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A better way: combining Business Intelligence with Design Thinking

mjvinnovation

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters.

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A better way: combining Design Thinking and Business Intelligence

mjvinnovation

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters.

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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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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

This requires companies to proactively or reactively innovate their business models in order to remain competitive. The platform environment is mostly characterized by a tension between collboration and competition of the participating companies, often referred to as coopetition. Cases in point: Lego and Burberry.

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Creating Digital Entrepreneurs 

etventure

In the traditional KPI-driven environment, risk taking is simply a bad idea. Making a decision which results in failure can cost a leader their job – so taking risks is a big gamble. Give your employees the space to be innovative, and give them the opportunity to develop their entrepreneurial skills and mindset. Communicate!

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Algo Trading: how algorithms are impacting the financial market

mjvinnovation

You will also see why it is important to develop or adopt algorithms in your company. Moreover, since everything is done automatically by the computer, human error is virtually removed from the equation (assuming, of course, that the algorithm is developed / programmed correctly). It is also called data-driven management.