The term data ecosystem mapping is at home in the fields of Big Data and Smart Data, Digital Transformation, and Sustainability and Industry 4.0. <\/p>\n
Data ecosystem mapping means that all participants, data sources, and interactions within a data ecosystem are made visible and documented. A data ecosystem includes various actors such as companies, organisations, platforms, and users who collect, share, use, or further process data. Data ecosystem mapping creates a \u201emap\u201c of these actors and processes, making connections, data flows, and potential risks easier to identify.<\/p>\n
A clear example: In a city, transport authorities, energy suppliers, and weather services work together to make mobility more sustainable. Data ecosystem mapping shows how transport data from public transport, weather data, and energy consumption data are interconnected. This enables the city to coordinate measures more effectively and to specifically reduce local emissions.<\/p>\n
Data ecosystem mapping therefore helps companies and public institutions to gain an overview of their data landscape, recognise interrelationships and sustainably improve data-driven decisions.<\/p>","protected":false},"excerpt":{"rendered":"