Many companies are finding a huge upside potential in data analytics to grow revenues and profits, and cut costs. Sharper analysis of rich data from an expanding range of sources is enabling more cost-effective marketing and improved customer engagement. As a result. companies are investing in information management infrastructure to extract the gains. Yet, data analytics cannot be effective beyond a point, and companies need to keep their approaches grounded in reality, say Peter Fader, Wharton marketing professor, and K. R. Sanjiv, global head of analytics and information management at Wipro Technologies.
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MLA"Assessing the Bounties and Boundaries in Big Data Analytics." Knowledge@Wharton. The Wharton School, University of Pennsylvania, 21 December, 2012. Web. 13 December, 2017 <http://knowledge.wharton.upenn.edu/article/wipro/>
APAAssessing the Bounties and Boundaries in Big Data Analytics. Knowledge@Wharton (2012, December 21). Retrieved from http://knowledge.wharton.upenn.edu/article/wipro/
Chicago"Assessing the Bounties and Boundaries in Big Data Analytics" Knowledge@Wharton, December 21, 2012,
accessed December 13, 2017. http://knowledge.wharton.upenn.edu/article/wipro/