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.
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BLOGDatanomics and strategy
A blog and a newsletter on competition and value creation with data and analytics.
Comments, examples, methodologies and research.
Comments, examples, methodologies and research.
How can incumbents react to aggressive competition from platforms? I propose here 3 strategic questions for them to solve to find a distinctive positionning.
There are many ways to describe the role data plays in platforms and I choose to focus on the way data increases the competitive edge of platforms in each of the 3 competition layers they are facing: other platforms, incumbents and complementors.
What role data plays in platforms? I share here the resources I used to understand better.
Data and analytics change the competitive landscape and new entrants aggressively challenge incumbents positions. What are the main features of this new competitive dynamic?
The goal of all strategies is to build a distinctive and valuable positioning. How can data and analytics contribute to that goal? I use here Netflix as an example.
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.
A huge dataset and a team of data scientists are not sufficient to seize value creation opportunities. I propose here a check-list for value creation.
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.
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