Using the data strategy design method you achieve your goals securely and you find the right way faster. Data strategy design helps you and your team to collaborate efficiently and effective to develop unique as well as the most promising strategies for utilizing your enterprise data.
To holistically advise its clients regarding individual data strategies, Datentreiber has developed its own strategy method which has been used, proven successful as well as continuously refined in numerous client projects: the data strategy design method is based on Design Thinking. It extends the original method’s user-centric and value-oriented mindset with Data Thinking, a perspective which is, coming from the users’ needs and available enterprise data, identifying, concretizing and evaluating data-driven solutions and business models. The Datentreiber method provides a collection of free to use tools – the Data Strategy Designkit – as well as a library representing typical design patterns – the Data Strategy Designguide.
A data strategy consists of three essential parts:
The data strategy is aiming at a transformation of the company towards data-driven business models and processes in order to get a leading position in the digital race.
Working on a data strategy requires an interdisciplinary team of experts. This means for example experts coming from the marketing or production department, IT specialists, data analysts or data scientists as well as further people which are for instance working as managing director or in the legal department in their day to day job. Datentreiber has developed the Data Strategy Designkit to efficiently structure this process: it consists of a collection of visual collaboration tools (called “canvas”) which are used to jointly work on a data strategy in a creative and interactive way. The tools are available for free based on a Creative Commons License. They can be used as (printed) poster as well as digitally.
The Datentreiber Designkit consists of various canvas posters. Data strategy designers can use these as an ensemble or one by one to clarify different questions related to a data strategy within their team. Because of their structure, the canvas help to raise the critical questions and to find the right answers. The canvas are divided into three areas:
As a generic tool for prioritization, the Priority Matrix is available as a canvas, as well as the 3 Boxes Canvas as a generic tool for categorization. Another tool is the Generative AI Canvas for the development of innovative application ideas of Generative AI. For root cause analysis of problems, the Cause and Effect Canvas is available. An overview of all canvases and a representation of the connections between the canvases is provided by the Data Strategy Design Kit Canvas, and the Data Strategy Design Guide Canvas is suitable for planning and visualizing workshops.
Here you can download all 18 canvas
Companies can use the Datentreiber canvas in different combinations and ways depending on the company’s specific situation and objectives. Datentreiber has developed design patterns for typical starting points or areas of applications. These design patterns are summarized and classified in the Data Strategy Designguide. The following picture shows an exemplary template process for a data driven marketing strategy:
All beginnings are…easy. To keep this promise we are offering various content regarding data strategy design:
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Wie das mit der von uns entwickelten Methode des Datenstrategie-Designs funktioniert, verrät Ihnen Martin Szugat im Fachartikel im iX-Magazin.
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