Design Thinking for Data Driven Business
Design value adding analytics solutions from a user's perspective.
Design new business models and check the viability of business cases.
Optimize your customer journey to attract more customers, increase revenue, increase their loyalty and get more recommendations.
Unleash the full potential of your data sources and discover new data providers.
Increase data quality as well as data availability and ensure data privacy as well as data security.
Turn your data into corporate assets and increase your company's productivity.
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Plan your data strategy projects and document the current state.
Identify new growth markets and tap the full potential of new technologies.
Stay focused on the relevant and important tasks, projects and ideas.
Find the right way for your company to make your vision come true.
or to add feedback.
During a conference a couple of years ago, I was lucky enough to see Martin Szugat talk through an example workshop using the first canvasses in this series. I've used them ever since and I'm pleased to see that the original set has been expanded. I've found them useful for building consensus with peers, showing execs we have business focussed rigour, and for reflection on strategy, communication and value. If you are working towards data as an asset or trying to monetise data (by using or complementing your own data sets) you will find these canvasses useful. Try mapping some of your existing products or services and see what happens when you corrupt/delete/loose/screw up the source data sets; you might be able to start putting a value on the data you have and get better traction on your future data initiatives.
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