Take vigilance upstream.

Utilize industry-leading software to identify potential issues before your loans close. Monitor and mitigate risks across the entire lending process. Our trusted experts will help you streamline compliance workflows and reduce information-management costs, matching you with a streamlined package of modular solutions to meet your needs and budget.

Relevant solutions

CRA Wiz®

CRA Wiz® SaaS is designed to speed up your preparation of data for CRA reviews by scrubbing and correcting data and reporting the results.
Visit Solution

Fair Lending Wiz®

Fair Lending Wiz® is designed to provide robust analysis that allows you to easily identify potential risks and immediately take corrective action to remedy unfair lending practices.
Visit Solution

HMDA Wiz®

Simplify HMDA reporting, collection and analysis with HMDA Wiz®.
Visit Solution

1071 Small Biz Wiz®

Satisfy Section 1071 of the Dodd-Frank Act's data collection, reporting, and analysis requirements.
Visit Solution

Frequently asked questions

  • How do CRA, HMDA, Fair Lending, and Section 1071 analytics work together?
    CRA, HMDA, Fair Lending, and Section 1071 analytics rely on many of the same lending, demographic, geographic, and borrower data elements. Integrated analytics help compliance teams monitor regulatory obligations across programs, identify potential risk patterns, improve data consistency, streamline reporting processes, and gain a more complete view of lending performance and regulatory exposure.
  • What risk and data analytics capabilities do financial institutions need for compliance?
    Financial institutions need risk and data analytics capabilities that provide visibility into regulatory reporting, lending performance, data quality, fair lending risk, and compliance trends. Effective analytics solutions help organizations identify exceptions, monitor key compliance metrics, validate regulatory data, analyze lending patterns, and generate actionable insights for CRA, HMDA, Fair Lending, and Section 1071 programs.
  • How can analytics improve fair lending oversight?
    Analytics help institutions identify potential fair lending risks by monitoring lending outcomes, pricing decisions, underwriting results, approval rates, and geographic lending patterns. By detecting anomalies and disparities earlier, compliance teams can investigate potential concerns proactively, support risk assessments, and strengthen compliance oversight.
  • How can analytics improve regulatory exam readiness?
    Analytics improve exam readiness by providing accurate reporting, documented risk indicators, trend analysis, and evidence of ongoing compliance monitoring. Institutions that use analytics to validate data, resolve exceptions, and monitor performance can respond more effectively to examiner requests and demonstrate stronger compliance governance and controls.
  • Why is data quality critical for compliance analytics?
    Compliance analytics are only as reliable as the data behind them. High-quality data supports accurate CRA, HMDA, Fair Lending, and Section 1071 reporting, while reducing the risk of reporting errors, examination findings, and compliance gaps. Data validation, governance, and ongoing quality monitoring are essential components of an effective compliance analytics strategy.
  • How can analytics help identify regulatory reporting risk?
    Analytics can help identify regulatory reporting risk by highlighting missing information, inconsistent data values, unusual trends, outliers, and potential filing errors before submissions occur. Automated monitoring and exception management allow institutions to address issues earlier, improve reporting accuracy, and reduce regulatory risk.

Contact us

Back To Top