Predictive Data Analysis
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Data Analysis

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Predictive data analysis works with all kinds of data. Use operational data, consumer data, sensor data (IoT) and performance data to optimize your business processes and conversion.

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Optimize your business

Whether you are trying to reduce cost by optimizing processes or increase revenue by optimizing conversions and marketing effectiveness. You need a productive way to leverage your existing data. 

Growing your business means being better, moving faster, being more efficient, lowering cost and finding new customers. At the same time, all the things you are already doing generate large amounts of data. Your challenge is to bring all this data together and put it to operational use. But, as you have probably already found out, the road to a mature data environment that provides on-demand actionable insights is long and full of obstacles. We help organizations like yours by building and maintaining their data platforms quickly, so they can concentrate on business. 

Better football

Working with The Future, the football academy of well-known football club AFC Ajax, we built a predictive data model for injury prevention. 

The system collects data from all sorts of measuring equipment, such as location tracking, visual recognition systems, physiological data, medical data as well as speed and tactical data. A thorough analysis by data scientists resulted in a model with intricate knowledge of the physical condition of players. To prevent injuries, the system can, for example, predict proper training and match workloads for every player.

Unlock hidden value

Using your own data for predictive data analysis is quite a step beyond rolling out a chatbot or some other form of language or image recognition. Third-party systems can rely on large amounts of publicly available data to learn. When doing your own predictive analysis, you will rely on your own data. We can help you take the right steps towards full-blown predictive data analysis using machine learning.  

We create insights through transformation, cleansing and matching of data. This prepares your data for predictive machine learning applications. Further structuring, normalization and joining of data will reveal patterns and relations that can power your predictive data model. At the same time, we provide everything you need to protect your data. From network security to access management and from intrusion detection to disaster recovery.

Are you wondering whether all this data holds some sort of hidden value? This is probably the right time to start thinking about predictive analysis.