Performance Analysis: Crafting the Flair to Make the Difference

Performance Analysis: Crafting the Flair to Make the Difference

Mambo Mupepi (Seidman College of Business, USA)
Copyright: © 2017 |Pages: 10
DOI: 10.4018/978-1-5225-1961-4.ch004
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There are numerous approaches to developing organizational talent and all take different turns. In this chapter, meta-analysis and analytics techniques are contrasted to produce the explicit knowledge necessary to excel organization. Crafting the flair needed in winning corporations focuses on three specific areas in the value creation system: recruitment, training and development, and design and implementation of competitive conditions of service as critical in getting the people possessing the desirable competences and their retention to advance output. Data mined from the firms' activities can be organized in exploitable datasets which can be analyzed in tandem with research results to craft difficult to emulate practices leading to increased productivity.
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The plan of this discourse is in five parts. The first part offers an introduction and the definition of some of the key terms used in the discussion. As antecedence to progress the debate the questions asked are (1). What are the benefits of using analytics and results from organizational research? (2). what should organizations do to facilitate the use of this knowhow towards specific firm’s objectives?

The second part provides the background information by reviewing a carefully selected literature that undergirds the application of information analytics and organizational research in building efficient and effective enterprise. Efficiency is a measure of how well resources are employed to achieve a goal. Effectiveness is a measure of the appropriateness of a goal the firm is pursuing and the degree to which the organization achieve that goal. Information deduced from mined data and research studies is applied to advance the efficacies necessary to increase productivity.

The third part produces a summary of the debate followed by the fourth part in which some of the problems in the design and implementation of credulous databases. The fifth part recommends a model of how to design and implement gullible databases. In the last part, a conclusion is drawn.

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