Data-Driven Decision-Making for Enhanced Program Management

Authors

  • Venkata Reddy Thummala Visvesvaraya Technological University (VTU), Belgaum, Karnataka, INDIA.
  • Dr. Shruti Saxena Assistant Professor, Savitribai Phule Pune University, Pune, INDIA.

Keywords:

Data-driven decision-making, program management, data analytics, predictive analytics, real-time dashboards, data governance, risk management, stakeholder satisfaction, machine learning, operational efficiency

Abstract

Data-driven decision-making has emerged as a cornerstone for effective program management, enabling organizations to optimize resource allocation, improve operational efficiency, and achieve strategic goals. This paper explores the integration of data analytics into program management to enhance decision-making processes and outcomes. By leveraging structured and unstructured data, program managers can gain actionable insights into project performance, risks, and stakeholder dynamics. The use of advanced technologies such as predictive analytics, machine learning, and visualization tools transforms raw data into meaningful patterns and trends, guiding informed decisions. Key aspects covered include the role of data governance and quality in ensuring reliable insights, the application of real-time dashboards for monitoring progress, and the importance of fostering a data-driven culture within teams. The challenges associated with data privacy, integration across diverse systems, and resistance to change are also discussed, with proposed strategies to mitigate these barriers. The study highlights real-world case examples where data-driven approaches have significantly improved program delivery timelines, cost efficiency, and stakeholder satisfaction. Emphasis is placed on the continuous feedback loop facilitated by data analytics, which allows for agile adjustments to plans and proactive risk management. Ultimately, the findings suggest that embedding data-driven methodologies in program management enhances decision accuracy and adaptability, creating a competitive edge for organizations. This abstract sets the stage for a deeper discussion on best practices, tools, and frameworks to harness the full potential of data for program management excellence.

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2024-11-30

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Thummala, V. R., & Saxena, S. (2024). Data-Driven Decision-Making for Enhanced Program Management. Integrated Journal for Research in Arts and Humanities, 4(6), 427–443. Retrieved from https://ijrah.com/index.php/ijrah/article/view/665

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Vol. 4 No. 6 (2024): November Issue

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