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Top business intelligence trends of 2017

Data is the oil of many modern organisations intelligence

Harnessing data to produce business intelligence needed to gain a competitive edge is more important than ever to many organisations today. But where is the BI field headed? We look at the trends for 2017. According to the Top Business Intelligence Trends 2017 report, visualisation and explorative data analysis for business users, has become one of the most important trends in BI. + Read More

Big data case study: How UPS is using analytics to improve performance

UPS is placing analytics and insight at the heart of business operations

"Big data at UPS takes many forms because of all the types of information we collect," he says. "We're excited about the opportunity of using big data to solve practical business problems. We've already had some good experience of using data and analytics and we're very keen to do more." + Read More

Predictive Analytics: Predicting Customer Behavior to Improve ROI

Predictive analytics is probably the hottest thing in marketing analytics right now

Predictive analytics go beyond describing consumer behavior to predicting how consumers will behave in the future based on data. If you've never heard of it, don't feel bad-marketing lags behind many other business disciplines in using data to drive decision-making. In fact, marketing still struggles with descriptive statistics, which merely describe behaviors, such as visits, ad responses, etc. + Read More

The Future of Data Science is Augmentation, not Automation

How far we've come in analytics over the last 10 years

A decade ago the iPhone was a new device and there wasn't an app for much of anything. Competing on analytics was a new concept. And we were considerably less worried about artificial intelligence taking our jobs and taking over our world. Boy, things have changed in the last 10 years. Those changes were the major theme of the speed keynote talks on the mainstage at the SAS Analytics Experience conference in Washington, DC. + Read More

Debunking 8 Big Data and Analytics Myths

Eight such myths that you will want to dispel as you advance your analytics strategy

There's little doubt that the concept of big data analytics has been dragged through the mud multiple times over the years. Early adopters struggled in many areas that ultimately led to higher than expected failure rates - and ultimately - a poor return on investment. Yet, many of the mistakes of the past have long since been overcome. What remains, however, are a number of myths surrounding concepts and implementation steps that some feel still reflect the truth. + Read More

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Derrick Martins (Founder) and David Callahan (Editor)

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