Signals
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Inputs
Fabric Metrics & Dimensions
Governed metrics, dimensions, contracts
Warehouses & Lakes
Snowflake, BigQuery, Redshift
External Events
Product telemetry, transaction logs, 3rd party
Business Calendar
Workdays, holidays, earnings cycles
Define (Definition & Contracts)
KPI Catalog
Metrics inventory & classification
Metric Contracts
Definitions & thresholds
Owners & Calendars
Owners & SLAs
Dimension Guards
Access control
Detect (Detection)
AI
Anomaly Engine
Seasonal & trend detection
Change Monitor
Version & config changes
AI
Root-cause Hints
Dimension breakdown & correlation
Signal Store
Standardized signal events
Forecast (Forecasting & Scenarios)
AI
Forecast Library
ETS,SARIMAX,GBM
Scenario Simulator
Price & volume sensitivity
Accuracy Tracker
Backtest error assessment
Forecast Store
Forecast trajectories & intervals
Recommend (Recommendations & Playbooks)
Playbook Rules
Configurable rules
AI
Policy-aware Ranker
Historical effectiveness ranking
AI
Recommendation Engine
Actionable recommendations
Approvals
Human review & approval
Act & Learn (Execution & Learning)
Action Hub
Slack•Teams•Jira
Studio Triggers
Workflow triggers
Outcome Logger
Record business outcomes
AI
Feedback Loop
Closed-loop learning
Channels
Slack / Teams
Jira / ServiceNow
Salesforce / HubSpot
Email / SMS
BI & Dashboards
Studio Workflows
Safety & Governance (Guard)
Access Control
Row & column level access
Privacy & Redaction
PII processing
Policy Enforcement
Recommendation validation
Audit Logs
End-to-end logging
Observability & ModelOps
Traces & Costs
Throughput, latency & cost
Backtests
Forecast backtest evaluation
Quality Gates
False positive/negative thresholds
Drift Monitor
Data & concept drift
Experiment Manager
A/B testing & experiments
Signals turns governed KPIs into timely guidance through a pipeline of define, detect, forecast, recommend, and act with learning. Guard enforces policy end to end and ModelOps ensures quality and cost control.
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