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Datamanagement

To make your company even more successful, we combine statistical models, machine learning and data mining.

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Efficient data management for companies

Data management is the systematic process of collecting, organizing, storing, maintaining and using data in companies and organizations. It plays a critical role in today’s data-driven world by ensuring that data is managed efficiently and made accessible for decision-making. By establishing a reliable, resilient data foundation, companies can explore the uses for data and implement meaningful processes for data maintenance, which in turn contributes to more effective process design or process optimization.

Efficiency: Data management can increase the efficiency of companies by improving data quality and analysis and optimizing processes. By automating tasks such as data entry and analysis, more efficient business processes can be created. In addition, better data management enables the use of collected data to be analyzed so that well-informed decisions can be made.

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Innovation capability: Data management can strengthen the innovation capability of companies through the application of statistical models, machine learning and data mining techniques for problem solving and prediction. It also enables the development of data strategies and innovative solutions in close collaboration with various stakeholders, leading to more effective use of data and the creation of new insights and connections.

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Wilfried Eichenauer

Teamleiter Big Data, Storage & Backup

Wilfried is our expert for all topics relating to data collection, backup and analysis. Feel free to contact him if you have any questions on this topic.

Wilfried Eichenauer