"Prediction is very difficult, especially if it's about the future" - Niels Bohr and Others

 

(6-8 MIN READ)

Since predicting the future is not that easy, let’s get started with a statement about the present: We live in the age of information.

Everybody – including planners and business leaders for the case in point – have access to a great volume of information and content on how to better plan the demand and increase the accuracy of the demand forecast. And I am sure that you, reading this, already have read a lot about it.

So, why another blog yet mounting on the existing pages that already cover demand planning? Because “prediction is very difficult, especially if it's about the future”. And predicting the demand is not only difficult, but pivotal for now-a-days demand driven organisations. The demand forecast ripples through the organisation and has major impact in Inventory Planning, Revenue Estimates, Budgets… and this relevance is what pushes heads of supply chain and other decision makers to find new ways to improve their predictions.

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The answer, of course, is “yes”. OK, you are right: it is rather easy to cut down inventory cost!

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(6 minute read)

Extract, Load and Transform to get a Single Version of the Truth

Today, most companies find themselves swamped by data and they often struggle to find a comprehensive, solid and reliable set of data that they can trust, and they can use for data-driven decision making.

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There is only one way to go: Forward.

The world is constantly changing, things that we could barely imagine a few years ago have now become part of our daily routines.  We take for granted how we use our smartphones, the cloud, and electric cars and many other technological breakthroughs.   For example, 10 years ago it would have been hard to believe for some sceptics, that a smartphone could provide enough computing power to run their spreadsheets or provide a wireless connection fast enough to watch video streaming.

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