Who should use the Performance Monitoring workflow?
Teams or solo builders working on data tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Data
A streamlined workflow for monitoring system or application performance, from data quality checks through final delivery of a validated performance report and dashboard.
Deliverable outcome
An updated monitoring workflow that is more aligned with current needs and data quality standards.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
An updated monitoring workflow that is more aligned with current needs and data quality standards.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Sana AI to a documented kpi framework with approved data sources and threshold definitions. Then, you pass the output to Anomalo to clean, validated data ready for analysis, with a data quality report attached. Then, you pass the output to InfluxDB to a computed kpi dataset with anomaly flags and preliminary root cause correlations. Then, you pass the output to InfluxDB to a validated, interactive dashboard that accurately reflects performance metrics and anomalies. Then, you pass the output to Intuit Mailchimp to a finalized performance report delivered to stakeholders with all supporting evidence. Finally, BMC Helix ITSM is used to an updated monitoring workflow that is more aligned with current needs and data quality standards.
Define Key Performance Indicators (KPIs) and Data Sources
A documented KPI framework with approved data sources and threshold definitions.
Ingest and Validate Data Quality
Clean, validated data ready for analysis, with a data quality report attached.
Compute Performance Metrics and Detect Anomalies
A computed KPI dataset with anomaly flags and preliminary root cause correlations.
Build and Validate the Performance Dashboard
A validated, interactive dashboard that accurately reflects performance metrics and anomalies.
Generate and Distribute the Performance Report
A finalized performance report delivered to stakeholders with all supporting evidence.
Review and Iterate Monitoring Setup
An updated monitoring workflow that is more aligned with current needs and data quality standards.
Collaborate with stakeholders to identify critical performance metrics (e.g., response time, throughput, error rate) and map them to available data sources (APIs, logs, metrics endpoints). Document thresholds for alerts and baseline values.
Why Sana AI: Sana AI can retrieve enterprise knowledge from connected sources (like Confluence and meeting notes) and summarize action items, directly supporting KPI definition and data source inventory.
Configure data ingestion pipelines to pull metrics from defined sources, then run automated checks for completeness, timeliness, and accuracy. Flag missing or malformed data for remediation before analysis.
Why Anomalo: Anomalo specializes in data quality monitoring, anomaly detection, and data validation, directly matching the needs for validating data quality.
Aggregate raw data into the defined KPIs (e.g., average latency, error rate) using time-series calculations. Apply statistical methods (e.g., moving averages, z-scores) to identify anomalies and trends.
Why InfluxDB: InfluxDB offers real-time anomaly detection, time-series forecasting, and data visualization, directly addressing the need for computing metrics and detecting anomalies.
Design a dashboard that visualizes KPIs, anomalies, and trends in real-time. Validate the dashboard by comparing its outputs against manual calculations or historical reports to ensure accuracy.
Why InfluxDB: InfluxDB includes data visualization and monitoring capabilities, which can be used to build performance dashboards similar to Grafana or Kibana.
Compile a structured report summarizing key findings, anomaly incidents, and trend analysis. Include data quality scores and recommendations. Distribute via email or a shared portal with scheduled refresh.
Why Intuit Mailchimp: Intuit Mailchimp provides email campaign orchestration and multi-channel journey automation, directly supporting report distribution via email.
Conduct a retrospective with stakeholders to assess the effectiveness of the monitoring workflow. Adjust KPIs, thresholds, and data sources based on feedback and evolving requirements.
Why BMC Helix ITSM: BMC Helix ITSM includes change management and incident management, directly supporting change management logs and version control for monitoring configurations.
§ Before you start
Teams or solo builders working on data tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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