IDEAS home Printed from https://ideas.repec.org/a/wsi/ijfexx/v05y2018i02ns2424786318500111.html
   My bibliography  Save this article

Financial management and forecasting using business intelligence and big data analytic tools

Author

Listed:
  • Shrutika Mishra

    (Faculty of Commerce, Hindu University, Varanasi 221005, India)

Abstract

This paper discusses about the latest and efficient financial tools and techniques which optimize the financial cost of the organization and predict the financial situation of the organization to flourish the business in the efficient way. Financial management basically means to accumulate funding for the enterprise at a low cost and to expend this collected funding for earning extreme profits. Thus, financial management means to plan and control the finance of the company. Financial management is usually concerned with the flow and control of money within an organization and be it either reserved or open sector. So, these tools if functional in the better way then business will reach in the utmost altitude. Recently some computational tools have been developed by the computer scientist for the efficient management and prediction for the business which is very useful for forecast and prediction in the era of digital world. The intention of this paper is to review and discuss the most significant applications of Business Intelligence in financial management and forecasting and prediction domain as well as point to new technology trends that will affect financial development.

Suggested Citation

  • Shrutika Mishra, 2018. "Financial management and forecasting using business intelligence and big data analytic tools," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-16, June.
  • Handle: RePEc:wsi:ijfexx:v:05:y:2018:i:02:n:s2424786318500111
    DOI: 10.1142/S2424786318500111
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2424786318500111
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2424786318500111?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. Sabri Boubaker & Wael Rouatbi & Walid Saffar, 2017. "The Role of Multiple Large Shareholders in the Choice of Debt Source," Financial Management, Financial Management Association International, vol. 46(1), pages 241-274, March.
    2. Sanjiv Sabherwal & Salil K. Sarkar & Mohammad Riaz Uddin, 2017. "Political Party Affiliation of the President, Majority in Congress, and Sin Stock Returns," Financial Management, Financial Management Association International, vol. 46(1), pages 3-31, March.
    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. Shrutika Mishra & A. R. Triptahi, 2020. "Platforms oriented business and data analytics in digital ecosystem," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 1-16, February.
    2. Zhiqiang Zhou & Wenyan Liu & Pengfei Cheng & Zhenjin Li, 2022. "The Impact of the Digital Economy on Enterprise Sustainable Development and Its Spatial-Temporal Evolution: An Empirical Analysis Based on Urban Panel Data in China," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    3. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    4. Lingling Zhang & Jing Li & Qiuliu Zhang & Fan Meng & Weili Teng, 2019. "Domain Knowledge-Based Link Prediction in Customer-Product Bipartite Graph for Product Recommendation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 311-338, January.

    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. Sabri Boubaker & Riadh Manita & Wael Rouatbi, 2021. "Large shareholders, control contestability and firm productive efficiency," Annals of Operations Research, Springer, vol. 296(1), pages 591-614, January.
    2. Mazumder, Sharif & Rao, Ramesh, 2023. "Social trust and the choice between bank debt and public debt: Evidence from international data," Journal of Multinational Financial Management, Elsevier, vol. 67(C).
    3. Ben-Nasr, Hamdi & Bouslimi, Lobna & Ebrahim, M. Shahid & Zhong, Rui, 2020. "Political uncertainty and the choice of debt sources," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    4. Samar Ashour & David A. Rakowski & Salil K. Sarkar, 2019. "U.S. presidential cycles and the foreign exchange market," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 523-540, October.
    5. Akihiro Yamada & Kento Fujita, 2022. "Impact of Parent Companies and Multiple Large Shareholders on Audit Fees in Stakeholder-Oriented Corporate Governance," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    6. Fink, Alexander & Stahl, Jörg R., 2020. "The value of international political connections: Evidence from Trump's 2016 surprise election," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 691-700.
    7. Li, Jie & Wang, Lidan & Zhou, Zhong-Qiang & Zhang, Yongjie, 2021. "Monitoring or tunneling? Information interaction among large shareholders and the crash risk of the stock price," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    8. Ugur, Mehmet & Solomon, Edna & Zeynalov, Ayaz, 2022. "Leverage, competition and financial distress hazard: Implications for capital structure in the presence of agency costs," Economic Modelling, Elsevier, vol. 108(C).
    9. Ouyang, Puman & Zhong, Ligang, 2023. "Asset redeployability and dividend payout policy," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 91-105.
    10. Ben-Nasr, Hamdi, 2019. "Do unemployment benefits affect the choice of debt source?11I would like to acknowledge the financial support from Qatar University, QUUG-CBE-DFE-17/18-6," Journal of Corporate Finance, Elsevier, vol. 56(C), pages 88-107.
    11. Agarwal, Anushka & Chaudhry, Neeru, 2022. "Foreign controlling shareholders and corporate investment," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    12. Hasan, Mostafa Monzur, 2022. "Corporate culture and bank debt," Finance Research Letters, Elsevier, vol. 49(C).
    13. Youngsoo Kim & Jung Chul Park, 2022. "Presidential power and stock returns," Financial Management, Financial Management Association International, vol. 51(2), pages 455-499, June.
    14. Samar Ashour & David Rakowski & Salil K. Sarkar, 2021. "Currency risk exposure and the presidential effect in stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(3), pages 469-485, July.
    15. Natalya Zelenyuk & Robert Faff & Shams Pathan, 2021. "The impact of voluntary capital adequacy disclosure on bank lending and liquidity creation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 3915-3935, September.
    16. Liu, Hang & Luo, Jin-hui & Wang, Xin, 2021. "Do controlling shareholders expropriate employees? Evidence from workplace fatalities in China," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    17. Newton, David P. & Ongena, Steven & Xie, Ru & Zhao, Binru, 2022. "Banks vs. markets: Are banks more effective in facilitating sustainability?," BOFIT Discussion Papers 5/2022, Bank of Finland Institute for Emerging Economies (BOFIT).
    18. Hsiao, Ching-Yuan & Shiu, Yung-Ming, 2021. "Group firms’ access to internal capital markets: The contingent roles of group resources and affiliates’ financial weakness," Economic Modelling, Elsevier, vol. 96(C), pages 135-156.
    19. Ricardo Rodrigues & J. Augusto Felício & Pedro Verga Matos, 2020. "Corporate Governance and Dividend Policy in the Presence of Controlling Shareholders," JRFM, MDPI, vol. 13(8), pages 1-15, July.
    20. Dawood Ashraf & Mohsin Khawaja & M. Ishaq Bhatti, 2022. "Raising capital amid economic policy uncertainty: an empirical investigation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-32, December.

    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:wsi:ijfexx:v:05:y:2018:i:02:n:s2424786318500111. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/worldscinet/ijfe .

    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.