The Data Strategy Designkit Canvas provides you with an overview of the Datentreiber Data Strategy Designkit tools. It also shows you the connections between the canvas templates and how they interact with each other. Using the Data Strategy Designkit Canvas you can plan your data strategy projects and document the current status.
The Data Strategy Designkit Canvas is a planning tool for data strategy projects. It provides with a structured overview of the Data Strategy Designkit’s tools by classifying them into three categories:
Furthermore the detailed view of the canvas shows how the canvas tools are linked with each other and provides support by demonstrating how the interaction of the canvas works.
The Data Strategy Designkit is a collection of visual collaboration tools supporting the design process of successful data strategies in interdisciplinary teams. The corresponding canvas provides you with an overview of the available tools. Use the canvas to:
For more information, see Data Strategy Design.
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The Data Strategy Design canvas provides you with an overview of the 12 tools (canvas) available for designing successful data strategies. It classifies the tools into three categories:
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Combined, the tools ensure that the three critical factors for innovations are met:
Furthermore the tools can be assigned to four main activities:
Like it’s true for physical tools: the designkit tools can be used for other tasks in a flexible way as well.
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First you need to make clear for yourself what you would like to achieve: to design a new data-driven product, to optimize your business processes in a data-driven way, to convert your company to a data-driven business model? Subsequently think about what you need to analyze, prioritize, conceptualize as well as to concretize and which tools are suitable for doing so. On top of that you need to put in some thoughts regarding what’s your actual starting point because this also defines your starting point on the Data Strategy Designkit canvas.
Based on this information you can draft a workflow on the canvas. This workflow defines which tool will be used for which task. Datentreiber is collecting typical patterns regarding this workflow in a Designguide. A common approach for a data-driven optimization of your business model is for example:
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According to the planned approach you place the red cards with the numbers 1 to n on or beside the respective tools (respectively their pictograms) on the Data Strategy Designkit canvas. Alternatively you can note down on the red cards what you want to achieve by working with this tool, for example “1. Focus on application area” or “4. Prioritize solutions”.
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You document the current state on the canvas during the data strategy project by replacing the red cards with green ones as soon as you have conducted the respective step. Again, note down the number, if necessary the purpose and in particular the last date in case there is more than one version existing. If you still work on one step use a yellow card instead. Should during the project the situation arise that you need to change the order of the steps, just adjust the plan accordingly and place new red cards onto the canvas. Use white notes to make notes of important findings, tasks to be done, open questions, critical assumptions etc..
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The canvas supports you by visualizing the connections between the tools and how information (cards, notes etc.) is passed from one tool to another one and the other way round. Accordingly you find respective arrows between two tools. These arrows are numbered and colored. They are located at the corners of the involved tools. Using the business model and data strategy as an example the graphical elements can be explained as follows:
Important: the Data Strategy Designkit canvas does only show a few of the many possible combinations. Depending on the purpose and situation, the tools can be arbitrarily combined and the information to focus, sort, generalize and specify transferred accordingly as well.
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The possible operations to transfer information from one canvas to another one are:
Here you can find further documentation:
Get to know our Data Strategy Design Method in our practical seminars:
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