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Big Data in Open Innovation

Yet2

Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. To help make this intangible concept feel a little more real, below we share just 3 examples of how we at yet2 leverage Big Data in our scouting: Starting with unique, quality datasets: avoid “garbage in, garbage out.”

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Infoxication: Why Big Data is the solution

mjvinnovation

It was the Spaniard Alfons Cornella, a technology expert and best-selling author, who gave rise to the concept there by the early 2000s. Here, let’s reflect on Infoxication at the business level, which has to do with the concept of Big Data, as we will see throughout this article. As you saw, the problem is a given.

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Tech Disruptor – The Process Mining Unicorn Celonis

ITONICS

Imagine losing hours of productivity each day due to unnecessary steps in business processes. Europe’s newest tech unicorn – Celonis has developed a process mining solution to address those issues. The startup was founded in 2011 and soon became one of Germany’s fastest-growing tech firms headquartered in Munich, Germany.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

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The Challenges being Faced by Innovation Consultants

Paul Hobcraft

From my perspective I’ve been looking at a real challenge today, that many consultants offering innovation services are not providing real sustaining consulting value to clients, only ad-hoc services. In many ways, the consulting industry specializing in innovation is its own worst enemy.

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A Quick Guide to Data Estate Modernization with Azure Synapse Analytics

Acuvate

Traditionally, unstructured and scattered data sources led to incomplete data and increased costs due to poor decision-making. However, we now reside in an era where every business app and platform that an organization uses must be intelligent, agile, adaptable, and flexible to real-time data modeling. Cost-effectiveness.

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Technology leads, innovation exploitation is lagging

Paul Hobcraft

I recall reading that up to now, each digital technology change was a separate era of change, to absorb and adapt towards, yet today we are facing something seemingly different, a collision, a whole mash-up of disparate technologies and systems, that seem to be heading for such an explosion of change, a post-digital transformation.