Data Studio Tool

The tool offers a robust calculation core designed to derive metrics for dashboards in data studio-like environments. It accepts a dataset reference, a metric name, and structured field mappings to compute derived values such as conversion rates, moving averages, and normalized scores. Conceptually, users define how fields relate, specify aggregations, and apply conditional logic to produce a single metric output that can feed dashboards and reports. It emphasizes deterministic results, clear input contracts, and a consistent interpretation of units and time windows. Beneficiaries include data analysts, BI engineers, marketing analysts, and product managers who need repeatable, auditable metrics across cohorts and timeframes. Unique value emerges from a centralized calculation core that supports both simple arithmetic and advanced patterns, such as IF-based branching, moving-average windows, and percent-change calculations, without requiring custom scripting. Core features include: explicit input mappings, a formula engine with common aggregations, time-window support, conditional logic, and robust error handling. Use cases cover dashboard metric definitions, cross-report consistency, conversion rate tracking, and scenario analysis. The tool integrates with a larger BI workflow by exposing a clean metric name and outputs that can be consumed by data sources or export pipelines. Its differentiators are deterministic evaluation, explicit data-type handling, and the ability to define complex metrics in a portable, reusable format that aligns with governance and versioning practices.