Reactive Publishing 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 datasets Working with ERP data models and financial dimensions Joining actuals, budgets, and forecasts for comparative analysis Handling time-based data for monthly, quarterly, and rolling periods Building reusable query patterns for financial reporting Managing data quality and consistency across planning systems The 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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