Knowledge base

Introducing Cognos Analytics 11.1.0 - New Benefits & Features

IBM has recently released their newest version of their core BI software, Cognos Analytics 11.1.0. We've been able to give their demo environment a first test drive and are very keen to share with you our first impressions.

Mardi, 8 janvier 2019

OLTP - OnLine Transactional Processing

An OLTP database is typically normalized in 3th form with efficiency of storage and optimization of write operations or low-volume read operations in mind.

Jeudi, 27 décembre 2018

3AG Systems

Useful Link 3AG Systems

Mardi, 18 décembre 2018

Mastersindatascience.com (MIDS)

Useful link Mastersindatascience.com (MIDS)

Mardi, 18 décembre 2018

Data Estate

Data Estate reframes the notion that data is no longer a byproduct or just an accidental creation of business processes or the storage of information.

Jeudi, 13 décembre 2018

Cofinimmo optimized their budgeting process by implementing SAP BPC

Founded in 1983, Cofinimmo is today the largest listed property company in Belgium and a member of the BEL 20.

Mercredi, 12 décembre 2018

Predictive Maintenance based on Data Science with Microsoft BI and Azure

Sabcobel is a refrigeration company which provides cooling elements for both the retail and industrial sector.

Lundi, 10 décembre 2018

The war on analytics talent & BICC project backlog: can data estate automation be the solution?

The war on talent is affecting most industries, but none more than the IT field. It is increasingly difficult to find quality data professionals and to hold onto these talented individuals.

Lundi, 10 décembre 2018

Which version of Python should I use?

If you want to start a new software project today, you will likely be looking at Python for your codebase. It's easy to use and allows for quick development thanks to the many great third party libraries.

Mercredi, 5 décembre 2018

Standardization in case of real-time predictions

In machine learning, normalization/standardization involves feature scaling, where the features (variables) used for making predictions are scaled to the same range of values. The feature scaling process is applied in the data preprocessing step before applying any machine learning algorithm.

Vendredi, 9 novembre 2018