In this quick demo, we walk through the Operational Analytics Configuration application and how it helps organizations standardize anomaly detection and automate operational reporting workflows. Built on Snowflake and Streamlit, the application provides centralized control over the business rules that power KPI dashboards, operational analytics, and reporting experiences.
You’ll see how administrators can define anomaly detection thresholds for key operational metrics, configure automated email reports, manage data sources and filters, customize report formats, and schedule recurring report delivery. The application also provides interactive previews and centralized delivery management to streamline reporting administration.
By aligning analytics with business objectives and automating insight delivery, organizations can improve operational visibility, reduce manual reporting effort, and support more effective operational decision making across the enterprise.
Key Moments
00:00 Introduction
00:23 Threshold Configuration & Business Rules
00:34 Automated Reporting & Delivery Management
00:59 Improving Operational Visibility & Decision Making
01:13 Wrap-up
Topics covered
Anomaly Detection Thresholds, KPI Management, Business Rules Configuration, Automated Reporting, Email Report Delivery, Data Source Configuration, Report Filters, Report Scheduling, Operational Analytics, Snowflake, Streamlit, Operational Visibility, Decision Making
