The term data ecosystem mapping is at home in the areas of big data and smart data, digital transformation as well as sustainability and environment 4.0.
Data ecosystem mapping means that all participants, data sources and interactions within a data ecosystem are visualised and documented. A data ecosystem comprises various stakeholders such as companies, organisations, platforms and users that collect, share, use or process data. Data ecosystem mapping creates a "map" of these players and processes. This makes it easier to recognise connections, data flows and potential risks.
An illustrative example: In one city, transport authorities, energy suppliers and weather services are working together to make mobility more sustainable. The data ecosystem mapping shows how transport data from local public transport, weather data and energy consumption data are linked together. This enables the city to better coordinate measures and reduce local emissions in a targeted manner.
Data ecosystem mapping therefore helps companies and public institutions to gain an overview of their data landscape, recognise correlations and improve data-based decisions in the long term.
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