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The Role of Financial Data Analytcis in Driving Strategic Decision in Asset Management Firms

In: Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026)

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  • James Midgley

    (Durham University)

Abstract

This essay examines how financial data analytics shapes strategic decision-making in asset management firms, with a focus on risk management and governance. It reviews how integrated analytics platforms and machine-learning tools support portfolio construction, real-time exposure monitoring, scenario analysis, and faster decision cycles, improving visibility over market, liquidity, and factor risks. At the same time, it highlights the limitations that can reduce strategic effectiveness, including data quality issues, model risk and overfitting during regime shifts, and the interpretability challenges of “black-box” models. The essay argues that analytics delivers sustainable strategic value only when embedded within robust governance frameworks that ensure transparency, accountability, and disciplined human oversight - particularly as ESG metrics and alternative data become more central to investment processes.

Suggested Citation

  • James Midgley, 2026. "The Role of Financial Data Analytcis in Driving Strategic Decision in Asset Management Firms," Advances in Economics, Business and Management Research, in: Xiongfeng Pan & Huaping Sun & Abdul Rauf & Md Rabiul Islam & Liew Chee Yoong (ed.), Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026), pages 914-920, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-642-5_95
    DOI: 10.2991/978-94-6239-642-5_95
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