In the previous post we presented a few methods of data analysis, which are used to identify customer needs and preferences and allow us to predict their behavior. Such knowledge results in building better marketing and sales offers which meet specific customer expectations. In today's article we present further examples of Data Mining methods that can be applied in daily business operations.

The key asset of any company is its customers. Therefore, it is crucial to identify their needs and preferences as well as to know the factors affecting their behavior. The collected customer data allows predicting customer behavior and creating appropriate marketing offers, sales plans, and retention programs that match customers' needs.

On April 20, in the BIG Data Awards Gala, we received a prize in the BIG DATA Congress: Think Big CEE competition for Polish Innovation. The award in this category is given to outstanding Polish companies for introducing groundbreaking technologies and for having real impact on the shaping of the market.

This blog will focus on how to properly present a Data Mining project and give you some useful tips how to present information.

Data is everywhere. We generate data when using an ATM, browsing the Internet, calling our friends, buying shoes in our favourite e-shop or posting on Facebook. Companies collect this data en masse in order to make more informed business decisions

Internet of Things (IoT), along with Big Data, is the next hot topic that conquers the world by storm and is on the lips of not only the ICT industry, but also many other businesses. What is IoT, does it really deserve to be so popular, where is it going? Today we would like to take a closer look at IoT and try to answer these questions.