dataspot. at TDWI Munich 2025

Tuesday, 24 June | 10:25–12:20
SAP data under control: business data, governance & data lineage
With Barbara Kainz and Peter Krammer, dataspot.

Participants learned how to get a handle on their SAP data through a business understanding and by linking technical data lineage with the business view. We explained how metadata could be used for successful SAP migration and for replacing BW systems in order to accelerate migrations and minimise errors. In addition, best practices for establishing effective data governance were presented to control and secure SAP data throughout its entire lifecycle.

Wednesday, 25 June | 10:30–12:10
Data domain map & business data modelling – the ‘real’ world in data
With Barbara Kainz and Erik Schütze, dataspot.

The workshop began with a key question: how can a company truly understand itself in terms of data? The starting point was a data domain map, which was then further developed into a business data model. Together with the specialist department, participants explored the method for creating a data map and immediately tested it in groups using practical examples. The focus then shifted to the procedure for building the business data model. In group work, participants developed their own models from the data domain maps and highlighted the tangible benefits.

Tuesday, 24 June | 4:15–5:00 p.m. 
Data Catalog: Creating transparency, activating knowledge, leveraging value

In this session, dataspot. and other leading tool providers demonstrated how modern data catalogues serve as central knowledge hubs. Through practical examples, they showed how catalogues capture data assets, document expertise and support self-service analytics – enabling teams to access information faster, ensure transparency and make better decisions.

Customer 360: Success through data management and GDPR compliance

Tuesday, 24 June | 11:35–12:20
With Antonia Strasser and Susan Hofleithner, Porsche Holding Salzburg

In this session, participants learned how customer data from group-wide sources could be bundled in compliance with GDPR to create a centralised 360-degree customer view for personalised communication. The speakers demonstrated why centralised data management, combined with clear governance and high data quality, was key to addressing this challenge. They also showed how governance and data protection could be embedded from the outset to enable risk-free personalised customer communication.

Efficient data management in hospital infrastructure

Wednesday, 25 June | 9:00–10:00
With Pascal Dietiker, Insel Group

Insel Gruppe AG, Switzerland’s largest hospital group with 72 buildings across five sites, advanced its digitalisation efforts in 2023 by transferring the new main building as a BIM project. To safeguard long-term data quality, the Real Estate and Operations Department began developing a uniform business data model, with the goal of establishing centralised metadata management using dataspot. by 2025.

Data catalog from SAP HANA DWH to AWS Data Lake

Wednesday, 25 June | 3:20–4:20 p.m.
With Maren Dahlheim and Max Bauer, BARMER

In this presentation, BARMER, one of Germany’s largest health insurance companies, demonstrated how it integrated the dataspot. data catalog as a central access point into its data world. By automatically integrating metadata from SAP HANA DWH and AWS Data Lake and creating a business data model, BARMER showed how transparency was increased, data understanding improved and information silos reduced – fostering a data-driven culture and more targeted data usage.

Data excellence at EWE: successes, hurdles and lessons learned

Wednesday, 25 June | 3:20–4:20 p.m.
With Henning Brink, EWE, and Pia Trunk, EWE Go

EWE set out to maximise the sustainable value of its data and, one year after launching the Data Excellence Initiative, reflected on its progress. The presentation highlighted successes achieved, challenges overcome and lessons learned, with insights into virtual data organisation, data stewardship and metadata management in corporate structures. A practical use case illustrated how the company advanced its transition towards a data-driven organisation.

stData Documentation as a Service – Establishing DX from within IT 

Wednesday, 25 June | 5:05–5:50 p.m. 
With Dawinder Singh and Mark Oliver Klipp, Mewa Textile Services

At MEWA, the IT&DT department addressed the challenge of empowering the business to take holistic data ownership in an environment with low data governance maturity. With the introduction of the ‘Data Documentation as a Service’ strategy, technical and business stakeholders were gradually integrated. A case study demonstrated how a top-down data strategy could successfully be implemented bottom-up.

Data governance in the City of Zurich

Thursday, 26 June | 9:00–9:45 a.m. 
With Livia Kurer and Gaudenz Sonder, City of Zurich

The city of Zurich pursued a combined top-down and bottom-up approach to strengthen its data strategy. Between the council’s mandate and implementation, extensive conceptual work and persuasion were needed to address challenges such as complex data structures and organisational development. Concrete use cases and success stories proved decisive as catalysts for success.

AI Excellence – Implementation of the AI Act in critical infrastructure

Thursday, 26 June | 3:10–3:55 p.m. 
With Pascal Plank, APG

In this presentation, APG demonstrated how companies in highly regulated critical infrastructure could efficiently implement the AI Act. By addressing technical, legal and organisational aspects, APG showed how compliance and innovation can go hand in hand. A stringent AI Excellence Framework provided the basis for a structured and sustainable approach to meeting regulatory requirements.

Data governance, BI & AI: Rethinking collaboration

Thursday, 26 June | 3:10–3:55 p.m.
With Kevin Koller, Porsche Informatik and Lena Worsch, Porsche Holding

The presentation addressed the challenge of BI and AI teams working with data from diverse sources without common standards or quality management. It showed how data governance created a comprehensive framework for efficiency and quality, and introduced a collaboration model that broke down silos, harmonised processes and established a group-wide approach to BI and AI.