Monthly Archives: May 2020

Data Cleaning: Pitfalls and Solutions

As the interest in machine learning and artificial intelligence grows, companies regularly find themselves confronted with the dissatisfying quality of their data. This discovery is either made early-on with a structured approach, or a lot later, when poor data quality is identified as the root-cause of poorly performing models. In either case, the next step should be a methodical exploration of the available data, followed by a series of steps to remedy the identified issues. In this article, I will give you an overview of common data quality issues and [...]

By |2020-05-26T09:10:03+02:00May 26th, 2020|Blog|0 Comments

Early detection of supply chain bottlenecks due to Covid-19 with data analytics

Especially in the current crisis, it can be enormously important for companies to recognize supply chain bottlenecks early on in order to be able to act directly. The coronavirus crisis is putting the economy to the test. Increasingly, supply chain bottlenecks are occurring because suppliers may fail, and the prices for replacement deliveries are rising sharply. The question of how to maintain an overview and create transparency in procurement during uncertain supply situations is therefore of concern to many companies. In addition, the demands on data analytics are increasing, evaluations [...]

By |2020-07-28T07:48:08+02:00May 13th, 2020|Blog|1 Comment