In 2019, a European telco provider consumed an amount of electricity equivalent to about 250k households. This makes it one of the largest consumers of electricity in Europe. How can this telco provider get in control of predicting energy consumption, and using these predictions to prioritize rationalization initiatives? AI helped solve the problem – learn how in this case study!

We interviewed Sandra Oudshoff and Jasper van Panhuis of the Heineken company. Sandra is a senior consultant for the Global Center of Excellence for Advanced Analytics and Jasper works as a management reporting manager.

Our 8-year long collaboration with Bol.com continues in 2021 with focus on upskilling business analysts. The program will prepare business analysts to identify, validate and communicate opportunities for analytics & AI solutions. By the end of the year 533 people from Bol.com will have been trained by GAIn. Read about how the company took on the challenge to start building data-driven business teams. This case study is from 2015 and was first published on MIcompany.nl.

Aegon started building its data analytics capabilities back in 2013, when they set up the Aegon Analytical Academy together with the training school of MIcompany, now called GAIn. Today, 8 years after its launch, the academy is still running and has upskilled more than 80 employees in AI & data across the company in 11 countries. Have a look back on how and why Aegon started this important initiative to educate its people. This case study is from 2015 and was first published on MIcompany.nl.

As part of the 3-year program of the Aegon Analytical Academy, participants complete two exchange projects of 3 months at another Aegon Unit, in many cases abroad. In Paula Genovés’ case, she went to Budapest to work on a churn prediction project, putting all her new skills and learnings into practice. Read on to learn about her experience building a model that could save the company more than €1,000,000.00 a year!

This week we hosted a training in one of our most promising new topics: Bayesian Networks – a method which shows how different variables together cause an event to occur. The strengths of the method lie in the fact that it can estimate and show the dependencies between all variables in the model and that prior field knowledge by the research team can be formally included in the model.

Heineken chose to shift its Analytics Translator Training Program to an online version with the Virtual Training Method of GAIn®. This training method – consisting of a virtual classroom with break out rooms and individual assignments – made it possible for Heineken to continue with their learning plan despite COVID-19.