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Analytics & BI Workflows

Version: 1.0.0 Status: Production Last Updated: December 28, 2025 Category: Analytics & Business Intelligence


Workflow Overview

This document provides a comprehensive library of analytics and business intelligence H.P.006-WORKFLOWS for the CODITECT platform. These H.P.006-WORKFLOWS cover dashboard creation, KPI tracking, automated reporting, data visualization, and business analytics automation. Each workflow includes detailed phase breakdowns, inputs/outputs, and success criteria to ensure reliable analytics operations.


Inputs

InputTypeRequiredDescription
data_sourceobjectYesData source connection H.P.009-CONFIGuration
metrics_definitionarrayYesKPI and metric definitions
visualization_H.P.009-CONFIGobjectNoChart types and visual specifications
schedulestringNoReport distribution schedule
recipientsarrayNoReport recipients and channels
filter_criteriaobjectNoData filtering and segmentation rules

Outputs

OutputTypeDescription
dashboard_idstringUnique identifier for dashboard
report_urlstringLink to generated report
metrics_snapshotobjectCurrent values of tracked metrics
visualizationsarrayGenerated chart/graph objects
insightsarrayAI-generated insights from data
distribution_statusobjectReport distribution confirmation

Phase 1: Data Preparation & Metrics Definition

Initial phase prepares data and defines metrics:

  1. Data Source Connection - Connect to data warehouse/lake
  2. Semantic Layer Setup - Define business-friendly data model
  3. Metrics Definition - Define KPIs and calculated metrics
  4. Data Validation - Validate data quality for analytics
  5. Access Control - Configure row/column level security

Phase 2: Visualization & Dashboard Creation

Core phase creates visualizations and dashboards:

  1. Chart Selection - Choose appropriate visualization types
  2. Dashboard Layout - Design dashboard structure
  3. Interactive Elements - Add filters and drill-downs
  4. Performance Optimization - Optimize query performance
  5. Review & Refinement - Stakeholder review and refinement

Phase 3: Distribution & Monitoring

Final phase distributes reports and monitors usage:

  1. Schedule Configuration - Set up automated distribution
  2. Alert Configuration - Define threshold-based alerts
  3. Distribution - Send to H.P.009-CONFIGured recipients
  4. Usage Tracking - Monitor dashboard/report usage
  5. Feedback Collection - Gather stakeholder feedback

Analytics & BI Workflow Library

1. dashboard-creation-workflow

  • Description: Create interactive dashboards with KPI visualization
  • Trigger: /create-dashboard or manual
  • Complexity: moderate
  • Duration: 30m-2h
  • QA Integration: validation: required, review: required
  • Dependencies:
    • Agents: data-analyst, bi-developer
    • Commands: /create-dashboard, /add-visualization
  • Steps:
    1. Requirements gathering - data-analyst - Define dashboard purpose
    2. Data modeling - bi-developer - Create semantic model
    3. Chart creation - bi-developer - Build visualizations
    4. Dashboard assembly - bi-developer - Compose dashboard
    5. Stakeholder review - data-analyst - Review and refine
  • Tags: [analytics, dashboard, visualization, bi]

2. kpi-tracking-workflow

  • Description: Automated KPI tracking with threshold alerts
  • Trigger: Scheduled or continuous
  • Complexity: moderate
  • Duration: Continuous
  • QA Integration: validation: required, review: recommended
  • Dependencies:
    • Agents: data-analyst, business-analyst
    • Commands: /track-kpi, /set-alert
  • Steps:
    1. KPI definition - business-analyst - Define metrics and targets
    2. Data integration - data-analyst - Connect data sources
    3. Threshold setup - business-analyst - Configure alert thresholds
    4. Monitoring activation - data-analyst - Activate continuous monitoring
    5. Alert routing - business-analyst - Configure notification channels
  • Tags: [analytics, kpi, monitoring, alerts]

3. automated-reporting-workflow

  • Description: Scheduled report generation and distribution
  • Trigger: Schedule (cron)
  • Complexity: moderate
  • Duration: 5-30m
  • QA Integration: validation: required, review: optional
  • Dependencies:
    • Agents: data-analyst, bi-developer
    • Commands: /generate-report, /distribute-report
  • Steps:
    1. Data refresh - bi-developer - Update underlying data
    2. Report generation - bi-developer - Generate report content
    3. Format rendering - bi-developer - Render to PDF/Excel/Email
    4. Quality check - data-analyst - Validate report accuracy
    5. Distribution - bi-developer - Send to recipients
  • Tags: [analytics, reporting, automation, distribution]

4. anomaly-detection-workflow

  • Description: Automated anomaly detection in business metrics
  • Trigger: Data update or schedule
  • Complexity: complex
  • Duration: 5-15m
  • QA Integration: validation: required, review: recommended
  • Dependencies:
    • Agents: data-scientist, data-analyst
    • Commands: /detect-anomaly, /investigate
  • Steps:
    1. Baseline calculation - data-scientist - Compute statistical baseline
    2. Anomaly detection - data-scientist - Run detection algorithms
    3. Significance scoring - data-scientist - Score anomaly severity
    4. Root cause analysis - data-analyst - Investigate causes
    5. Alert dispatch - data-analyst - Notify stakeholders
  • Tags: [analytics, anomaly, detection, monitoring]

5. self-service-analytics-workflow

  • Description: Enable business users with self-service analytics capabilities
  • Trigger: User request
  • Complexity: simple
  • Duration: 5-30m
  • QA Integration: validation: optional, review: optional
  • Dependencies:
    • Agents: data-analyst, bi-developer
    • Commands: /explore-data, /create-report
  • Steps:
    1. Data exploration - data-analyst - Browse available datasets
    2. Query building - data-analyst - Build analysis query
    3. Visualization - data-analyst - Create visualizations
    4. Sharing - data-analyst - Share findings with team
    5. Save/Export - data-analyst - Save for future use
  • Tags: [analytics, self-service, exploration]

Success Criteria

CriterionTargetMeasurement
Dashboard Load Time< 5sP95 load time
Report Delivery Rate>= 99.9%Successful deliveries / Scheduled
Data Freshness< 1hTime since last data refresh
User Adoption>= 80%Active users / Licensed users
Alert Accuracy>= 95%True positives / Total alerts
Query Performance< 10sP95 query execution time

Error Handling

Error TypeRecovery StrategyEscalation
Data source unavailableRetry with fallback cacheAlert data engineer
Query timeoutOptimize query or increase resourcesAlert BI developer
Report generation failureRetry with reduced scopeAlert BI developer
Distribution failureQueue for retryAlert on repeated failures
Anomaly false positiveAdjust thresholdsTune detection model


Maintainer: CODITECT Core Team Standard: CODITECT-STANDARD-WORKFLOWS v1.0.0