Analytics Transformation – Why You Should Do It Now

Blog

 

Christophe De Greift explains why now is the time to plan your analytics transformation, why you should, and the first step to take.

Artificial intelligence is a relatively young discipline in companies and in constant evolution. However, the experience of pioneering companies in various sectors and continents confirms their high value generation when accompanied by a true transformation of the company. Those who have not yet internalized their analytical transformation plan should start now to be able to arrive on time, as I explain below.

Being analytical is increasingly necessary to stay competitive

Many important business decisions are better when supported by data. Neuroscience has recently confirmed what common sense has always allowed us to understand: man can be irrational, biased and even blind. The machine is not 100% reliable either; the key is to precisely define the role of man and machine for each decision, as explained in a previous article . In very repetitive problems such as forecasting the demand for mass consumer products in retail stores, the most advanced and successful companies limit human intervention to exceptional cases. In more sensitive problems such as medical diagnoses, the radiologist is assisted by artificial intelligence.

Across all sectors, the competitiveness gap between analytics pioneers and the others is growing, threatening the sustainability of the latter. Those who have succeeded in analytics redouble their efforts and investments to become even more analytical, creating the virtuous circle explained in a recent MIT and BCG article.

Being analytical requires a transformation at the people, organization, processes and technology level.

 

Key points include:

  • Data as an opportunity
  • Predictive maintenance
  • Planning

 

Read the full article, 3 reasons to plan your Analytics Transformation now, on christophedegreift.com.