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Business Intelligence and Analytics: Research Directions

Published: 01 January 2013 Publication History

Abstract

Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships. In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics. The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. For each research direction, we will also determine a few important questions to be addressed in future research.

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  1. Business Intelligence and Analytics: Research Directions

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    Reviews

    Kalman Balogh

    Business intelligence and analytics (BIA) is one of the most rapidly growing branches of information and communications technology (ICT), playing an increasingly fundamental role in business, government, healthcare, and traffic, among many other areas. The authors of this paper are leaders in their respective organizations, recognized in different application fields within the domain of knowledge discovery and BIA. Because they have a special perspective on the state of the art of BIA, it is interesting to read their opinions about its status, open problems, and fruitful directions for future research. In the first part of the paper, the authors summarize their views on BIA, both its history and the current emerging industry, and on related data (kind, source, and use) and platform technology trends. The main part of the paper focuses on research directions. These are grouped into three areas-big data, text, and network analytics-and are investigated for possible solutions and important problems for future consideration. Each group is described from different aspects and then relevant research questions are enumerated. I do not think that any overview of the needed research directions can be complete, but this one highlights many essential open problems. The paper is application oriented and informal, without mentioning theoretical methods. It is quite readable, with a simple structure and clear phrasing. I recommend this paper for those who want to find real theoretical and practical problems to solve in this important application field. Online Computing Reviews Service

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    Published In

    cover image ACM Transactions on Management Information Systems
    ACM Transactions on Management Information Systems  Volume 3, Issue 4
    January 2013
    77 pages
    ISSN:2158-656X
    EISSN:2158-6578
    DOI:10.1145/2407740
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 January 2013
    Accepted: 01 October 2012
    Revised: 01 August 2012
    Received: 01 March 2012
    Published in TMIS Volume 3, Issue 4

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    Author Tags

    1. Business intelligence
    2. business analytics

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    • (2024)Optimizing Business Intelligence Classification Rule Mining Using Quantum-Inspired Genetic AlgorithmIEEE Access10.1109/ACCESS.2024.346350612(137041-137053)Online publication date: 2024
    • (2024)The Contributions of Business Intelligence and Big Data to Public Healthcare in South AfricaImplications of Information and Digital Technologies for Development10.1007/978-3-031-66986-6_22(296-308)Online publication date: 1-Aug-2024
    • (2023)Tech-Business Analytics in Primary Industry SectorInternational Journal of Case Studies in Business, IT, and Education10.47992/IJCSBE.2581.6942.0279(381-413)Online publication date: 30-Jun-2023
    • (2023)Effects and Potentials of Business Intelligence Tools on Tourism Companies in a Tourism 4.0 EnvironmentInternet of Behaviors Implementation in Organizational Contexts10.4018/978-1-6684-9039-6.ch008(153-174)Online publication date: 1-Nov-2023
    • (2023)The Effect of Business Intelligence on Bank Operational Efficiency and Perceptions of ProfitabilityFinTech10.3390/fintech20100082:1(99-119)Online publication date: 23-Feb-2023
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