Big Data Analytics Assignment

Question

Task:Worldwide Influence of Big Data Analytics on the Business Priorities and Decision-making
Big Data analytics has entirely transformed the approaches as well as modes of the recent business scenarios and this particular concept is simply comprised of four important attributes such as value, velocity, volume as well as variety (Chen, Chiang and Storey 2012). This particular area of research can also result in the useful insights that in turn would aid the better strategic decisions in relation to the businesses. The concept of the big data analytics has risen beyond the storage of numerous information and it has also made the use of the analytical methods iterative along with the ongoing trends of marketplaces in the world of the mobile applications (LaValle er al., 2011). For an instance, businesses in today’s world are capable of analyzing the information on an immediate basis along with the speed of in-memory and Hadoop analytics combined with the capability of analyzing the new data sources (Demirkan and Delen 2013). Therefore, at today’s date, the organizations all over the globe are significantly utilizing the Big Data in driving the decisions of businesses as well as enhancing and improvising the ROI and the performances of the businesses (Chen, Chiang and Storey 2012). Big Data Analytics is a widely accepted or considered topic in the course and the profession of the engineering management as it has been turned into an impressive innovation in the engineering ground because it deals with offering numerous new ways of several technology integration.

Important Research Question
How does Big Data Analytics influence the business decision-making and business priorities as well?
Independent Variable – Big Data Analytics
Dependent Variables – Decision-making and Business Priorities

Clarity on the Question
Big Data Analytics deals with helping the companies in harnessing their data as well as utilizing it for identifying the new scopes, which in turn can result in the smarter moves of businesses, happier consumers, higher profits as well as the more efficient business operations (LaValle er al., 2011). Thus, such capability of working faster and staying agile can five the companies a competitive edge that they did not have before (Chen, Chiang and Storey 2012). Therefore, in order to make successful the application of the Big Data Analytics in the business operations of companies, it is very important to analyze the question mentioned above.

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