We could not agree more with the trends articulated in Tom Davenport’s Wall Street Journal blog Wednesday entitled “Preparing for Analytics 3.0”... particularly these 3 "traits of analytics 3.0" which we are seeing play out among customers across industries:
- The importance of combining internal + external data sources (mentioned in first trait above)...enterprise organizations clearly see increasing value in analyzinig their internal data in the context of market data...that came through strongly in a survey we did lastFall on Big Data Analytics with Economist Intelligence Unit and depicted in section #3 of this "Humanizing Big Data" Infographic.
- Rise of the "conventional quantitative analysts" (referenced in the sixth trait above) which we are seeing become more empowered through the ability to design analytic apps and incorporate new sources of Big Data into their analysis. While much has been written about the rise of the Data Scientist, we have witnessed the rise of the Data Artisan (the new business and data analysts) in our customers...so much so that I wrote this "In Defense of the Data Analyst" blog last Summer.
- The consumerization of analytics through easier to use predictive tools (mentioned in first trait) and better, more targeted analytic apps for end users (mentioned in the eighth trait above). There is clearly a growing desire in the Line of Business to be able to easily build, share and run analytic apps with a more "consumer Web-like" experience for targeted uses such as customer analytics, trade area analysis, etc. ...which is why we launched our Alteryx Analytics Gallery public cloud service last Fall and have seen a huge uptick in interest around deploying analytic apps. This model makes it much easier for business decision makers to incorporate new sources of Big Data into their analysis (in context of all other internal and external relevant data), take advantage of advanced analytics like predictive and spatial (without necessarily knowing how to write code in R or SAS) and get the answers they need to support strategic decisions much faster.
