IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v36y2016i5p700-710.html
   My bibliography  Save this article

A review and future direction of agile, business intelligence, analytics and data science

Author

Listed:
  • Larson, Deanne
  • Chang, Victor

Abstract

Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery disciplines. This article explores the application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence. Business intelligence has evolved because the amount of data generated through the internet and smart devices has grown exponentially altering how organizations and individuals use information. The practice of business intelligence delivery with an Agile methodology has matured; however, business intelligence has evolved altering the use of Agile principles and practices. The Big Data phenomenon, the volume, variety, and velocity of data, has impacted business intelligence and the use of information. New trends such as fast analytics and data science have emerged as part of business intelligence. This paper addresses how Agile principles and practices have evolved with business intelligence, as well as its challenges and future directions.

Suggested Citation

  • Larson, Deanne & Chang, Victor, 2016. "A review and future direction of agile, business intelligence, analytics and data science," International Journal of Information Management, Elsevier, vol. 36(5), pages 700-710.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:5:p:700-710
    DOI: 10.1016/j.ijinfomgt.2016.04.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026840121630233X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2016.04.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Solomon Negash & Paul Gray, 2008. "Business Intelligence," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 45, pages 175-193, Springer.
    2. Frada Burstein & Clyde Holsapple, 2008. "Handbook on Decision Support Systems 2," International Handbooks on Information Systems, Springer, number 978-3-540-48716-6, November.
    3. Newman, Russell & Chang, Victor & Walters, Robert John & Wills, Gary Brian, 2016. "Model and experimental development for Business Data Science," International Journal of Information Management, Elsevier, vol. 36(4), pages 607-617.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ashrafi, Amir & Zareravasan, Ahad, 2022. "An ambidextrous approach on the business analytics-competitive advantage relationship: Exploring the moderating role of business analytics strategy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    2. Erkan Bayraktar & Ekrem Tatoglu & Arafat Salih Aydiner & Dursun Delen, 2024. "Business Analytics Adoption and Technological Intensity: An Efficiency Analysis," Information Systems Frontiers, Springer, vol. 26(4), pages 1509-1526, August.
    3. Rehman, Muhammad Habib ur & Chang, Victor & Batool, Aisha & Wah, Teh Ying, 2016. "Big data reduction framework for value creation in sustainable enterprises," International Journal of Information Management, Elsevier, vol. 36(6), pages 917-928.
    4. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
    5. Ranjan Chaudhuri & Sheshadri Chatterjee & Demetris Vrontis & Alkis Thrassou, 2024. "Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture," Annals of Operations Research, Springer, vol. 339(3), pages 1757-1791, August.
    6. Gupta, Manjul & George, Joey F. & Xia, Weidong, 2019. "Relationships between IT department culture and agile software development practices: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 13-24.
    7. Falana, Gbenga Ayodele & Olusola Esther (PhD) & Dagunduro, Muyiwa Emmanuel, 2023. "Effect of Big Data on Accounting Information Quality in Selected Firms in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 789-806, March.
    8. Yousafzai, Abdullah & Chang, Victor & Gani, Abdullah & Noor, Rafidah Md., 2016. "Directory-based incentive management services for ad-hoc mobile clouds," International Journal of Information Management, Elsevier, vol. 36(6), pages 900-906.
    9. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).
    10. Maël Schnegg & Klaus Möller, 2022. "Strategies for data analytics projects in business performance forecasting: a field study," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(2), pages 241-271, June.
    11. Božič, Katerina & Dimovski, Vlado, 2019. "Business intelligence and analytics for value creation: The role of absorptive capacity," International Journal of Information Management, Elsevier, vol. 46(C), pages 93-103.
    12. Bashir, Raja Sehrab & Lee, Sai Peck & Khan, Saif Ur Rehman & Chang, Victor & Farid, Shahid, 2016. "UML models consistency management: Guidelines for software quality manager," International Journal of Information Management, Elsevier, vol. 36(6), pages 883-899.
    13. Sariyer, Gorkem & Kumar Mangla, Sachin & Chowdhury, Soumyadeb & Erkan Sozen, Mert & Kazancoglu, Yigit, 2024. "Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies," Journal of Business Research, Elsevier, vol. 181(C).
    14. Ariyaluran Habeeb, Riyaz Ahamed & Nasaruddin, Fariza & Gani, Abdullah & Targio Hashem, Ibrahim Abaker & Ahmed, Ejaz & Imran, Muhammad, 2019. "Real-time big data processing for anomaly detection: A Survey," International Journal of Information Management, Elsevier, vol. 45(C), pages 289-307.
    15. Maria Hoffmann Jensen & John Stouby Persson & Peter Axel Nielsen, 2023. "Measuring benefits from big data analytics projects: an action research study," Information Systems and e-Business Management, Springer, vol. 21(2), pages 323-352, June.
    16. Madalina Cuc & Anca Gabriela Petrescu, 2024. "IoT Modeling for Digital Enterprises and Decision Analysis: A Descriptive Presentation," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 15(1), pages 1-8, January.
    17. Darehshiri, Mahsa & Ghaemi Asl, Mahdi & Babatunde Adekoya, Oluwasegun & Shahzad, Umer, 2022. "Cross-spectral coherence and dynamic connectedness among contactless digital payments and digital communities, enterprise collaboration, and virtual reality firms," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    18. Jimenez-Marquez, Jose Luis & Gonzalez-Carrasco, Israel & Lopez-Cuadrado, Jose Luis & Ruiz-Mezcua, Belen, 2019. "Towards a big data framework for analyzing social media content," International Journal of Information Management, Elsevier, vol. 44(C), pages 1-12.
    19. Maryia Zaitsava & Elona Marku & Maria Chiara Guardo & Azar Shahgholian, 2023. "A fine-grained perspective on big data knowledge creation: dimensions, insights, and mechanism from a pilot study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 547-573, June.
    20. Iqbal, Kiram, 2023. "Acceptance conditions of algorithmic decision support in management," Junior Management Science (JUMS), Junior Management Science e. V., vol. 8(4), pages 887-925.
    21. Hassani, Abdeslam & Mosconi, Elaine, 2022. "Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    22. Muhammad Ovais Ahmad & Iftikhar Ahmad & Nripendra P. Rana & Iqra Sadaf Khan, 2023. "An Empirical Investigation on Business Analytics in Software and Systems Development Projects," Information Systems Frontiers, Springer, vol. 25(2), pages 917-927, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jaklič, Jurij & Grublješič, Tanja & Popovič, Aleš, 2018. "The role of compatibility in predicting business intelligence and analytics use intentions," International Journal of Information Management, Elsevier, vol. 43(C), pages 305-318.
    2. Halbich, Cestmir & Vostrovsky, Vaclav, 2011. "GIS as spatial decision support system," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 3(2), June.
    3. Manuel Casal-Guisande & Alberto Comesaña-Campos & Alejandro Pereira & José-Benito Bouza-Rodríguez & Jorge Cerqueiro-Pequeño, 2022. "A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring," Mathematics, MDPI, vol. 10(3), pages 1-30, February.
    4. Marta Kadłubek & Eleftherios Thalassinos & Joanna Domagała & Sandra Grabowska & Sebastian Saniuk, 2022. "Intelligent Transportation System Applications and Logistics Resources for Logistics Customer Service in Road Freight Transport Enterprises," Energies, MDPI, vol. 15(13), pages 1-27, June.
    5. Wex, Felix & Schryen, Guido & Feuerriegel, Stefan & Neumann, Dirk, 2014. "Emergency response in natural disaster management: Allocation and scheduling of rescue units," European Journal of Operational Research, Elsevier, vol. 235(3), pages 697-708.
    6. Hamed M. Zolbanin & Dursun Delen & Durand Crosby & David Wright, 2020. "A Predictive Analytics-Based Decision Support System for Drug Courts," Information Systems Frontiers, Springer, vol. 22(6), pages 1323-1342, December.
    7. Carolina Lino Martins & Pascale Zaraté & Adiel Teixeira de Almeida & Jônatas Araújo de Almeida & Danielle Costa Morais, 2021. "Web-Based DSS for Resource Allocation in Higher Education," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 13(4), pages 1-23, October.
    8. Cullen, Andrew C. & Alpcan, Tansu & Kalloniatis, Alexander C., 2022. "Adversarial decisions on complex dynamical systems using game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    9. Smedberg, Henrik & Bandaru, Sunith, 2023. "Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1311-1329.
    10. Pavlos Delias & Daniela Grigori, 2021. "Two Problem Formulations for Process Innovation Based on Operations Sophistication," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 13(1), pages 1-18, January.
    11. Jorge Cerqueiro-Pequeño & Alberto Comesaña-Campos & Manuel Casal-Guisande & José-Benito Bouza-Rodríguez, 2020. "Design and Development of a New Methodology Based on Expert Systems Applied to the Prevention of Indoor Radon Gas Exposition Risks," IJERPH, MDPI, vol. 18(1), pages 1-32, December.
    12. Anthony William Bennett & Simone Müller Loose, 2024. "User-Centered Development of an Online Dashboard Tool for Economic Sustainability for Small and Medium Enterprises," Sustainability, MDPI, vol. 16(2), pages 1-24, January.
    13. Hamed M. Zolbanin & Dursun Delen & Durand Crosby & David Wright, 0. "A Predictive Analytics-Based Decision Support System for Drug Courts," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    14. Linkevičius, Edgaras & Borges, José G. & Doyle, Marie & Pülzl, Helga & Nordström, Eva-Maria & Vacik, Harald & Brukas, Vilis & Biber, Peter & Teder, Meelis & Kaimre, Paavo & Synek, Michal & Garcia-Gonz, 2019. "Linking forest policy issues and decision support tools in Europe," Forest Policy and Economics, Elsevier, vol. 103(C), pages 4-16.
    15. Mehmet Eren Ahsen & Mehmet Ulvi Saygi Ayvaci & Srinivasan Raghunathan, 2019. "When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis," Service Science, INFORMS, vol. 30(1), pages 97-116, March.
    16. Fawad Ahmed & Yuan Jian Qin & Luis Martínez, 2019. "Sustainable Change Management through Employee Readiness: Decision Support System Adoption in Technology-Intensive British E-Businesses," Sustainability, MDPI, vol. 11(11), pages 1-28, May.
    17. N. Beridze & G. Janelidze, 2020. "Organizing Decision-Making Support System Based Multi-Dimensional Analysis of the Educational Process Data," Journal of ICT, Design, Engineering and Technological Science, Juhriyansyah Dalle, vol. 4(1), pages 1-5.
    18. Cinelli, Marco & Kadziński, Miłosz & Gonzalez, Michael & Słowiński, Roman, 2020. "How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy," Omega, Elsevier, vol. 96(C).
    19. Francesca Conte & Pierluigi Vitale & Agostino Vollero & Alfonso Siano, 2018. "Designing a Data Visualization Dashboard for Managing the Sustainability Communication of Healthcare Organizations on Facebook," Sustainability, MDPI, vol. 10(12), pages 1-14, November.
    20. Xixi Li & J. J. Po-An Hsieh & Arun Rai, 2013. "Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context," Information Systems Research, INFORMS, vol. 24(3), pages 659-682, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:36:y:2016:i:5:p:700-710. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.