Financial Data Quality Platform for Modern Investment Management
The Aquata® data platform embeds data quality management into every step of ingestion and transformation. The programmatic framework detects exceptions across every stage of transformation, and flags violations to ensure uncompromising data integrity downstream. Users leverage no-code tools for simple rule authoring and data editing to create, maintain, and iterate for customizable and self-serviceable data oversight across capital markets.
Data Quality Framework for Clean Ingestion
The data quality framework ensures raw information from external sources flows cleanly through pipelines and connectors at every phase of ingestion and data preparation. The Aquata platform enables automated checks of incoming data against predefined quality standards across all six dimensions: completeness, accuracy, uniqueness, validity, consistency, and timeliness. This automation enables thorough cleansing of structured and unstructured documents by elegantly embedding validation rules into processing workflows for data in programmatic feeds, system integrations, PDFs, research reports, and regulatory filings.
These data quality automation tools power proactive data cleansing and validation to detect and resolve inconsistencies, missing values, duplicates, and erroneous data.
Data Health Monitoring and Exception Management
For intraday oversight and data integrity, Aquata comes with a full exception-management workflow and data-quality analytics dashboards. View all anomalies and potentially adverse events in the dashboard and identify trends over time including time to close and the consistency of data quality from individual sources.
Data Editor provides auditable, governed access directly into the Aquata data tables. Manage data health by resolving discrepancies directly in the dataset, while retaining full audit trails for each change implemented.
Aquata’s data quality and cleansing framework for defining, running, and resolving exceptions allows firms to ensure best-in-class data quality from the outset.
