Remove 2014 Remove Industry Remove Software Development Remove Technical Review
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The characteristics of data-driven business model development and how to succeed

The BMI Lab Blog

Frankenberger has shown that the same patterns are often used in different industries. Furthermore, companies that have a dominant role in an industry and can collect a high volume of data are more likely to be successful with the Data as a Service business model. Development process of data-based business models (BMI Lab AG).

Data 52
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How Apple created two giants

Matthew Griffin

The two primary methodologies organisations, analysts and Wall Street use to measure profitability are the Internal Rate of Return (IRR) and Rate of Return on Net Assets (RONA) because by describing profitability as ratios it allows us to neutralise differences and compare the profitability between different industries. mgriffin_uk . +44

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How the current patent system actually hurts innovation (and how patent trolls are being fought)

Idea to Value

Originally, patents had a simple purpose: By filing a patent, an inventor or company showed how their new technology worked, in exchange for legal protection for the duration of the patent. Does this system still work? This is why some companies prefer to not patent some of their most valuable secrets, like Coca-Cola’s recipe.

System 100
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How to Run the Ultimate Corporate Hackathon

Qmarkets

He continues to describe the hackathon format as one of “decentralized, disintermediated, distributed computer programming [that] proves an industry standard for software development.”. While hackathons originally revolved around software coding, their usefulness has now extended well beyond this domain.

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How to Run the Ultimate Corporate Hackathon

Qmarkets

He continues to describe the hackathon format as one of “decentralized, disintermediated, distributed computer programming [that] proves an industry standard for software development.”. While hackathons originally revolved around software coding, their usefulness has now extended well beyond this domain.

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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.