Gopichand Mannava

Predictive Workforce Overtime Forecasting in Government: A Machine Learning Architecture for Job-Classification Seasonal Modeling, Leave-Backfill Prediction, and ERP Budget Alert Integration

Overtime expenditure is a persistent and volatile component of government personnel budgets, driven by seasonal demand, unplanned leave, and staffing shortfalls that are difficult to anticipate with traditional budgeting methods. This paper presents a machine learning architectur...

Longitudinal Usage Analytics for Government Business Intelligence: A 22-Year Empirical Study of User Adoption, Query Consumption Growth, and Value Realization Patterns

Government business intelligence (BI) platforms represent long-lived capital investments whose value accrues over decades rather than fiscal quarters, yet empirical evidence on their long-run adoption and consumption dynamics remains scarce. This study presents a 22-year (2003–20...

Integrated Municipal Fiscal Health Monitoring and Budget Submission Architecture: A System Design for Automated Compliance Alerting and Central Government Oversight

Central governments overseeing large numbers of municipalities face a persistent tension between local budgetary autonomy and the need for timely fiscal oversight. Manual review of municipal budget submissions is slow, inconsistent, and unable to detect emerging distress before i...