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Understanding the 5Vs of Big Data

Acuvate

In order to understand at what point ‘data’ transitions into being ‘big data’, and what its key elements are, it is imperative that we study the 5 Vs associated with it: Velocity, Volume, Value, Variety, and Veracity. What is Big Data. Big data volume defines the ‘amount’ of data that is produced.

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Journal Article: Big Data in Innovation Management

ITONICS

In this research project, ITONICS is actively involved in the development of an automated environmental scanning system for SMEs. Summary: Today, innovation management is an important instrument for companies to remain competitive and successful in rapidly changing markets.

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Journal Article: Big Data in Innovation Management

ITONICS

In this research project, ITONICS is actively involved in the development of an automated environmental scanning system for SMEs. Summary: Today, innovation management is an important instrument for companies to remain competitive and successful in rapidly changing markets.

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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

In part 1 of this post , Ralph revisited key innovation issues that were already addressed by us three years ago. It doesn’t always translate to managers, however. Co-Innovation and startup engagement. That means high integration costs – and another reason to be wary of new innovation.

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Barriers to innovation, the cause and effect.

Paul Hobcraft

.” I do think we need to restate the current barriers to innovation. These barriers do not ‘magically’ change by delivering what I believe moves us to a better system for innovation, that of an ecosystem and platform architecture. How far has innovation management and its capacities come?

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Sorting through our Innovation Management Tools

Paul Hobcraft

Adapt tools to your business system—not vice versa. If management can only engage in a limited effort, it may be best to avoid using some tools. Presently the highest rated tool is Big Data Analytics; more than half of surveyed executives say that Advanced Analytics are transforming their marketing strategy.

Tools 100
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Jumping to a fresh cycle of innovation design

Paul Hobcraft

I have argued in the past that innovation management needs to radically adjust and needs to be designed differently, it needs to be highly adaptive. We go and simply ‘grab them’ to fit the innovation we are working upon. We design the innovation system we need after we know what we are trying to achieve in the challenge or idea.

Design 232