Data Management in the IoT Environment

10/08/2020 MHPDeepDive

How can I create sustainable value from data?

A huge quantity of data is gushing out of web interfaces and smart devices or is being generated by sensors in machines and systems. In the IoT environment, these data can be used to make processes more effective, efficient and transparent in order to expand analog products with digital components and to achieve completely new business models. Many companies have recognized the value of their data and are working on concrete use cases. However, this is made difficult by cross-domain data requirements and the diverse data sources and formats.

Therefore there is real benefit only when the complexity of the (un)structured data is mastered. For this purpose, sophisticated technologies are required – as are, above all, organizationally and procedurally suitable foundations. For only by establishing company-wide, strategic guidelines to support the operational level is it possible to create long-term and scalable digital solutions. Companies that strive to achieve not only digital individual projects, but also a comprehensive digital transformation, should invest in sustainable data management.

In our MHPDeepDive "Data Management in the IoT Environment", we will describe the relevant fields of action for setting up sustainable data management – and how our procedure model can support you. We will show you how you can keep the complexity of the topic under control, and why sophisticated use case management helps to successfully orchestrate the diverse digital ideas in the company.

What awaits you in our MHPDeepDive:

  • You will learn what the successful interaction of the strategic and operational levels means for sustainable data use.
  • You will find out about the means for keeping the complexity of data management under control.
  • You will experience how the procedural model of MHP supports the transformation into a digital and data-driven IoT future.


Frank Eisenhauer
Associated Partner, Data & Technology, MHP

Dominik Graetz
Senior Consultant, Data & Technology, MHP


Beginn: 13:30 (CET)
Ende: 14:00 (CET)

Language: German