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Call me, maybe? 3 prerequisites to dial in into the world of data ecosystems

Data is the raw material of the 21st century. It’s key to solving the challenges of the manufacturing industry, i.e. achieving higher efficiency, better product quality, and more sustainable processes. On the organizational level, most companies have understood this fact and are working on unearthing and utilizing their own data treasure. However, to get the most out of your data and implement use cases for more complex challenges, you need to go beyond the individual level – and towards cross-company data-sharing and usage.

Call me, maybe? 3 prerequisites to dial in into the world of data ecosystems

Prerequisites

How can this be done? What do you need to exchange data with other organizations without giving up your data sovereignty, and without compromising on safety? And how do you even make sense of data from thousands of different sources? The answer is three-fold – and can most easily be explained using the example of trying to call someone you don’t know via a landline telephone.

1. The network

1. The network

First of all, you need a telephone network of phone lines and connections. The same is true for exchanging data in a digital ecosystem: above all, you need the respective data space with uniform standards for all its participants. Thankfully, several such ecosystems already exist for different industry branches – among them Catena-X for the automotive manufacturing industry.

2. The phone plug

2. The phone plug

How do you connect your phone to the network? You need a phone plug. In terms of data ecosystems, your connector will need to work as a system integrator, giving you the necessary interface to interact with the data space and other participants.

3. The phone book

3. The phone book

Once you’re connected to an existing phone network, you need to know who you’re trying to call – which means you need both the phone number and the name of the receiver. In other words: you need a phone book. In phone books and data spaces, storing data alongside its context information is crucial. After all, data is meaningless without semantics – just a number that no one knows to interpret correctly. Similarly, a list of phone numbers does not get you anywhere if you don’t know who they belong to. In our analogy, digital twins with aspects deliver the numbers along with their context information. The digital twins contain the necessary data, while aspects and aspect models define the semantics to make it meaningful. All these digital twins are then organized and managed in a scalable and decentral Digital Twin Registry – the phone book.

Real-life solutions

With the recent partnership of T-Systems and Bosch Connected Industry, users can receive both the phone plug and the phone book from a single source: T-Systems has integrated the Digital Twin Registry from our Bosch Semantic Stack portfolio into its “Data Intelligence Hub”. While the hub itself works as a system integrator and connector, the Digital Twin Registry fulfills the role of the phone book for storing and managing hundreds of millions of digital twins.

You want to learn more about both technologies and how they work together? In a recent talk at Bosch Connected World 2024, experts from Bosch Connected Industry and T-Systems explained how these solutions open the door towards data-driven success

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