Data DirectAI-Ready Data, Delivered Into Your Existing Architecture
Built for Modern Analytics and AI Workflows
Designed to Integrate, Not Disrupt
Institutional-Grade Data You Can Trust
Standardized, Validated Loan-Level Data—Without the Operational Burden
Most teams don’t struggle with analysis—they struggle with ingestion, normalization, and ongoing data maintenance. Data Direct removes that burden by delivering dv01’s institutional-grade, AI-ready loan-level data directly into your environment, fully standardized and continuously maintained by dv01.
Flexible Delivery, One Standardized Dataset
Easily connect to dv01’s standardized datasets through your preferred channel—Snowflake Data Share, SQL, SFTP, or others—to support portfolio reporting, risk modeling, and analytics pipelines. Data Direct integrates directly into your ecosystem, providing fast, secure, and reliable access to loan-level data.
For teams without an existing data warehouse, dv01 can support access through a managed BigQuery environment designed for terabyte-scale analytical workloads.
Institutional-Grade, AI-Ready Data—Maintained by dv01
dv01 continuously validates, verifies, and maintains loan-level data across asset classes—ensuring consistency and long-term reliability. Clean schemas, stable field definitions, and centralized change management ensure the data can be confidently used across analytics, reporting, automation, and AI-driven workflows.
A Consistent Data Foundation Across Your Workflow
Data Direct enables multiple teams and use cases to operate on the same underlying loan-level data—supporting analysis, reporting, and transaction workflows without reformatting or reconciliation as data moves across the organization.
Enable Advanced Analysis and Reporting
dv01’s AI-ready, loan-level datasets support analytical and decision-making workflows across modern data environments. Data can be integrated into an existing architecture or accessed via a managed BigQuery environment designed for large-scale analytical workloads.
Diligence & Market Entry
Support entry into the consumer unsecured asset class with anonymized, comprehensive, platform-level datasets that reflect full-funnel originations—not just securitized collateral. Evaluate underwriting standards, credit profiles, and performance dispersion across lenders to inform investment decisions, increase confidence in asset evaluation, and accelerate diligence workflows for new strategies or counterparties.
Performance Analysis
Benchmark origination, credit, and performance trends across leading consumer unsecured lenders. Compare platform-level KPIs such as delinquency, prepayment, and loss rates to evaluate relative performance and market positioning using AI-ready, loan-level data.
Quantitative and Risk Modeling
Train and validate machine learning and credit risk models with clean, structured datasets built for large-scale analytics. Use consistent, historical loan-level data to power predictive modeling of delinquency, default, prepayment, and loss severity—enabling scalable and repeatable AI workflows directly within Snowflake.
Market and Investor Research
Support portfolio optimization, capital allocation, and macro-credit analysis through benchmark data enriched with borrower credit attributes and performance trends. Identify emerging credit patterns, assess underwriting changes, and detect early indicators of credit stress using datasets designed for AI and quantitative exploration.
Data Quality and Benchmarking
Leverage validated, normalized datasets standardized across lenders and vintages—ensuring immediate usability for AI, ML, and quantitative frameworks. dv01’s consistent schema and field definitions enable seamless data fusion, feature engineering, and cross-asset benchmarking across the consumer credit ecosystem.
