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Data Sharing 101: a guide to data exchange, brokerages, trading platforms and services

  • data
  • hub
  • sharing
  • exchange
  • trading
  • clearing house
  • marketplace
  • Matt Hatton
The last 5 years have seen the very gradual emergence of the infrastructure and frameworks for organisations to handle the exchange of complex, critical, valuable or near-real-time data within and between organisations. We define this category of activity under the umbrella of ‘Data Sharing’.

The last 5 years have seen the very gradual emergence of the infrastructure and frameworks for organisations to handle the exchange of complex, critical, valuable or near-real-time data within and between organisations. We define this category of activity under the umbrella of ‘Data Sharing’. It includes data storage, analysis, exchange, validation, rating, and trading.

This is not exactly a new concept, with organisations such as SABRE having done this for years, and technologies such as Electronic Data Interchange (EDI) having be designed for this purpose. However, with the growth in new, more complex data sources and the increasing reliance of organisations on sharing critical data to support key processes, Data Sharing has emerged as a crucial ICT category in its own right. In particular, the addition of IoT data adds new real-time diverse data into the mix, necessitating a new approach to how that data is exchanged.

This Technology Insight Report provides an overview of Data Sharing technologies. It describes the overall market dynamics, including market size and development trajectory, use cases, best practices, and recent market developments. The report explores the vendor landscape for Data Sharing, innovative players, vendor selection criteria, and highlights opportunities and risks for end users.

The report also includes an analysis of the key solution characteristics of relevant case studies contained in Transforma Insights’ Best Practice & Vendor Selection database, including payback time, process efficiency and value proposition impact, and a range of technology-specific characteristics.

  • Amazon Web Services
  • Atos
  • Bristol is Open
  • BT
  • Chordant
  • Cisco
  • City Data Exchange
  • Deutsche Telekom
  • Dutch Data Sharing Coalition
  • Ericsson
  • Frauenhofer Institute
  • Google
  • Hitachi
  • Industrial Internet Consortium
  • InterDigital
  • International Data Spaces Association
  • John Deere
  • KPN
  • Microsoft
  • Monsanto
  • Open Blender
  • Oracle
  • Otonomo
  • PWC
  • SABRE
  • SAP
  • Snowflake
  • Terbine
  • ThyssenKrupp
  • T-Systems
  • Urbandata.exchange
  • Vokswagen
  • Data Sharing