Christophs public work began in the TM1 and IBM Planning Analytics community, but it has widened into a broader conversation about enterprise planning, data culture, artificial intelligence, and the history of decision-making systems. The strongest framing is:
Historian of Enterprise Decision Making
That phrase matters because it keeps the focus wider than one tool or one product generation. Christoph can speak from practical experience inside enterprise planning environments, but his stronger contribution is connecting that experience to recurring historical questions: how organizations model uncertainty, trust numbers, coordinate action, and decide what to do next.
Speaker Profile
Christoph combines four perspectives that usually appear separately:
- historical training in modern history, business administration, and political science
- more than fifteen years of practical work in TM1, IBM Planning Analytics, business intelligence, enterprise planning, and financial performance management
- more than ten years teaching controlling, FP&A, and IT management at university level
- a public record of podcasts, talks, and conference appearances on planning, analytics, data culture, AI, and organizational change
Speaking Themes
Christoph is a good fit for podcasts, panels, conference talks, and moderated conversations on:
- artificial intelligence in the office of finance
- data culture, finance processes, and organizational behavior
- the history of enterprise decision-making
- TM1, OLAP, and enterprise planning
- why planning systems often fail to change decisions
- what new decision technologies change, and what they leave untouched
- why old planning questions keep returning in new technical language
Featured English Appearances
For an English-language introduction to Christoph’s work, start here:
- 2021-10-26: BI or DIE, “TM1 in the Environment of Deutsche Bahn”; YouTube stream. An English conversation about TM1 and IBM Planning Analytics in a large enterprise context.
- 2023: Ask QueBIT About Analytics, “Episode 62: Taking Technology Fandom to the Next Level”. An English-language conversation about Christoph’s path from studying history to becoming the TM1 Fanboy, with examples from Deutsche Bahn and reflections on TM1’s unusual community of committed users.
- 2023-07-13: Super Data Show, YouTube Live appearance. An English-language conversation about the history of TM1, the place of OLAP in modern data practice, and why multidimensional databases still matter.
Selected German Appearances
On TM1 and Enterprise Planning
- 2021-05-10: IT@DB, “Business Intelligence @DB Systel: Einsatz von TM1 (IBM Planning Analytics) bei der Deutschen Bahn”. Planning Analytics and TM1 at Deutsche Bahn.
- 2021-07-27: BI or DIE, “Die Deutsche Bahn und TM1”; YouTube stream. Enterprise planning, TM1 practice, and organizational context.
- 2021-11-02: BI or DIE, “DB Konzerncontrolling mit Planning Analytics (TM1)”. Group controlling and Planning Analytics in the IBM Month context.
- 2023-12-07: IT@DB, “Business Intelligence bei der Deutschen Bahn: Update zum Einsatz von TM1 (IBM Planning Analytics) mit Christoph Hein”. Later reflections on Planning Analytics, TM1, and lessons learned.
- 2022-07-10: The Data Brothers, “Was zeichnet die TM1 Datenbank aus?”. A direct conversation about TM1, multidimensional databases, and planning.
- 2022-08-02: BI or DIE, “Mehrwert durch Visual Planning”. Planning interfaces and the value of visual planning.
- 2022-11-08: BI or DIE, “Tabelle vs. Visualisierung”. Visualization, tables, and the way planning information is presented.
- 2021: OLAPLINE, “Warum sich mit TM1 JEDER Business Case lösen lässt”. TM1 and business-case modeling in the OLAP community.
- 2022: OLAPLINE, “Visual Planning”. Visual planning and planning practice.
- 2023: OLAPLINE, “TM1 außerhalb der Finanzabteilung”. TM1 beyond the finance department.
Data Culture, and AI-Era Questions
These appearances widen the frame from enterprise planning toward data foundations, organizational change and AI
- 2022-10-22: BI or DIE, “Vom Historiker zum BI-ler am Weinberg”; YouTube version. Christoph’s path from history into BI and TM1.
- 2024: BI or DIE, “BI or DIE Data Jobs”. Specialization, career development, and niche technologies.
- 2024: BI or DIE Coffee Break x PwC, “Daten & Planung bei der Deutschen Bahn”. Planning, data culture, and enterprise analytics.
- 2023-03-16: Unf*ck Your Data, “Data Footwork oder warum die Grundlagen entscheidend sind”. Data foundations and the groundwork behind analytics.
- 2024-01-25: Unf*ck Your Data, “Data Footwork 2.0 – Datengrundlagen in Zeiten von AI und Algorithmen”. Data foundations in the AI era.
- 2024-10-03: Unf*ck Your Data, “Quereinstieg in die Data Welt”. Skills, career entry, and paths into data work.
- 2024-10-08: Gewinne Zukunft, “ESG-Ziele, Reporting und Datenstrategie vereinen – so macht es die Deutsche Bahn”. A public appearance on reporting, data strategy, and organizational accountability in the Deutsche Bahn context.
Transformation and Organizational Change
These conversations connect planning and analytics to the wider setting in which technology change happens.
- 2021-12-18: Gamechanger with Toygar Cinar, “Wie agile kann ein Konzern sein?”. Agility, future jobs, recruiting, and work inside large organizations.
- 2022-07-31: Gamechanger with Toygar Cinar, “Systematische Digitalisierung bei der Deutschen Bahn”. Digitalization in a large-enterprise context.
- 2022-06-03: Gamechanger with Toygar Cinar, “Durch ein gescheitertes Start-up zum Karriere-Erfolg”. Career development and lessons from startup experience.
- 2024-03-28: TwinSights, “So geht ein Großunternehmen den Weg in die Zukunft”. Data, transformation, sustainability, and the future of large organizations.
- 2023-01-26: Ja klaHR!, “Erbarmen – zu spät – der Hein kommt in den Ja klaHR! Podcast”. Career, leadership, and personal development.
Speaking Inquiries
The best invitations have real substance: a historical angle, a planning or data problem worth unpacking, or a serious question about how technology changes decision-making in organizations.
Good formats include:
- conference talks
- podcast interviews
- panels and moderated discussions
- community events
- finance and analytics forums
The fit is strongest when the conversation needs more than product commentary: practical credibility, historical depth, and a clear view of how decision technology evolves while organizational problems persist.
