RETIRED - Please see Cuneiform for Salesforce (Pro) listing

ENSURE DATA IS RELIABLE FOR INTENDED PURPOSE Data Reliability KPIs combine data quality and business outcome checks across processes, process owners, and data stewards to uphold data integrity, reliability, and relevance to business objectives.

RESTORE TRUST IN CRM DATA Automatically detect data anomalies and inaccuracies that erode trust among business leaders. Identify signs of missing records indicating potential process gaps, non-adherent users, and data omissions.

IMPROVE AI MODELS WITH ACCURATE DATA Identify the most predictive & influential fields for predictive or generative AI use cases. Improve AI outcomes by integrating data reliability insights into Einstein processes.

FOCUS ON DATA THAT MATTERS Separate meaningful signals from noise in your data to identify predictive fields. Use comparative profiles to uncover hidden patterns and specific fields/values that indicate higher success rates in given business scenarios.

QUANTIFY BUSINESS RISK EXPOSURE OF BAD DATA Score data reliability against specific business goals and scenarios. Automatically monitor changes in data reliability & impact on business results.

DATA QUALITY SAFEGUARDS FOR AI YOU CAN TRUST Don’t let outliers and null values skew predictive models or prompt responses. Use Data Reliability KPIs to inform AI processes and warn users when AI results may be unreliable due to poor data quality.

CONTINUOUS BUSINESS DATA QUALITY Shift left data quality work. Automated profiling ensures the reliability & integrity data as architecture & business processes evolve. Proactively fix data issues impacting business performance & optimize data processes.