A Conceptual Framework for Data-Driven Treasury Optimization and Operational Efficiency in Multinationals

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@article{1712142,
      author = {Omolara Adeyoyin, Esther Nkem Awanye, Obiajulu Obiora Morah, Lovelyn Ekpedo},
      title = {A Conceptual Framework for Data-Driven Treasury Optimization and Operational Efficiency in Multinationals},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {5},
      pages = {328-344},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712142.pdf},
      abstract = {Globalization and digital transformation have reshaped the financial landscape of multinational corporations (MNCs), demanding data-driven strategies for efficient treasury operations. Traditional treasury management models?reliant on static reporting, manual cash forecasting, and fragmented banking systems?struggle to meet modern demands for agility, risk transparency, and real-time decision-making. This review proposes a conceptual framework for data-driven treasury optimization that integrates predictive analytics, artificial intelligence, and centralized data architectures to improve liquidity management, capital allocation, and operational efficiency across subsidiaries. The framework emphasizes three core dimensions: (1) data integration and governance, which ensure consistency and visibility across multi-currency and multi-jurisdictional environments; (2) analytical intelligence, leveraging machine learning for cash forecasting, currency hedging, and working capital optimization; and (3) process automation, deploying robotic process automation (RPA) and API-driven connectivity for straight-through processing and compliance monitoring. Through a systematic synthesis of current treasury digitalization practices and case examples, the study highlights how data-centric transformation reduces financial risk, enhances decision accuracy, and supports sustainable growth in multinational operations. The conceptual framework offers a roadmap for CFOs and treasurers to align digital treasury strategy with enterprise-wide performance optimization, regulatory alignment, and value creation in a volatile global economy.},
      keywords = {Data-Driven Treasury, Predictive Analytics, Operational Efficiency, Multinational Corporations, Treasury Optimization, Financial Risk Management.},
      month = {November},
  }