When deciding to build a machine learning model, it makes sense to start by taking care of the quality of the data that will feed all these systems. Just how to do it? You'll find the answer to that question in the article below.

Data is the perfect fuel for effective marketing campaigns. However, if we don't take care of their quality, our actions will do more harm than good.

Have you ever wondered what features a customer information system must have to be called a 360 view? The answer to this question, in the latest article, is given by Łukasz Nienartowicz, our Head Of Business Intelligence.

Without proper preparation and trust in the data we have, we put the company at risk of making a mistake. You can read about how to avoid this in the article by Łukasz Nienartowicz, Head Of Business Intelligence at Britenet.

January is a great time to plan the goals we want to achieve. From a business perspective, we have a proposed goal that certainly won't lose its relevance by the end of the year: in 2021 we will do a data clean-up in our organisation.

Many games allow you to develop your main character. In the course of the game he gains experience, which allows him to advance to higher levels. Character building in the game reflects, in a way, the way we build our businesses.

For those new to data quality, we've put together five of the most popular myths associated with the field.

Without well-crafted data, it is impossible to build a customer-centric organisation. Constructing such a data foundation is costly and requires an awareness that the customer must be our focus.

Dark Data is a poorly known area, eluding both theorists and business practitioners. There is no single coherent definition to describe this phenomenon.

Only when we have properly prepared the data and gained real knowledge about our customers will investments in digitising processes pay off.

The most important thing for any organisation is its customers' data. After all, it is customers who decide whether or not they use our services or products.

If we look at an enterprise as a persistently working engine, the fuel that drives it is called data. In the era of Big Data, the ability to collect and use data gives us a competitive advantage.