In deze blog deel ik mijn ervaring met het migreren van legacy-systemen naar een moderne datastack. Een moderne datastack Er zijn veel redenen om een moderne datastack te willen...
Is your organization still using Excel as its main tool to process and analyze business data? If so, it may be time for the next step towards a data-driven...
What is a Monte Carlo simulation and what can it be used for? A down to earth, step by step explanation.
How do you fit non-linear data with a linear model? Using splines is one option. A simple explanation.
The ARIMA Model In a previous blog post, we delved into the world of time series forecasting with the Holt-Winters (exponential smoothing) model. Today, we will explore another popular...
Introduction to Embeddings Embeddings play a crucial role in natural language processing (NLP) and text analysis. Simply put, word embeddings represent words or phrases as vectors, which are lists...
Time series data is a collection of data points recorded over time, that are used to analyze trends and patterns in a specific variable. This type of data is...
We often get the following question at The Information Lab: What strategy should I use to make my organization data-driven? Data-driven organizations are those that use...
Tableau, Power BI, Qlik Sense, visualizing data has never been easier or more widespread. Yet data visualizations are not exactly a modern invention. In fact, the ancient Egyptians...