The company description says it all: "We founded ClearStory Data to make it easy to gather and explore big, diverse, dispersed data for faster and more intuitive insights."
ClearStory focuses on making software that allows organizations of all sizes to blend their own data with vast amounts of publicly available data, reported a post in the New York Times blog, Bits
. In other words, here's an innovative company leveling the playing field for big data analysis.
The software draws this data from databases, Hadoop, and the Web, the company’s Website says. Specific sources mentioned in the Times post include data marts like Datasift, Factual, Microsoft's Windows Azure Data Marketplace, and Infochimps.
“There aren’t enough experts at companies to handle all these data sources,” Sharmila Shahani-Mulligan, ClearStory co-founder and CEO, told the Times. At the same time, she said, ClearStory wants to give small brick-and-mortar stores a do-it-yourself way to use big data effectively, even if they don’t have teams of data scientists like big Web 2.0 companies do.
“We’re about making data consumable,” Shahani-Mulligan told the Times. “The world is talking about the size of big data sources, but at the end of the day it will be about the ease of consumption.”
McKinsey Global Institute reports the need for 190,000 professionals with analytical expertise in the US alone. ClearStory plans to respond by creating a huge group of data consumers, ordinary business professionals armed with its software.
ClearStory offers algorithms to help companies gain insight from the combination of private and public data they blend on their sites. The software company aims to convince some private companies to share internal data on the site, too, the Times reported.
It plans to offer a free service beginning this summer for casual users. Commercial users will have the option of an upgraded paid version. You can sign up for early access to the ClearStory service by clicking here.
How might your organization use a free data analytics tool? Leave your comments below and tell us whether your organization might be willing to share some of its internal data with fellow users. Why or why not?