T-Systems as pioneer: Implementing IDS

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Today, data sharing and data pools are a source of competitive advantage in digital business. German Federal Minister Altmaier recently advocated European data pools to ensure the competitiveness of companies in Europe, particularly small and medium-sized enterprises (link).

How to make a data pool safe and ensure data sovereignty?

IDSA is providing the blueprints with architecture to ensure that participants can share and pool data while maintaining data sovereignty. Deutsche Telekom’s IoT business is one of the pioneers offering a first implementation with its Telekom Data Intelligence Hub. It introduced an IDS-based Connector solution (see IDS RAM 3.0, link) for data sharing with governance controls at the 2019 Hanover Trade Fair.

The Data Intelligence Hub

The Data Intelligence Hub functions as a neutral data custodian with the highest security standards, and it can guarantee the respective data sovereignty through decentralized data storage. It is implementing IDS as a cloud-based service offering to reduce the cost and time of sharing data. With the platform-as-a-service design, the hub makes data pools accessible for small companies as well as cities, and even other service providers and consultancies that may lack the resources and cloud expertise of a large enterprise.

Data Intelligence Hub Graphic

Figure: First connector implementation of the Data Intelligence Hub based on the IDS Reference Architecture

Starting is easy!

Start implementing IDS yourself: First IDS implementations are critical so that potential users can stop talking and start doing, creating and testing first prototypes and solutions. The Telekom Data Intelligence Hub offers free test accounts with a few limited features. It also offers a “Data Sandbox” for experiments with data analytics. This sandbox is available on an invitation basis only, it is virtual, cloud-based and explicitly about prototyping: Think big, start small, fail early, scale fast. Test user’s data can be complemented and enriched with data from the Data Intelligence Hub – provided for free under certain circumstances. For example, it can assist with “people traffic data” with anonymized motion data, an expert on the analysis of traffic and movement streams based on anonymous signaling data from mobile communication networks.

This article is corresponding with a Post on the IDSA Blog: link


Chris S. Langdon
Chris S. Langdon

Business Lead, Data Analytics Executive, Catena-X Product Manager

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