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.

Learning Analytics in 21st century education: a review

Abstract: Learning Analytics is a topic of growing interest among educational research community. As a result of a systematic literature review, this article describes the usefulness of Learning Analytics as a key element to support a proper 21st century education and to intervene its current crisis from the perspective of different educational stakeholders such as teachers, students, principals and family. From a 1384 document corpus, 100 of them were processed through an abstracting and in-depth reading and a further categorizing stage. Results showed that Learning Analytics provides important inputs for a well-informed decision making of educational stakeholders. Also, despite its importance and educational potential, current implementation of Learning Analytics should no longer be restricted to highly technical profiles but to be open to the academic community and the population in general. In that sense, it is proposed that the skills and knowledge related to Learning Analytics must be included in an updated version of “21st century information literacy”.

Essentials of business analytics

Abstract: 1. What Is Business Analytics? 2. Descriptive Statistics. 3. Data Visualization. 4. Linear Regression. 5. Time Series Analysis and Forecasting. 6. Data Mining. 7. Spreadsheet Models. 8. Linear Optimization Models. 9. Integer Linear Optimization. 10. Nonlinear Optimization Models. 11. Monte Carlo Simulation. 12. Decision Analysis. Appendix A: Basics of Excel. Appendix B: Data Management and Microsoft Access.

Method, apparatus, and system for providing business intelligence

Abstract: The novel business intelligence system disclosed herein provides companies with an out of the box enterprise worthy business intelligence solution or environment. The business intelligence system encompasses all of the processes that are involved in the implementation of a business intelligence solution with maximum flexibility but minimizes the need for building a customized system

A Systematic Approach for Business Data Analytics With a Real Case Study

Abstract: Business data analytics is a process of utilizing analytic techniques for resolving business issues based on business performance data. While the avalanche of business data creates unprecedented opportunity, it also poses three fundamental challenges for analytics: (1) Business data often encounters quality issues and needs substantial cleaning efforts; (2) Business data is large in overall size but cannot be fully shared due to the concern of data security; and (3) Business data often needs to be cross-referenced with public databases to reveal more information and knowledge. Due to these challenges, the leading obstacle at many organizations is the lack of a systematic approach to understanding how to leverage the business data analytics techniques to transfer from data-rich into decision-smart. To answer this question, this article proposes a systematic step-by-step procedure for business data analytics. This proposed framework is illustrated and validated by a real case study that involves choosing an optimal location for opening of a new retail site.

Automatic argumentative analysis for interaction mining

Abstract: Interaction mining is about discovering and extracting insightful information from digital conversations, namely those human–human information exchanges mediated by digital network technology. We present in this article a computational model of natural arguments and its implementation for the automatic argumentative analysis of digital conversations, which allows us to produce relevant information to build interaction business analytics applications overcoming the limitations of standard text mining and information retrieval technology. Applications include advanced visualisations and abstractive summaries.