Data Landscape Canvas

By using the Data Landscape Canvas you explore new data sources and discover new data suppliers. It helps you to assess your company data and to identify the proper data sources for your utilization scenarios.

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What Is the Data Landscape Canvas?

The Data Landscape Canvas complements the Data Strategy Canvas and delves into the question of data supply by classifying data sources according to their origin:

  1. Owned Data: which data is available to us which have been created or recorded by us?
  2. Earned Data: which data do we receive from our customers and partners?
  3. Paid Data: which data can we buy from third parties (Third-Party-Data, Data Marketplaces) or trade in for our own data (Data Exchange)?
  4. Public Data: which data is publicly available (Open Data)?

Furthermore the Data Landscape Canvas differentiates between different kinds of data:

  • Raw Data is data in its original form (for example measurement data).
  • Derived Data has already been refined to some extend for example by cleansing or anonymizing it.
  • Link Data allows to bring data from different sources in relation to each other.
We drive your business forward.

We drive your business forward.
We drive your business forward.

Where Can I Find More Information?

The presentation referred to beside introduces you to the Data Strategy Design method and Analytics Maturity Canvas by means of an example project.

Here you can find further documentation:

Explore your Data Landscape (Blog)
With Design Thinking towards a Data-Driven Marketing (SlideShare)
Data Thinker Group (LinkedIn)

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How Can I Start?


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Get to know our Data Strategy Design Method in our practical seminars:

Cross References

Canvas Übersicht

Here you can find further canvas and information concerning Data Strategy Design:

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