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The characteristics of data-driven business model development and how to succeed

The BMI Lab Blog

The patterns and commonalities in data-driven business models Business models are rarely completely unique, and research by Prof. Frankenberger has shown that the same patterns are often used in different industries. Celonis is a process mining service that offers companies the ability to retrieve process queries based on big data.

Data 52
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7 Habits of Highly Innovative Companies

ITONICS

Even though it took 7 months for the founders to persuade Bosch leadership that their vision is doable, the startup developed a software with machine learning and analytics integrated within the networks of the retailer and the IoT application. Often, it’s due to the speed at which they can innovate and this has a lot to do with their size.

Company 57
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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

Accelerating dynamics and pace of disruption in most industries, in particular triggered by the pervasion of new technologies, lead to decreasing life times of existing business models. Enabled by the accelerating pace of digitalization, a new model for value creation is taking shape – spreading in almost any industry.

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A New Way of Thinking About the Automotive Industry

Qmarkets

Recent trends suggest that the automotive industry might be next on Silicon Valley's disruption list. Besides a surge of auto tech startups and Tesla's success, Silicon Valley's new affair with the automotive industry is heightened by chatter about a secret car project by the most prominent disruptor of them all: Apple. In the U.S.

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs.

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs.