OMB Individually Reported
Enhancing Analysis of SEC Web Engagement Trends Using AI
Low riskExact public inventory row
Description
Manual analysis of Google Analytics data is time-consuming and limits the ability to identify trends across multiple SEC.gov pages.
Detailed example
Dashboards or reports summarizing traffic sources, engagement trends, and content performance.
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
Faster, more accurate insights into how the public engages with SEC content, enabling more effective outreach and communication strategies.
Controls / human review
ATO: Not reported; PIA: Not published