SAS (Forecasting, predictive analytics, data/statistical analysis)
Description
Forecasting market conditions using various data sources for economic analyses.
Detailed example
predictive model outputs statistical analysis natural language processing text analytics forecasting predictions optimization recommendations risk analysis scores anomaly detection customer segmentation groupings decision tree analysis paths
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Provides ATR with the ability to analyze, summarize, synthesize, and manage various data sources and data formats to support economic and statistical analysis of corporation and market conditions. ATR relies heavily on data analytical tools to support micro - and macro-level analysis.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Not reported; PIA: Not published