Periscope Data Tool

The Periscope Data Tool provides a no-code, multi-field query engine that enables analysts to define datasets, metrics, and filters without writing SQL. It connects to configured data sources, applies time ranges, supports relative and absolute ranges, handles missing data gracefully, and returns structured results that support quick hypothesis testing, scenario comparison, and planning. The core logic maps user inputs to an executable query plan, including aggregations and groupings, applies data quality checks, and preserves an auditable record of the steps taken for reproducibility and governance.

Conceptually, users select a data source, specify a time window using relative like last 30 days or fixed start-end, pick metrics, and attach filters and groupings. The tool constructs a query plan that applies aggregations like sum, average, min, max, and distinct counts, performs time bucketing with configurable intervals, and returns a tabular result along with summary statistics and basic profiling metrics. Outputs are designed for reproducibility and auditability, enabling analysts to rerun analyses with different inputs, compare scenarios side-by-side, and share exact results with teammates.

Beneficiaries include data analysts, product managers, business intelligence engineers, marketing analysts, and operations teams who need to test ideas, compare scenarios, monitor performance over time, or validate experiments. Unique value arises from a structured, no-code workflow that reduces dependency on SQL, creates reusable configurations, and provides data profiling, basic anomaly hints, and export-ready artifacts. Core features include multi-field queries, computed metrics, data source connectors, exports in CSV/JSON, and audit-ready histories for collaboration, governance, and traceability.