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In a blog post from Gartner last week, Rita Sallam announced that a new emerging topic that is becoming more prominent in the Business Intelligence and Analytics space: augmented analytics.

Automation is transforming the finance industry and it’s easy to see why. With growing databases and customers demanding personalized service, automation helps companies meet the current market demands.

Big Data is all around us, and I don’t mean that data is used everywhere. Instead, Big Data marketing is all around us, on the side of buses, on our television screens, in banner ads bombarding us online.

It seems everywhere we look, companies and analysts are talking about Natural Language Generation (NLG) software.

One of the most common questions I get from people interested in Natural Language Generation (NLG) is “how do we choose the first project?” The value of a software that can automatically write reports.

Business Intelligence tools is a term that has become commonplace within the analytics community, with a definition that has been slowly refined through the years.

As a company, it’s easy to understand that there’s value in data and that’s the point of business analytics. Data collection gives us information, data analysis gives us insights.

I’ve always been fascinated by the time period around the turn of the last century because of the strange juxtaposition of modern technology with ages-old processes.

It’s a familiar story. You’ve tried almost every combination of tips and tricks to improve your data analytics, but your Business Intelligence and analytics ROI is low.