Is this Data Product Management?: Recent Episodes
joaoferreira84
As I navigate the world of Data and Product Management, talking about current and past experiences I ask myself if I am there yet? is this Data Product Management? Expect 5 to 10 minutes reflections on different topics
If you are product manager, or a business analyst that is involved in building software, digital transformations and the sorts, this might be helpful. If you are building data products or deliverying data projects this might be extra helpful.
Having said that even if you are not a PM or a BA this might still be good. If you are a koala just keep being cute, listening to my podcast might be relaxing but koalas don’t build software (sorry... )
In this episode, I shine a light on three groundbreaking AI products: ChatGPT, Tome, and Product Monkey. Dive into the world of ChatGPT, exploring its versatile language capabilities and real-world applications. Discover how Tome is revolutionizing knowledge management. Lastly, explore how Product Monkey is accelerating product development and innovation. Whether you're an AI enthusiast or just curious about the latest tech trends, this episode offers a concise look at the future of AI innovation.
You have just been given a product manager role for a data product! what are your next steps?
In part 2 of this two part episode, I talk about where you should be in month 1, 6 and after a year in the role, I dive into different product artefacts and finally delve into the most important the people.
disclaimer: had some sound issues recording this episode, be warned that the volume is a bit weird...
You have just been given a product manager role for a data product! what are your next steps? what should you know about ? what are the things that are the same and the things that you need to do differently?
no need to panic! In part 1 of this 2 part episode I talk about why being a Product manager for a data product is a good thing and how the skills you have from regular products will still apply.
Been teasing about the Data mesh for a while, so here it is an intro data mesh episode! I talk what are the core principles of the data mesh and also provide a little bit of context around how / why it came about.
all of this under 10 mins!
I re-visit the steps in part 1, but this time I talk about the main challenges when building data analytics platforms
In this episode, I walk you through the end to end implementation for a data analytics platform. Using a low tech solution to make it super easy to explain what each step is all about.
Excel a great tool or something that will stop you from achieving your goals? find out what I think about Excel and when you should use it (spoiler, its with care).
This is a long one, I talk about the difference between data projects and data products and what it means to apply product thinking on your projects! rounding it off with the reasons why you do need a product manager in a data project!
This time around I talk about my preference in regarding agile methodologies when working in data products / projects. I reflect in the 2 most popular ones Scrum and Kanban let you know which one is better in my opinion.
In this episode I talk about what are data products and what is data as a product, throwing in some bonus info on how they relate to a data mesh too.
In this episode I am exploring the "Get all the data" requirement that happens often in data projects. I'll talk about where it comes from, and what you should do with it.
Quick intro of myself and the format that the podcast will have as well as introducing the first 3 episodes