Data Management

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Data Management

Data Management


Increase data quality as well as data availability and ensure data privacy as well as data security.

Data management complements your data strategy by directing your attention to the following questions:

  1. What is required for data privacy?
  2. How do we ensure data security?
  3. How do we increase data quality?
  4. How do we enable a high level of data availability?

There is something like an area of conflict between the defensive topics of data privacy and data security, in contrast to the offensive topics like data quality and data availability:

  • If you improve data quality by for example buying additional data about your customers or by starting to capture these, you are potentially at risk to breach data privacy regulations.
  • If you maximize data availability by for example providing all of your employees with access to all data, you are potentially putting data security at risk because employees could pass sensible data to a third party.

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 Management

German - Datenmanagement

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How to use this canvas?

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 Management

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