Stay informed about DataMetrics product updates, improvements, and resolved issues.
DataMetrics Release Notes provides a central, month-by-month view of customer-facing improvements, new features, and resolved issues, so customers can easily follow how the platform evolves over time.
DM 3.1 strengthens the platform behind the scenes: core data services now run on a private network architecture, ETL processing has been rebuilt in Python for better performance and maintainability, and a new in-house ingestion framework now powers all wholesale client data connections.
A new Amazon seller (ASP) integration brings seller performance data into DataMetrics and powers an FBA inventory tiering engine for lenders. Precomputed product attributes—such as sell-through rate, Buy Box status, ad spend, and review score—enable on-the-fly adjustments to the daily borrowing base.
The initial release of our lender onboarding workflow streamlines how implementations are set up and supported, making it easier to manage client data-file updates from initial onboarding through ongoing support and helping new lender clients go live faster.
DataMetrics Blueprint modernized the analytics experience with flexible dashboard filters, global filters that carry across dashboards, and simpler exports. It also delivered faster, more frequent data processing and expanded user-defined SKU and order fields for more tailored client data models.