Automate data cleansing, reconciliation and aggregation typically done in spreadsheets
Run simulations and quality checks earlier and more frequently to identify emerging risks intra-cycle
Provide clear data lineage and computation documentation for improved audit trails
Automate data updates, cleansing, and calculations. Using Modelshop, the need to duplicate work between timeframes is significantly reduced which frees up valuable analyst resources
Validate Data Quality
A powerful calculation engine and integrated libraries enable analysts to perform advanced analytics to identify statistical and reconciliation based data anomalies that indicate risk.
Improve reporting workflows using flexible data models, interactive APIs and a powerful logic engine allowing analysts to create scalable and repeatable models.
Run projections and simulate business decisions by incorporating a full scope of realistic scenarios. Analysts can then optimize strategies for best results.