Data Strategy Design

Why Data Strategy Design?

To use your data purposefully - be it in marketing, sales, service or for product and business model innovations:

  • Identify relevant use cases for your company data.
  • Evaluate the business potential of the use cases.
  • Explore your data landscape and discover new data sources.
  • Evaluate your data sources for exclusivity, availability and usage rights.
  • Define the necessary processes for refining the data.
  • Specify the required tools, people, and partnerships.
  • Identify potential errors early and define the critical assumptions.
  • Visualize and communicate your data strategy to your team, decision makers and investors.

What is Data Strategy Design?

Data Strategy Design is a simple and creative way to design a common data strategy in interdisciplinary teams. The visual collaboration tools (called "canvas") make the abstract tangible and draw attention to the critical questions of a successful data strategy. The data strategy design kit consists of the following canvas:

  • Data strategy: to identify, concretize and evaluate data driven use cases.
  • Data landscape: to explore your own data landscape, discover existing data assets, and explore new data sources.
  • Analytical maturity level: to determine the analytical maturity level of your own company or clients and to select the appropriate use cases and tools for increasing the degree of maturity.
  • Customer Touchpoints: to model the customer journey of your customers, to uncover breakages and gaps and to determine the relevant metrics.
  • Priority Matrix: to evaluate and select ideas according to different criteria, such as costs and benefits.
  • Strategy Pyramid: to work together as a team to develop a corporate vision and mission and to define milestones and guidelines.
  • Value Chain: to analyze and optimize business processes and to identify potential customers and products.
  • Growth Horizon: to evaluate and sort out innovative ideas in terms of their time horizon and business potential.
  • Stakeholder Analysis: to identify users, buyers, decision makers and other persons or roles that are relevant to a purchase or project decision.

How do I use the Data Strategy Design?

Start with the Business Model canvas, the Value Proposition canvas, or the Customer Touchpoints canvas to better understand your business model, your value proposition, and your customer journey, and to identify potential use cases for data-driven practices. Concretize the use cases with the Data Strategy canvas and use the Data Landscape canvas to find out what data is available to you. The Analytics Maturity canvas helps you to compare multiple use cases and to define a roadmap for their implementation.

Work in a team and bring together business management, e.g. marketing or sales department, IT and data analysts. Use the Stattys Notes for your ideas, using different colors, such as green for existing data sources, tools, etc., red for non-existent and yellow for those resources you're not sure about.

All canvas posters have tooltips printed to help fill the canvas.


More information can be found on Datentreiber.

Data Strategy
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