Data Analytics

Data Analytics

Dynamic markets require agile companies with efficient processes. Today a company's ability to compete is critically dependent on whether and how it uses available digital data. With data analytics this data can be systematically collected, processed, selected, and analyzed to support companies in improving their products and processes.

Day-after-day data is produced in many areas of our life: through use of charge cards, use of a navigation device, in production halls with automation technology, or when surfing on the Internet. Through the advancing digitalization more and more data arises – big data, a great treasure, which however frequently remains unused.

"Data is the new oil. It’s valuable, but if unrefined it cannot really be used.“, stated the British mathematician Clive Humby in 2006. With the aid of various analysis methods, hidden patterns, trends, and correlations can be identified in large quantities of data, and action steps can be derived from these patterns, trends, and correlations. This can affect the optimization of your processes, the improvement of products or the implementation of innovations.

In this regard BICCnet supports companies in dealing with the various data analysis methods and the benefits for their own business segment.

Sascha Stöppelkamp