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Building the innovation stack

Paul Hobcraft

These stacks follow an established logic, such as working through idea discovery, relating to given problems, exploring solutions, and determining the final model or design and the execution delivery to achieve this. We stack them and they interlink.

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Monitoring User Experience Through Product Usage Metrics

Boxes and Arrows

Product managers rely on metrics that require little effort to gather and report on to give them a sense of business health. For example, you may notice customers abandoning an eCommerce site on the shopping cart page—that may be because the cart page is poorly designed, or it may be due to the “sticker shock” of high product prices.

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A new value chain for next-generation mobility

Corporate Innovation

In my book, The Big Data Opportunity in Our Driverless Future , I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality. Automaker shift.

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To succeed, Optimise the one variable that matters

Rmukesh Gupta

In organisations, we compensate sales guys on sales made, product managers on product development, marketing folks on leads generated, manufacturing folks on operational efficiency. This was classically designed with local optimisation. In conclusion: It is easier to manage for local optimisation. There would be no chaos.

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To succeed, Optimise the one variable that matters

Rmukesh Gupta

In organisations, we compensate sales guys on sales made, product managers on product development, marketing folks on leads generated, manufacturing folks on operational efficiency. This was classically designed with local optimisation. In conclusion: It is easier to manage for local optimisation. There would be no chaos.

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Automakers Must Partner Around Big Data

Corporate Innovation

Ridesharing and carsharing companies represent the best initial candidates for such partnerships because these companies a) are collecting and utilizing consumer big data with the same attention and rigor as Apple, Google, Facebook, and Amazon and b) have already collected impressive data sets due to the scale they have achieved.

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Automakers Must Partner Around Big Data

Corporate Innovation

Ridesharing and carsharing companies represent the best initial candidates for such partnerships because these companies a) are collecting and utilizing consumer big data with the same attention and rigor as Apple, Google, Facebook, and Amazon and b) have already collected impressive data sets due to the scale they have achieved.