❓Do you want to tackle your company’s or your client’s challenges with strategic thinking and data-driven solutions?

❓Do you want to plan a vision to transform the current business model and processes into a data-driven decisions?

The one-day workshop offers a quick introduction to the Design Thinking approach for data & AI strategies and data products. It focuses on mastering Datentreiber’s proven Data Strategy Design Method to enable data-driven decisions for your business including numerous real-world examples and practical exercises.

The aim of the workshop is to entitle you to design value-oriented and user-centric data & AI strategies, as well as data products.

Goals:

• Discover how to identify, evaluate, and prioritize data & AI use cases that align with your business goals and revenue expectations.
• Understand the critical factors for successful data & AI strategies and data products.
• Analyze the user needs and sketch solutions from the user’s perspective.

Intended Audiences:

• Data scientists and data analysts who want to successfully establish and drive data science in their organization.
• Professionals and managers who want to transform their company into a data-driven AI business.
• Project and product managers who are already developing analytical solutions and want to accelerate and focus the development.

Whether you are a data scientist, a data analyst, an entrepreneur, marketing manager or any other professional who wants to learn tools and methods to drive design thinking strategizing, this seminar is for you.

Agenda:

8:30 am            Registration

9:00 am            Welcome, Introduction and Agenda

9:15 am            Lecture I: Plan a data & AI strategy workshop with the Data Design Thinking Canvas.

10:30 am          Coffee break

11:00 pm          Practice I: Identify data & AI use cases with the Business Model Canvas and prioritize with the Analytical Maturity Canvas

12:30 pm          Lunch break

1:30 pm           Practice II: Concretize user needs with the Analytics Use Case Canvas and specify data & AI products with the Data Monetization Canvas

3:00 pm           Coffee break

3:30 pm           Practice III: Explore data sources, issues and gaps with the Data Landscape Canvas and define a roadmap for executing the data & AI strategy.

4:45 pm           Open feedback and Q&A session

5:00 pm           End of workshop

About the trainer: Martin Szugat

Martin Szugat is passionate about data-driven business models, design thinking, and artificial intelligence.

He enjoys sharing his knowledge among others as a lecturer at HWZ University, as Instructor for LinkedIn Learning, and his own company that offers data strategy workshops, consulting, and certifications.

With his strategy consultancy Datentreiber, Martin Szugat supports companies worldwide in their digital transformation to data-driven business models and processes. His clients include companies such as Schaeffler, Nestlé, Kühne+Nagel and Allianz.

Prior to Datentreiber, Martin Szugat was a partner and managing director of a social media marketing & analytics agency.

The bioinformatics graduate has researched machine learning and worked as a freelance specialist author and IT consultant.

Since 2014, he has served as program director for the Predictive Analytics World & Deep Learning World conferences in Germany.

Here an outlook to Datentreiber Data Strategy Design Method:

https://www.youtube.com/watch?v=U8EbR2gnl_o

Certification Testimonials

“I really enjoyed the Data Business training. Martin is very friendly and very competent. I especially liked the good mix of content and practical examples. It met my expectations, that’s why I  which is why I find the seminar recommendable and would like to advise taking a certification with him.”

– Irmen Rebai, Senior Manager Digital Transformation, EnBW Energie Baden-Württemberg AG

“Participating in the Data Thinking training at Datentreiber was a successful investment in my skills as a data scientist. With the help of the training, I can align my daily work and challenges even more closely with the business model, the users and the data landscape at Axel Springer. In addition, I have learned the tools to find new analytical use cases from a user perspective and to examine their business suitability.”

– Justin Neumann, Data Scientist, Axel Springer SE

“As a keynote speaker on the topic of Data Science, Martin Szugat was able to bring strong impulses into the organization with its proven Data Design Thinking framework. He has thus prominently highlighted the importance of data within the context of Roche’s digital transformation. Furthermore, Martin successfully supports us in developing an overarching data strategy at Roche Diagnostics GmbH through workshop moderation, positioning the company in a future-oriented manner. Martin will continue to accompany us on this transformational journey.”

– Nadja Schaefer, Digital Transformation Manager at Roche Diagnostics GmbH