OMB Individually Reported
Regulatory Data Analysis
Low riskExact public inventory row
Description
Identify potential reporting anomalies by comparing current submitted values against expected ranges based on historical patterns
Detailed example
Values for various predicted percentile levels for a given reporter are provided to an analyst to compare to current reported values
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Improved data quality for stakeholders
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Internal – Firm Data