TFAS Viewer

TFAS Viewer renders TFAS datasets for quick inspection and validation. It processes large data streams without altering source data, enabling auditable checks across time ranges and metrics. Analysts can filter by fields, compare cohorts, and surface anomalies using multiple views. The tool emphasizes reproducibility, fast access, and scalable handling of dataset sizes common in TFAS workflows.
Conceptually it ingests records, normalizes to a common schema, applies time-based filters, and computes lightweight aggregates such as totals and counts. It supports timeline, matrix, and summary views to reveal trends, outliers, and cross metric relationships. The read-only design preserves data integrity while enabling efficient exploration and reporting.
Target users include data analysts, QA engineers, and compliance auditors who need reliable visibility into TFAS data without risk of manipulation. Its value lies in non-destructive exploration, consistent filtering, and ease of exporting summaries for dashboards and audits. Core features include data ingestion, field normalization, filters, time range slicing, multiple view modes, and export options for summaries or filtered subsets. Typical use cases cover data quality checks, regression verification, and cross period comparisons, supporting decision making with auditable, reproducible views.