Exploratory Perspective on the Operational Worth of Big Data Analytics in Public and Private Organizations
Robert T. Dauphin, PhD.

Abstract
Evolving academic and practitioner literature is the prototypical transition in perception of big data analytics that supports transition away from a technical role toward a strategic operational worth-creating role (Ezingeard, McFadzean, &Birchall, 2005; Sherizen, 2003; Van Opstal, 2006).However, there are limited academic work on the operational worth of big dataanalytics. This exploratory perspective helps to fill that gap. This exploratory perspective is done to analyze the ways big data analytics creates organizational worth; the types of metrics used to demonstrate its worth; the extent of big data analytics operational alignment and areas that can impede alignment. Operational worth advantages are analyzed through measures of perceived knowledge and actual knowledge. The analysis also underscores the relationship between perceived and actual operational worth advantages, and organizations of various organizational sectors. The analysis revealed key items of operational worth and found that overall perceived assessment of advantages to be most prevalent over actual assessment of advantages. Conclusions revealed that leadership within organizations actually play a significant role in the success of big data analytics.

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