For medium to large companies, implementing a robust data strategy is essential in today’s business landscape. Without one, there is a big risk of losing a competitive advantage. Inadequate resource utilization and a lesser understanding of customer needs compared to…
This paper presents a relatively simple machine learning model designed to forecast the likelihood of a U.S. recession within a six-month horizon, and its results suggest a low probability of an imminent economic downturn. None the less, a lot can…
In this blog we dive into one of the better known and most used data warehouse architectures in the world, also known as the Kimball architecture (or Kimball Lifecycle). Introduced in the late 1990s, but non-the-less still very relevant for…
What is the process of creating an ETL process and where does it stand for? Furthermore, what are the two most common frameworks used? This and more will be covered in today’s blog. ETL stands for Extract, Transform and Load.…
In this blog we shortly go over what data governance and data quality exactly is and why every company should embrace it. Data governance has a wide variety of definitions. If you look it up in a dictionary you will…
Data management and data warehouses are as old as the wide spread usage of the internet. However, in the recent past many new terms are coined such as data lakes and data lakehouses. But what is the use of all…