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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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Five reasons why few companies are data driven

Jeffrey Phillips

For years now, we've heard of the importance of becoming a "data driven" organization. Being data-driven, we are told, means making decisions not based on gut instinct or what managers believe is true, but based on evidence, on hard data. So, why is it that so many companies cannot make decisions based on their data?

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Taking an Open Innovation Approach to Big Data in Europe

IdeaConnection

Big data has a huge role to play in innovation. To make it easier for European startups and SMEs to take advantage of big data’s potential, a new European-funded open innovation project, led by Southampton University has been launched. It’s called Data Pitch. It’s called Data Pitch.

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Big data is dead – a throwback to Data Natives Conference

etventure

At the Data Natives Conference in Berlin for three days it was all about data, technologies and innovation: 4 stages, more than 100 speakers and around 1,600 visitors. In his speech “Big Data is dead” he explained how companies can generate real added value from their data. 5 Facts on Data Thinking.

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The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. In this post, I present how the incumbent OEMs can address this challenge. To do so, automakers must: Think strategically and own the big data strategy.

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The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. In this post, I present how the incumbent OEMs can address this challenge. To do so, automakers must: Think strategically and own the big data strategy.

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The evolution of product management trends

Sopheon

With over 30 years of experience, Mike Bauer is a product and strategy executive who has managed and overseen more than 100 products across data communication, enterprise software, connected products, the Internet of Things (IoT), marketing automation, embedded systems, and big data.

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