Data Strategy

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Data Strategy

Data Strategy


Turn your data into corporate assets and increase your company's productivity.

A data strategy answers critical questions for a data-driven company:

  1. Sourcing: Which data sources are available and how do we use them?
  2. Refinement: How can we combine and prepare data to gain valuable insights?
  3. Utilization: How can we use the insights to reduce costs, increase sales, retain customers and develop new products and business models?
  4. Tools: Which software solutions, databases, technical infrastructure, etc. do we need?
  5. People: Which skills and experts do we need in the company?
  6. Partners: Which partner companies are required?

For more information, see Data Strategy Design.

By the way, you can order a print version (DIN A0) from Stattys.

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On our website you will find a step by step tutorial.

Creator / Author



We drive your business forward.

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Creative Commons Attribution - Share Alike 4.0 International license

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How may I use this canvas?

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Copy-paste the HTML code to your website. This will embed the document as an interactive player similar to how YouTube videos are embedded everywhere on the web.

TIP: You can change the width and height attributes to best fit the website in which the document will be embedded.

Related canvases


English - Data Strategy

German - Datenstrategie

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Canvas Generation is an open library for canvas creators, enthusiasts and developers. We are not a productivity tool where you can use this tool. It is our mission to make the canvas library accessible to anybody for integration in their apps. Don't reinvent the wheel. Just use our free and open Canvas API. Our way of giving back :).

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Data Strategy

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