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9 Biggest Big Data Mistakes Every Company Should Avoid

Acuvate

9 Biggest Big Data Mistakes Every Company Should Avoid The success from Big Data and data analytics initiatives for a lot of traditional companies has been restricted to only small parts of their business. A huge impact through big data projects is something that not many have been able to achieve.

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Will big data solve the innovation gap?

Jeffrey Phillips

Lately, with the advent of "big data", machine learning and other factors associated with data and more intelligent processes, the argument has been made that these capabilities will solve the innovation gap. To date, there's been some improvement but the innovation gap still remains.

Big Data 170
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Uncovering Innovation in China’s Liquid Bandage Market with Big Data

Yet2

yet2 employed their proprietary Big Data approach to quickly ingest and analyze thousands of data points across their database of 5,000+ CMOs, reducing the analysis time from months to days. yet2 ’s Big Data analysis was crucial for matching this information to the China CFDA database.

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Propel Your Innovation Strategy into Overdrive with Big Data

IdeaScale

Big data has been a foundation of innovation ever since the first suggestion box was put out. Since then, the data set has only kept growing, until now you can filter thousands or even millions of data points. How do you effectively use big data to drive innovation? Collect Only Relevant Data.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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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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Is Big Data Doing More Harm Than Good?

Digital Tonto

Related posts: If Big Data Is To Live Up To Its Promise, [[ This is a content summary only. The truth is that no amount of complex tables and graphs can hide the fact that humans, with all of their faults, lie behind every system. Visit my website for full links, other content, and more! ]].

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.