We're Entering a New Era of Augmented Analytics


(Image: maxsattana/iStockphoto)

(Image: maxsattana/iStockphoto)

The next fundamental shift in the evolution of analytics is beginning. Similar to the second wave of self-service business intelligence disrupting the first wave of traditional BI, augmented analytics technologies in the third wave will change the game once again. Early adopters of augmented analytics tout unprecedented speed to insight and enhanced competitive advantage.

Augmented analytics uses machine-learning automation to supplement human intelligence across the entire analytics life-cycle. Last week Gartner released a report called "Augmented Analytics is the Future of Data and Analytics". If you are not a Gartner subscriber, Rita Sallam's public article provides an brief overview.

Automating analytics is not a novel idea. This old concept is vastly improving thanks to advances in artificial intelligence, search, natural language, and other modern computing technologies. Numerous vendors already suggest data visualizations, reveal outliers, embed simple forecasting and clustering within visual analytics tools. Augmented analytics delves deeper.

Next generation augmented analytics capabilities can automatically prepare and cleanse data, perform feature engineering, find key insights and hidden patterns. Automation expedites investigation across millions of variable combinations that would be too time consuming for a human to do manually. Often new discoveries are exposed in the process. Furthermore, artificial intelligence algorithms interpret results and present unbiased alternatives along with actionable recommendations.

[Read the rest of the article at InformationWeek]

Jen Underwood, Founder of Impact Analytix, LLC

Jen Underwood, founder of Impact Analytix, LLC, is a recognized analytics industry expert. She has a unique blend of product management, design and over 20 years of "hands-on" development of data warehouses, reporting, visualization and advanced analytics solutions. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data. Jen is honored to be an IBM Analytics Insider, SAS contributor, former Tableau Zen Master, and active analytics community member.

In the past, Jen has held worldwide product management roles at Microsoft and served as a technical lead for system implementation firms. She has launched new analytics products and turned around failed projects. Today she provides industry thought leadership, advisory, strategy, and market research.

Jen has a Bachelor of Business Administration - Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science - Data Mining from the University of California, San Diego.

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Re: One upside: The assonance of augmented analytics
  • 8/18/2017 9:21:07 AM
NO RATINGS

I'm curious to see what a machine looks at as being a KPI versus what humans think are KPIs.  Will machines be able to add much at all translating data to a human readable and actionable format?  I think if you have the machines gather data sources and doing some intelligent matching between data sets then you have something very useful.  I'm not so sure that they will be able to identify things that humans aren't already looking at.

Re: One upside: The assonance of augmented analytics
  • 8/16/2017 9:45:02 AM
NO RATINGS

Almost every future prediction turns out to be wrong so this will be no different. I am not sure we can tell what the effects of the legal and moral issues will be.

Re: One upside: The assonance of augmented analytics
  • 8/16/2017 8:22:04 AM
NO RATINGS

Whatever the name, it will be interesting to see how intelligent analytics can in the future become.  With lots of work to be done on all fronts including legal and moral issues, it might be more or less "intelligent" than we might imagine depending on the issues that will present itself in this new predicted erea.

Re: One upside: The assonance of augmented analytics
  • 8/15/2017 12:57:59 PM
NO RATINGS

Maybe intelligent analytics would be a better name. I agree that augmented analytics is a poor choice.

One upside: The assonance of augmented analytics
  • 8/15/2017 12:49:38 PM
NO RATINGS

I don't doubt that this new wave of analytics draws on machine learning and AI to do more faster, better, smarter.

But "augmented analytics"? It's a clunky term and not very descriptive. I can imagine customers stepping over it quickly or being utterly confused by the term. if the point of a new term was to give salespeople and marketers something to talk to customers about, why not just intelligent analytics? Analytics squared? (sorry, A2's commenting platform doesn't support exponents.) 

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