{"id":48451,"date":"2013-02-04T00:00:00","date_gmt":"2013-02-04T00:00:00","guid":{"rendered":"https:\/\/www.techopedia.com\/big-data-and-the-analytical-platform\/"},"modified":"2013-02-04T12:18:54","modified_gmt":"2013-02-04T12:18:54","slug":"big-data-and-the-analytical-platform","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/2\/29219\/enterprise\/databases\/big-data-and-the-analytical-platform","title":{"rendered":"Big Data and the Analytical Platform"},"content":{"rendered":"

The use of analytical software increasingly drives decision-making in today’s most agile organizations. So significant has this practice become, that many software vendors now tout "analytic platforms" designed for strategically managing the use of data-driven analysis. But what exactly is an analytic platform? And where does so-called big data fit within the context of analytics? We explored those key questions in a recent episode of "The Briefing Room", featuring Analyst John Myers of Enterprise Management Associates, and Paul Ross of Alteryx, a vendor with well-heeled clients like Walmart.<\/p>\n

Data is useful in context, not so much in isolation. Big data is most valuable when analyzed in conjunction with traditional data sets, such as sales or customer data. Alteryx provides an intuitive user interface atop a production-and-consumption workflow environment that facilitates both the creation of analytical apps, and the consumption of derived insights. The software seeks to "humanize" big data by enabling users to combine it with more traditional information assets from across the organization. Business analysts and "data artisans" can perform predictive and spatial analytics, as well as produce applications that can be shared via private cloud or the Alteryx Analytics Gallery public cloud.<\/p>\n

Here’s what we learned:<\/p>\n