Topic
Business analytics
About: Business analytics is a research topic. Over the lifetime, 3593 publications have been published within this topic receiving 84601 citations. The topic is also known as: Business Analytics & business analytics.
Papers published on a yearly basis
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01 Oct 2007TL;DR: This paper was intended as a short introduction to the study of business intelligence in enterprise computing environment and points out the challenges to broad and deep deployment of business Intelligence systems, and provides the proposals of making business intelligence more effective.
Abstract: Business intelligence (BI) is the process of gathering enough of the right information in the right manner at the right time, and delivering the right results to the right people for decision-making purposes so that it can continue to yield real business benefits, or have a positive impact on business strategy, tactics, and operations in the enterprises. This paper was intended as a short introduction to the study of business intelligence in enterprise computing environment. In addition, the conclusions point out the challenges to broad and deep deployment of business intelligence systems, and provide the proposals of making business intelligence more effective.
15 citations
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TL;DR: In this paper, the authors examine the importance of effective talent metrics and examine the problems organizations face when trying to develop talent intelligence, finding that up to 70 percent of a company's value is tied up in the skills and experience of its employees, however, business executives and Human Resource (HR) departments have very little insight into how to use this asset for better business outcomes.
Abstract: Purpose – It may be a cliche of modern business for a company to say that “people are our greatest asset,” but this is one truism that should be taken seriously. Up to 70 percent of a company's value is tied up in the skills and experience of its employees. All too often, however, business executives and Human Resource (HR) departments have very little insight into how to use this asset for better business outcomes. This paper aims to look at the importance of effective talent metrics and to examine the problems organizations face when trying to develop talent intelligence.Design/methodology/approach – The paper discusses the findings of Talent Intelligence: Key to Business Success, an independent research report examining business and HR attitudes to talent metrics and analytics.Findings – Despite the business value that accurate, accessible talent intelligence can provide, the research finds that there are significant differences between those talent metrics that organizations consider important and the...
15 citations
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01 Jan 2015
TL;DR: In this paper, the authors introduce the role of business analytics in performance management and explain the theoretical and practical concepts of BA, Performance Management Analytics (PMA), and organizational performance; the overview of performance measurement and PM; the application of Performance Management System (PMS) through BA; and the significance of BA in PMA.
Abstract: This chapter introduces the role of Business Analytics (BA) in Performance Management (PM), thus explaining the theoretical and practical concepts of BA, Performance Management Analytics (PMA), and organizational performance; the overview of performance measurement and PM; the application of Performance Management System (PMS) through BA; and the significance of BA in PMA. This chapter also explains the practical areas of BA and their advantages within the foundation of PM. BA can be used to validate causal relationships within traditional input, process, output, and outcome categories toward business success. Extending the domain of PM to PMA requires new business data analysis skills to gain organizational effectiveness. PMA fills the existing gap between PMS and effective PM adoption. Understanding the role of BA in PM will significantly enhance the organizational performance and achieve business goals in the global business environments.
15 citations