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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

Research confirms: development of exploration in parallel to exploitation capabilities proves to be mandatory for established companies in order to compete successfully and sustainably. One way for established organizations to strengthen exploration is by developing internal capabilities in order to overcome their inherent inertia.

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Sorting through our Innovation Management Tools

Paul Hobcraft

Shared language : tools align teams around a visual concept, making complex ideas clearer with an image. Get the facts : Every tool has strengths and weaknesses. Our research shows, for example, that major efforts achieve significantly better satisfaction scores than limited ones. Big Data for instance scores a 4.22

Tools 100
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The Importance and Benefits of Ensuring Data Quality

Acuvate

And if these decisions are driven by poor data practices, then it causes more harm than good. Case in point: 84% of CEOs have conveyed concern over the lack of trust in the quality of the data while making decisions. Ensuring high data quality leads to better customer engagement and experience, which is a business imperative.

Data 72
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Big Data in Open Innovation

Yet2

Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. To help make this intangible concept feel a little more real, below we share just 3 examples of how we at yet2 leverage Big Data in our scouting: Starting with unique, quality datasets: avoid “garbage in, garbage out.”

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What do most innovative companies have in common?

hackerearth

They link innovation to their well-defined business objectives by establishing and maintaining dedicated innovation teams. Innovative companies provide the right platform for their employees to share and discuss ideas and have dedicated teams to turn them into prototypes and test the prototypes resulting from those ideas.

Company 77
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A better way: combining Business Intelligence with Design Thinking

mjvinnovation

Big Data: data analysis is what really matters. The available data is not only useful for outlining a consumer profile on the internet. In the movie Moneyball, for example, a coach facing the challenge of running a low-budget baseball team decides to employ data analysis to improve the performance of his players.

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A better way: combining Design Thinking and Business Intelligence

mjvinnovation

Big Data: data analysis is what really matters. The available data is not only useful for outlining a consumer profile on the internet. In the movie Moneyball, for example, a coach facing the challenge of running a low-budget baseball team decides to employ data analysis to improve the performance of his players.