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    Transparent Peer Review By Scholar9

    A Model-Driven Application for Streamlining Organizational Processes Using Microsoft Power Apps: Workflow Automation and Data Flow Integration

    Abstract

    This research looks into the design and realization of a model-driven application in Microsoft Power Apps for streamlining organizational processes. It brings together leave management, approval workflows, productivity tracking, task management and time logging into a single system. The software includes automated workflows that improve operational efficiency, transparency, and employee performance. The study goes over workflow and data flow structures needed to make a system efficient, detailed DFD for Data Flow Diagram tasks transform traditional manual processes — integration of business rules & Workflow Automation. The app can also integrate with your calendar, for easy access to all the responsibilities of an employee in one spot. Notifications and alerts make sure that important activity is not lost, while the reporting functionality gives managers a detailed understanding of what is going on. Automation of these processes, along with the rule based business logic which the app embeds greatly reduces manual labor and enables a standard process consistent for all employees throughout the organization. Ultimately, this project specifically addresses the root problem people have when trying to improve their operational efficiency, time management practices inside or outside of work and deliver tools tailored to provide better time data collection and alerting while supporting decisioning within the organization. The app is assessed by a research paper before the conclusion, evaluating it from the perspective of business and organizational goals.

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Shubhita

    Shubhita Tripathi

    More Detail

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    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJRAR - International Journal of Research and Analytical Reviews External Link

    Info Icon

    p-ISSN

    2349-5138

    Info Icon

    e-ISSN

    2348-1269

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