BLOGDatanomics and strategy

The essence of strategy is making choices. Choices about scope, products, organisation or about the direction of the company for the future.  In the age of Datanomics, more and more choices are automated. Is it the end of strategy?

Let’s get back to where we started! The question is to decide on a positioning in the data value chain: which activities are key, which should be mastered internally, what to outsource? which partnerships to forge? « Strategy is the creation of a unique and valuable position, involving a different set of activities. The essence...

A few years ago, Porter wrote a very interesting article about how IoT (How smart, connected products are transforming competition). Of course, a lot of it has to do with data and make-or-buy decisions. In particular, are identified 10 strategic questions to solve in this new business environment, below are the 5 related to our...

Introducing a 3 posts series on make-or-buy decisions, let’s start with the key capabilities to master along the data value chain to secure performance improvement.

In a previous post, I listed 5 value creation mechanisms of data and analytics from a revenue perspective. Let’s now focus on the opportunities associated with cost reduction.

In this post, I sum up 5 value creation opportunities with data and analytics related to revenue.

In 2015, I wrote with my partner in crime Simon Chignard the first book dedicated to analyzing the value of data. The book is called Datanomics. Summer is always a good time to step back, so let’s do so.