Most data strategies fail not because the technology is wrong, but because nobody sequenced the work. This deep-dive puts a five-phase framework on stage — the one published in the Springer book "Das datengetriebene Unternehmen" — and walks through it with the pitfalls that actually showed up in consulting mandates and inside FALKE.

From the first data audit to AI anchored in real business processes: how to assess where you stand, how to set up a data team that survives its first reorganisation, how to prioritise when every department claims urgency, and how to sequence a roadmap so that early wins fund the boring foundations.

This is the session for people who already agree that data matters and now need to build the thing. Expect frameworks you can redraw on a whiteboard on Monday, plus honest accounting of what took longer than planned.

Takeaways:
- The five phases of building a data organisation, and what "done" looks like in each
- Governance that people actually use instead of route around
- Team setup: which roles first, which to hire versus develop, which to outsource
- Prioritisation and roadmap sequencing when everything is urgent

Deep-dive, 60 minutes, plus optional 30-minute Q&A (works as a two-hour masterclass). Available in German and English. Target audience: management boards, C-level, data and IT leadership. Ideal for strategy offsites, executive retreats and C-level workshops. Based on the five-phase framework from the Springer book "Das datengetriebene Unternehmen". Content is adapted to the organisation's maturity level after a 20-minute briefing call. Also bookable as a full-day workshop format.