Make any team or business data driven with this practical guide to overcoming common challenges and creating a data culture.
Businesses are increasingly focusing on their data and analytics strategy, but a data-driven culture grounded in evidence-based decision making can be difficult to achieve. Be Data Driven outlines a step-by-step roadmap to building a data-driven organization or team, beginning with deciding on outcomes and a strategy before moving onto investing in technology and upskilling where necessary.
This practical guide explains what it means to be a data-driven organization and explores which technologies are advancing data and analytics. Crucially, it also examines the most common challenges to becoming data driven, from a foundational skills gap to issues with leadership and strategy and the impact of organizational culture. With case studies of businesses who have successfully used data, Be Data Driven shows managers, leaders and data professionals how to address hurdles, encourage a data culture and become truly data driven.
The book feels like someone put it together with the help of ChatGPT. Almost like investopedia for data, with pages of definitions. There is a lot of writing about writing. “We will cover that in the chapter”� “in this chapter we’ll cover…�. Oh, and did you get that the author travels a lot?! Because he will repeat it every time he gets a chance and even more. And also make sure you know he was invited.
“Let’s look at example. Starbucks. Starbucks has data and can use it in marketing, targeting and so much more. All because of data� that’s a one page example in the book.
And I don’t get how you try to explain large numbers by using “it’s like 184 football fields�. Who the hell can imagine how 184 football fields look accurately?!
This was a book that’s hard to review. The thing is I generally thought the book made a lot of sense, but wasn’t sure who the book was for. Perhaps more senior leaders in organisations who are able to influence the overall data strategy, but these people don’t seem to be the folks who’d read a book like this (they’d probably do better hiring a consultant).
In the end I found myself agreeing with the author in most things and thinking that it all made sense, but also found myself going “so what�? There’s not much, at my “middle management� level, that I can do nor influence at the level the air by or writes at. It almost felt as if he was writing it to show off what he knew so that we would hire him in as a consultant (which to be fair this book does do quite a good job of).
Not giving it any stars because I don’t know how to rate this. I enjoyed the book, but this practical-in-theory book ended up a lot more just “theory� than I’d like.
I coach a lot of first time leaders and managers. 'Data-driven decision making' is a topic that often comes up in our sessions. This book gave me a great framework and step-by-step actions to help them engage with data in their business operations.
This book doesn't overwhelm you with all the tools and technologies needed to become a data scientist. It's ideal for a business owner or leader who wants to build 'data-driven decision making' into every layer of the organisation.
Another good book from Jordan Morrow! Who would have thought that in being data driven the main hurdle can be the organizations� culture ;-) it happend that it’s not only my observation that often organizations treat tools as a data strategy, whereas actually the strategy means so much more.
Again I will say that this is the book that should be commonly read by leaderships of companies.
Clear, concise way of looking at how to introduce a data mindset into your company. As well as who needs to take responsibility and skills needed and what needs to be introduced so company's ROI can improve along with skills upgrading and enabling workforce to move forward too.
Starts with "Merriam-Webster (2021) describes data..." and from there increasingly sounds more and more like a high school book report. This self-proclaimed "Godfather of data literacy" is a total grifter. Don't waste your time.