business intelligence
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What Is Data Analytics?
The business world is becoming increasingly data-driven, and, as time goes on, that world is only going to be swamped with even more data as it pours in from a multitude of sources. Most organizations today realize that if they capture and store all of this data, they can apply data analytics to gain significant
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Data Analytics Vs. Data Analysis: What’s the Difference?
You say to-mah-to, I say to-may-to, but we can call the whole thing off because, no matter how we pronounce the word, both you and I are referring to the same thing – a plump red fruit that tastes good in a sandwich. There’s no real dispute here – just a variation in pronunciation. What
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5 Top Data Science Bloggers to Follow in 2019
Data science is a constantly evolving beast, and any data scientist who wants to stand a chance of keeping up-to-date with the state of the industry needs to be keeping a close eye on all recent developments and following along with their peers. While social networks such as Twitter are pretty good resources to search
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5 Big Data Predictions for 2019
It wasn’t so long ago that big data was the sole reserve of big businesses – massive, global corporations with equally big budgets. Only these organizations could afford the otherwise prohibitively expensive technology, skilled data scientists and channels needed to collect, store, analyze and draw insights from vast, vast quantities of data. Today, however, the
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Data Analytics Leader Yellowfin BI Delivers on New Visions of Data-Driven Decisions and Stories
Halloween may be an already-faded memory, but it was also when a data analytics company called Yellowfin BI introduced new tricks and treats for businesses that use data to drive decisions. Recently, Yellowfin announced immediate availability of two new solutions, Yellowfin Signals and Yellowfin Stories. Each is designed to enable better business decisions by providing innovative
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Beyond the Numbers: Making Data Analytics Meaningful with Business Intelligence
You’ve got all the mechanisms and software to capture, store and analyze data about your organizational operations, your performance and so much more – but now what? This is the common point of realization for many managers where, because they think they have all the data they need, that it automatically tells them what they
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