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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

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. Find out how your business can take advantage of this phenomenon and how to deal with Big Data in a profitable way and more! As you saw, the problem is a given.

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How a Big Data Strategy Can Fight Insurance Fraud

mjvinnovation

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.

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Digital Transformation, Data and Innovation

Jeffrey Phillips

In my last post I tried to illustrate the importance (and the challenges) of data to digital transformation. This is often a complex and difficult idea for people to understand - why is "data" so hard? We humans have this insight and understand the less overt concepts around meta-data because we have learned experience.

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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. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. Myth 2: Data Analytics is extremely expensive.

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A Quick Guide to Data Estate Modernization with Azure Synapse Analytics

Acuvate

The modern business world is fast progressing on the path of reaching 175 ZB of data by 2025. Indeed, data defines the modern-day business environment. But how C-suites and business executives approached data in the past has taken a 360-degree turn. Data estate modernization is a tough row to hoe.

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Data Science: Why and How do you Invest in Data?

mjvinnovation

Data Science is a multidisciplinary mix of data inference, algorithm development, and technology to solve analytically complex problems. What is Data Science and why is it so urgent to invest? The main advantage of Data Science in an organization is the empowerment and facilitation of decision making. Check it out!

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