Data processing

The true value of data is not in capturing and storing it. It lies in the analysis and understanding of data that is key to a company's business. Meet the solutions that can help you do that.

Data processing

What do to with data and how is becoming an increasingly pressing question for any company. Many are implementing data management policies to define which data needs to be retained and analysed and in what way and which needs to be rejected. Other are looking for solutions what to do with the analysed data or wonder what can be achieved by applying the correct interpretation and solutions.

The true value of data is not in capturing and storing it. It lies in the analysis and understanding of data that is key to the company’s business. As we develop data processing solutions, we and our partners are finding answers to how, where and when do you unlock the true value of data.



Databases are every company’s asset. Good business decisions can only be made based on quality information extracted from data.

Relational databases

We need an effective way for managing the constantly growing volume of data. Database management systems, specifically relational databases, make this possible. Relational databases are the foundation of modern IT systems that support our customers’ operations. There are solutions available that include predesigned and optimized database systems (e.g. SAP HANA, Oracle Exadata). However, for most systems the right database needs to be selected. By making the right decision, we can realize competitive advantage in addition to the best technology for supporting our business processes.

Non-relational databases?

Traditional databases are no longer the ideal solution for every scenario. Information that can help you optimize your business is no longer hidden just in the fields of a relational database. Instead, they are distributed across the internet and are available as unstructured records that include video, images, different document formats, Facebook posts, tweets, etc. If you want to extract information from new forms of data, you need new tools to analyse and store data. Object databases (NoSQL) make this possible.

Adapting to data

Non-relational databases enable you to adapt to new data and simply extend your data schemas.

Tools for smart analysis

Data analysis tools already use an SQL interface, so you can utilize your existing knowledge.

Integration with relational databases

Object and relational worlds are tightly integrated, which results in high data entropy and higher quality information.

Simplified infrastructure

Object databases came from the open source world and do not require the complex infrastructure demanded by traditional relational databases.

Internet of Things (IoT)

Devices can support out daily business decisions.

By using IoT technologies, companies can generate enormous volumes of data. Although all this information was inaccessible until recently, they now provide additional insight into the workings of business processes. The provide the ability to optimize processes using advanced algorithms and artificial intelligence. These massive amounts of data need to be properly stored and analysed with big data processing tools to be understood and used.

Standard communication protocol

Standard communication protocol enables us to quickly connect to devices by different manufacturers.


Formerly “silent” devices can communicate once you deploy IoT and can provide valuable information.

Data storage

Supporting technologies enable us to store and process different types of data.

Learning from data

Advanced algorithms combined with artificial intelligence utilize IoT device data to improve business processes.


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