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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
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    References listed on IDEAS

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    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.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Shrutika Mishra & A R Tripathi & R S Singh & Priyanshu Mishra, 2024. "Comparative Analysis of Digital Business Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6666-6705, June.

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