A Data-Sharing Hub for Deutsche Telekom
Deutsche Telekom’s Innovation Labs set out to unify how data was accessed and used across national companies. The portal bridges the gap between data scientists and business stakeholders, enabling faster insight and scalable knowledge sharing.
We designed a central platform for the Chief Data Office that helps teams discover datasets, track quality, and collaborate more efficiently.
Business managers lacked visibility into progress and value, so their dashboard leads with both: projects by department, country and potential value.
Result
The portal helped Deutsche Telekom cut friction across its data workflows – enabling faster discovery, better team alignment, and clearer business visibility. With an interface built to scale, the platform now supports cross-national collaboration and allows both scientists and business leads to act on data with greater confidence and speed.
Process
The starting point was complexity – fragmented systems, unclear dataset reliability, and slow communication between teams. Data scientists spent more time verifying sources than analyzing them, and business managers lacked visibility into project progress and value.
We ran interviews with researchers, managers, and local IT teams to map pain points and workflows. From this, we defined core needs: fast dataset discovery, clear quality signals, better collaboration tools, and access that worked across national entities.
Before, a data question passed through six people. After, managers and data scientists get answers from the portal directly.
Dashboards are tailored by role: a data scientist starts from their own projects and activity, a manager from the department view.
Explore answers the question data scientists used to ask around – where is the data set? – and how many times each project has already been put to use.
We designed a clean enterprise interface with tailored dashboards for different user types – from technical staff to leadership. Structured data views helped users see completion status and relevance at a glance, while built-in commenting and project tracking fostered transparency across teams.
Our design system followed modular patterns so features could scale, and we tested each iteration with real users. Insights from usability sessions helped fine-tune how data was surfaced, filtered, and acted upon.
The final product connected previously siloed teams and created a shared digital environment for Deutsche Telekom’s growing data network.
Each project page carries its goals, numbers and team, with comments underneath, to cut the slow back-and-forth between teams.
The Do screen is for hands-on work: a data scientist picks up a running sandbox or one of their projects without searching.