SQL for Budgeting and Forecasting Querying ERP and Planning Data

SQL has become a core tool in modern finance functions, particularly in environments where budgeting, forecasting, and ERP systems generate large volumes of structured data. This book focuses on how SQL can be applied to access, organize, and analyze planning data used in financial operations.
SQL for Budgeting and Forecasting introduces practical approaches for working with ERP and planning datasets, including budget tables, forecast versions, actuals, and dimensional structures such as departments, cost centers, and time hierarchies. The book emphasizes clarity in query design and consistency in financial data handling.
Topics covered include:Structuring queries for budget and forecast datasetsWorking with ERP data models and financial dimensionsJoining actuals, budgets, and forecasts for comparative analysisHandling time-based data for monthly, quarterly, and rolling periodsBuilding reusable query patterns for financial reportingManaging data quality and consistency across planning systemsThe examples are designed to reflect common finance workflows, focusing on readability and maintainability rather than system-specific implementations. SQL syntax is presented in a generalized format that can be adapted across major database platforms.
This book is intended for analysts and finance professionals who work with financial data and want to better understand how SQL supports planning and reporting processes.

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