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" series: From 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 quality? link
4. Refining raw data for less bias, link
5. Data factories for data products, link
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
Events
- 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