Most Popular Insights

Our thinking on data issues of management importance in refereed publications that go deeper than our short stories.

Dataspace = From Big Data to Better Data

Dataspace solves today's data and data analytics productivity problem. Dataspace ...

  • is a shift from Big Data (high cost) to Better Data (higher returns) - providing the right data with relevant information content and quality (think: food labels for ingredients and nutritional value), and all in the right quantity
  • is peer-to-peer data communications - not storage - and with data sovereignty protection so that you can exchange data and maintain control of the rights to your data at all times
  • is a just-in-time, on demand data supply chain of data products, like digital twins, to turbo-charge old apps or new super-apps based on cross-organizational or sectoral data chains

What is a dataspace: Dataspace Top 10 2-pager, link

Why important: Our C-level 1-pager: (a) 3 initiatives for strategy, (b) 3 steps for next quarter, link

(a) 3 initiatives for strategy: Schlueter Langdon, C., and C. Hort., 2022. How data sovereignty enables the next future of automotive – part 1. T-Systems White Paper (2022-04-15), link

(b) 3 steps for next quarter: Schlueter Langdon, C., and C. Hort. 2023. Winning with dataspaces like Catena-X: From Big Data to Better Data - part 2. T-Systems White Paper (2023-04-18), link

"Economics of Data" seriesFrom symptoms to root cause to first solutions and dataspaces

“Data is information's ore” (Peter Drucker 1992) and has to be extracted, refined, mined for any value to emerge: Our series starts bottom up to lay out the challenges systematically … from “data is broken” (story #1) … to why (story #2) … to first solutions including data factories for data products (story #5) to dataspaces – what’s a dataspace (story #6)?
Peter Drucker. 1992. Be Data Literate - Know What to Know. The Wall Street Journal (1992-12-03), link

1. Data is broken: The data productivity crisis, link
2. Data: How to measure it? link
3. Data: Quantity or qualitylink
4. Refining raw data for less bias, link
5. Data factories for data productslink
6. Dataspace, sovereignty, supermarket: An interview in IT Director, link

Dataspace applications

Industry & mobility (including Umati - Universal machine technology interface by VDW, the association of german machine tool factoriees)

Schlueter Langdon, C., and K. Schweichhart. 2022. Dataspaces: First Applications in Mobility and Industry. In: Otto, B. et al. (eds.). Dataspaces – Part IV Solutions & Applications. Springer Nature, Switzerland, link

Case study: RealLab Hamburg super-app: "Data Move People".

Dataspace core technology & interoperability

Drees, H., S. Pretzsch, B. Heinke, D. Wang, and C. Schlueter Langdon. 2022. Dataspace Mesh: Interoperability of Mobility Dataspaces. Technical Paper ID 280, 14th ITS Europe Congress, Toulouse, link

What is data sovereignty: Lauf, F., S. Scheider, J. Bartsch, P. Herrmann, M. Radic, M. Rebbert, A. T. Nemat, C. Schlueter Langdon, R. Konrad, A. Sunyaev, and S. Meister. 2022. Linking Data Sovereignty and Data Economy: Arising Areas of Tension. Best Paper Award at the 17th International Conference on Wirtschaftsinformatik (WI22), link

The world’s first dataspace: Drees, H., D. O. Kubitza, J. Lipp, S. Pretzsch, and C. Schlueter Langdon. 2021. Mobility Dataspace – First Implementation and Business Opportunities. Technical Paper ID 909, 27th ITS World Congress, Hamburg, link

Data as a product

Emerging data value chain: Schlueter Langdon, C., and R. Sikora. 2020. Creating a Data Factory for Data Products. In: Lang, K. R., J. J. Xu et al. (eds). Smart Business: Technology and Data Enabled Innovative Business Models and Practices. Springer Nature, Switzerland: 43-55, link

Data factory example: Sikora R., and C. Schlueter Langdon. 2019. Marketing to “Minorities”: Mitigating Class Imbalance Problems with Majority Voting Ensemble Learning. Frontiers of Marketing Data Science Journal (Fall): 27-33, link

Crosby, L., and C. Schlueter Langdon. 2019. Data as a Product to be Managed. Marketing News, American Marketing Association (October 10th), link


  • Bitkom Big Data & advanced analytics Frankfurt, (forthcoming)
  • Hannover Fair: Catena-X Dataspace goes live with Cofinity-X and beta phase, link
  • ITS World Congress Los Angeles: IDSA & Gaia-X goes USA, link
  • Market-X by Gaia-X Vienna: Launching GX clearing house services, link
  • Data Natives Berlin: Telekom, IBM and IDSA on stage, link

A selction from our R&D

  • NPM – National Platform Future of Mobility and Telekom, link
  • A human digital twin with data sovereignty: Say hello to "DaWID", link
  • T-Systems as pioneer: Implementing IDS, link
  • Data Natives Berlin: Telekom, IBM and IDSA on stage, link
  • Treat data like cars, link
  • Digital twin speeds it up – for example, a brake, link
  • Space race to the future neighborhood, link
  • Fleet capacity utilization with heatmap analytics, link
  • 3 steps: AI best practice from experts, link
  • 3 key learnings from data best practice, link
  • From IoT to internet of production: In 100 days, link
Chris S. Langdon
Chris S. Langdon

Business Lead, Data Analytics Executive and Scientist​

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