Design Thinking is a creative method in which interdisciplinary teams develop strategies or models. Canvas are used, which are covered with Post-Its. To arrive at a data strategy, the canvas of the data strategy designkit are suitable. These can be filled within a workshop in the company.

There are various starting points for developing a data strategy with canvas. It is possible to represent the current business model with the Business Model Canvas to understand the initial situation more precisely. If a data-driven application is to be specified for a business unit, the Analytics Use Case Canvas is suitable for understanding the requirements of the business unit. Various data-driven applications can be classified in the Analytics Maturity Canvas, which can reveal missing prerequisites. The Analytics Maturity Canvas can also be used to time the implementation of the use cases and develop a roadmap. The Data Landscape Canvas helps to uncover the available and missing data sources. With the Data Strategy Canvas, the date strategy can then be defined.

I participated in the Data Thinking training of Datentreiber, which gave an introduction to the use of the canvas of the data strategy designkit and to the design of a workshop for application in companies. During the training I interviewed Martin Szugat, the person behind data drivers.