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.
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01 Dec 2011
TL;DR: In this paper, the authors developed a process-oriented theoretical framework that explains how dynamic and operational capabilities interact over time to create value and improve competitive advantage for firms, and used the framework to explain how business value was achieved from business analytics systems.
Abstract: Business analytics can potentially create value and improve competitive advantage for firms. We argue that dynamic and operational capabilities, enabled by business analytics technology, lead to improved firm performance. We develop a process-oriented theoretical framework that explains how dynamic and operational capabilities interact over time to create value. We use the framework to explain how business value was achieved from business analytics systems in a case study at a financial institution. A number of implications of the study are discussed and suggestions for future work are provided.
17 citations
TL;DR: A novel framework which combines Six Sigma and Business Analytics is presented, which mines large volumes of inline and offline biopharmaceutical production data, allowing the entire production process to be analysed and modelled.
17 citations
06 May 2017
TL;DR: This case study characterizes the new ecology of needs, skills, and tools for self-service analytics emerging in business organizations with a growing population of data analysts being employed in departments such as Sales, Marketing, and Finance.
Abstract: This case study characterizes the new ecology of needs, skills, and tools for self-service analytics emerging in business organizations. A growing population of data analysts are being employed in departments such as Sales, Marketing, and Finance. These new users call for new tools for self-service analytics. The paper summarizes qualitative findings from three years of user research with business users performing data analysis tasks. The call for a broader theoretical framework is proposed based on these findings.
17 citations
04 Jan 2019
TL;DR: In this article, the authors identify the specific skills and abilities within the broad category of data analytics that current business professionals believe are most important for accounting graduates so that faculty can create classroom materials most beneficial for the future accounting graduates.
Abstract: The purpose of this study is to identify the specific skills and abilities within the broad category of data analytics that current business professionals believe are most important for accounting graduates. Data analytics knowledge is clearly important, but this category is broad. Therefore, this study identifies the specific skills and abilities that are most important for accounting graduates so that faculty can create classroom materials most beneficial for the future accounting graduates. In 2013, the Association to Advance Collegiate Schools of Business developed new standards for accounting programs, including standard A7, related to information technology and analytics. The intent of the standard clearly focuses on increasing the level of technology and analytics studied within the accounting curriculum. However, the specific details and methods for achieving the intent of A7 remain an open question. This chapter uses prior research focused on business analytics education to identify potential analytic skills, tools, techniques, and management issues of concern within the accounting profession. A survey of 342 accounting professionals identifies suggested areas of analytic competencies for accounting graduates. Specifically, the authors find preferences for skills related to data interpretation and communication over any individual technical skills or statistical knowledge. These skills suggest a role for accountants as intermediaries who may need to translate analytic activities into business language. Post hoc, the authors examine the survey results for differences based on respondent characteristics. Interestingly, female respondents report lower beliefs about the importance of analytic skills. The authors also find some differences when examining different demographics within the respondents.
17 citations
TL;DR: It is concluded that an understanding of the role of interpretation in data collection, collation and subsequent decision making is critical to business intelligence and calls for more research in this area.
17 citations