrete terms

• Understand the central role played by data

• Discover the legal framework surrounding generative AI

• Develop your AI project management skills

• Adopt the right Prompt Engineering structure

Using AI to boost productivity :

• Apply the DataBird project methodology in a fictitious environment

• Carry out a variety of use cases to develop skills on GenAI

• Generate content using AI (text, images, video, slides, graphics, KPI calculations)

• Synthesize content with AI

• Interact with AI (self-training, brainstorming)

• Replicate these use cases in your professional and personal context

Replicate these use cases in your work and personal contexts :

• Apply these use cases in your own context

It’s the perfect training to upgrade your knowledge on the topic and use it fully !

And… there is no technical prerequisites required.

👉 Ready to master these tools to stand out in your professional activity?

See you soon,

Charlotte

I'm Charlotte Ledoux, freelance in Data & AI Governance.

You can follow me on Linkedin !