Conceptualizing Data Driven Executive Decision Systems for Strategic Financial Planning

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@article{1713361,
      author = {Oluwaremi Ayoka Lawal, Titilayo Elizabeth Oduleye},
      title = {Conceptualizing Data Driven Executive Decision Systems for Strategic Financial Planning},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {3},
      pages = {370-385},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713361.pdf},
      abstract = {In an era defined by volatile markets and data proliferation, executive decision-making increasingly depends on data-driven systems that integrate financial analytics with strategic foresight. This review explores the conceptual foundations, architectures, and analytical mechanisms underpinning Data-Driven Executive Decision Systems (DDEDS) for strategic financial planning. It synthesizes current research and practice in predictive analytics, business intelligence, and cognitive computing, emphasizing how these technologies enhance top-level financial judgments under uncertainty. The paper examines the transition from descriptive to prescriptive financial analytics, focusing on decision automation, risk-adjusted modeling, and dynamic scenario forecasting. It also highlights the interplay between data governance, model interpretability, and organizational agility, illustrating how advanced systems transform traditional budgeting and forecasting into adaptive, insight-driven processes. The review further investigates how real-time dashboards and AI-enabled simulation tools empower executives to align capital allocation, investment diversification, and liquidity management with long-term corporate strategy. By consolidating perspectives from finance, information systems, and management science, this study provides a conceptual framework for implementing DDEDS as an enabler of strategic financial resilience. The paper concludes by identifying challenges in model reliability, ethical data use, and cross-domain integration, proposing future research pathways toward explainable, accountable, and sustainable decision systems for executive financial planning.},
      keywords = {Data-Driven Decision Systems, Strategic Financial Planning, Predictive Analytics, Executive Intelligence, Decision Support Frameworks, Financial Risk Modeling.},
      month = {September},
  }