beeBlum does not improve your data, beeBlum helps you to use it purposefully

If a Christmas goose would analyze all the data available to it, the amount of food available to it, the regularity with which it is fed, etc., it would probably come to the conclusion that humans are very well-meaning to it. Just before Christmas, all the forecasts about her future would probably be extremely rosy - and yet we suspect she will soon revise her beliefs... What the goose lacked was not better data, but the right context


Predictions are difficult, especially when they are about the future. Mark Twain

Computers are pretty good at finding patterns, especially when it comes to huge amounts of data. If one assumes that the conditions under which such patterns were created do not change, there is a high probability that they will continue to exist in the future. This is the assumption that more or less underlies all prediction systems in use today. However, if an unexpected event occurs, all predictions are worthless, because they are based on historical data only. 

Important decisions cannot be made on data alone. They also depend on intangible factors such as trust or enthusiasm, but above all on human experience and the ability to understand complex relationships.  

The comprehensive understanding of the interrelationships of cause and effect of the world we live in cannot be replaced by machines in the foreseeable future. For this reason, any call for exclusively data-driven decisions is a bit like looking for the key just by looking under the light of a street lantern with your eyes closed.

O-Data comes from enterprise applications such as sales, finance, logistics and HR systems. It provides performance indicators such as inventory turnover rate, interrupted purchases, days sales outstanding on receivables or employee churn rates. X-Data, on the other hand, describes the human factor to O-Data: the beliefs, emotions and intentions that reveal why certain things happen and how they can be influenced. X-Data comes from sources such as customer feedback, net promoter score, product reviews, brand sentiment and employee motivation. 

Similar to the operational environment, the analytical environment can also differentiate between key figures and the more soft, human factors. While A-Data aims to answer the question of whether a problem exists, C-Data answers the question of why. Here, it is particularly important to look at situations from different perspectives and to place them in the right context. C-Data is mainly found in report comments, meeting minutes, email distribution lists and chat rooms today.

The 21st century will be all about optimising technologies and processes for people

In recent years we have become incredibly good at constructing the building blocks of decision models. We have generated more and more information from more and more data. We have prepared it beautifully in countless systems and made it accessible to more and more people. It is only in the application of this data that we have so far barely considered the human being. 

beeBlum puts the human being in the center of attention. We support the dynamic process of analysis and evaluation of information. We give predictive analytics a framework for modelling complex systems to support decision intelligence. 

This is an exciting time. On our way to a knowledge-based society, the next major challenge is how to deal with decisions effectively. Through better communication, collaboration and continuous improvement, beeBlum can help you to find better outcomes of complex issues in an incredible number of use cases

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