The Datentreiber Method: Data & AI Business Design
Using the Data & AI Business Design method you achieve your goals securely and you find the right way faster. Data & AI 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.
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What Is Data & AI Business Design?
To holistically advise its clients regarding individual data & AI 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 & AI Business 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 AI and data-driven solutions and business models. The Datentreiber method provides a collection of different canvas and workshop formats in the Data & AI Business Design Bench.
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What Is a Data & AI Strategy?
A data and AI strategy consists of three essential parts:
- Short-term: an overview of the company’s data landscape including the exploration of external data sources as well as the qualitative evaluation of the data.
- Mid-term: concrete use cases having a positive cost-benefit ratio as well as functional, technical and analytical concepts for an imminent implementation.
- Long-term: a roadmap for a gradual increase of the company’s analytical maturity by implementing further data-driven applications.
The data strategy is aiming at a transformation of the company towards AI and data-driven business models and processes in order to get a leading position in the digital race.
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What Are the Datentreiber Canvas?
The Datentreiber Designkit consists of various canvas posters. Data & AI strategy designers can use these as an ensemble or one by one to clarify different questions related to a data and AI 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:
Data
Data Landscape
Analyze
Analytic Maturity
Prioritize
Data Strategy
Conceptualize
Data Management
Concretize
Strategy
Value Chain
Analyze
Growth Horizons
Prioritize
Business Model / Case
Conceptualize
Strategy Pyramid
Concretize
Design
Stakeholder Analysis
Analyze
Value Curve
Prioritize
Analytics Use Case
Conceptualize
Customer Touchpoints
Concretize
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 21 canvas
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What Is the Datentreiber Data & AI Business Design Bench?
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 and workshop formats for typical starting points or areas of applications. These formats are summarized and classified in the Data & AI Business Design Bench. The following picture shows an exemplary template process for a data driven marketing strategy:
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What Is the Best Starting Point?
All beginnings are…easy. To keep this promise we are offering various content regarding Data & AI Business Design:
Datentreiber:
Social Media:
- Blog (Articles)
- SlideShare (Presentations)
- YouTube (Videos)
- LinkedIn (Group)
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