01884nas a2200205   4500008004100000022001400041245006100055210006100116260004200177300001000219490000600229520127700235653001301512653002001525653002301545653002401568653002501592100002501617856003601642       2014                        eng d  a1927-032100aFormulating an Executive Strategy for Big Data Analytics0 aFormulating an Executive Strategy for Big Data Analytics  aOttawabTalent First Networkc03/2014  a25-340 v43 aThe recent surge in big data technologies has left many executives, both of well-established organizations and emerging startups, wondering how best to harness big data. In particular, the analytics aspect of big data is enticing for both information technology (IT) service providers and non-IT firms because of its potential for high returns on investment, which have been heavily publicized, if not clearly demonstrated, by multiple whitepapers, webinars, and research surveys. Although executives may clearly perceive the benefits of big data analytics to their organizations, the path to the goal is not as clear or easy as it looks. And, it is not just the established organizations that have this challenge; even startups trying to take advantage of this big data analytics opportunity are facing the same problem of lack of clarity on what to do or how to formulate an executive strategy. This article is primarily for executives who are looking for help in formulating a strategy for achieving success with big data analytics in their operations. It provides guidelines to them plan an organization's short-term and long-term goals, and presents a strategy tool, known as the delta model, to develop a customer-centric approach to success with big data analytics.10abig data10abusiness vision10aexecutive strategy10aIT entrepreneurship10apredictive analytics1 aPalem, Gopalakrishna  uhttp://timreview.ca/article/773