====== Sprint 9-A.1 — Business Intelligence Core & Data Warehouse ====== ===== Objectif ===== Construire la fondation analytique Enterprise unifiée. Cette couche permet de centraliser : CRM Properties Reservations Finance Marketing Loyalty Marketplace dans un Data Warehouse unique destiné au reporting, aux KPI et à la Business Intelligence. À l'issue de cette étape : ✓ Data Warehouse ✓ Fact Tables ✓ Dimensions ✓ ETL Pipelines ✓ KPI Engine ✓ Reporting Core ✓ Enterprise Analytics Foundation ---- ====== Architecture cible ====== Operational Systems ├── CRM ├── Property ├── Reservation ├── Finance ├── Marketing ├── Loyalty └── Marketplace ↓ ETL / ELT Layer ↓ Data Warehouse ├── Facts ├── Dimensions ├── Aggregations └── KPI Engine ↓ Reporting ↓ Executive Dashboards ---- ====== Sprint 9-A.1-A ====== ===== Data Warehouse Schema ===== ---- ====== Étape 1 — DWFactReservation ====== ===== Ajouter dans schema.prisma ===== model DWFactReservation { id String @id @default(uuid()) tenantId String reservationId String customerId String propertyId String reservationDate DateTime checkInDate DateTime checkOutDate DateTime nights Int guests Int grossRevenue Decimal @db.Decimal(14,2) netRevenue Decimal @db.Decimal(14,2) status String createdAt DateTime @default(now()) @@index([tenantId]) @@index([reservationDate]) @@index([propertyId]) @@index([customerId]) } ---- ====== Étape 2 — DWFactRevenue ====== ===== Ajouter ===== model DWFactRevenue { id String @id @default(uuid()) tenantId String revenueDate DateTime propertyId String? revenueType RevenueType amount Decimal @db.Decimal(14,2) currency String createdAt DateTime @default(now()) @@index([tenantId]) @@index([revenueDate]) @@index([revenueType]) } ---- ====== Étape 3 — DWFactMarketing ====== ===== Ajouter ===== model DWFactMarketing { id String @id @default(uuid()) tenantId String campaignId String campaignDate DateTime impressions Int opens Int clicks Int conversions Int revenueAttributed Decimal? @db.Decimal(14,2) @@index([tenantId]) @@index([campaignDate]) } ---- ====== Étape 4 — DWFactLoyalty ====== ===== Ajouter ===== model DWFactLoyalty { id String @id @default(uuid()) tenantId String customerId String transactionDate DateTime pointsEarned Int pointsRedeemed Int rewardValue Decimal? @db.Decimal(14,2) @@index([tenantId]) @@index([transactionDate]) } ---- ====== Étape 5 — DWFactReferral ====== ===== Ajouter ===== model DWFactReferral { id String @id @default(uuid()) tenantId String advocateId String referralDate DateTime referrals Int conversions Int revenueGenerated Decimal? @db.Decimal(14,2) @@index([tenantId]) @@index([referralDate]) } ---- ====== Sprint 9-A.1-B ====== ===== Dimensions ===== ---- ====== Étape 6 — DWDimDate ====== model DWDimDate { dateKey String @id fullDate DateTime day Int week Int month Int quarter Int year Int isWeekend Boolean } ---- ====== Étape 7 — DWDimCustomer ====== model DWDimCustomer { customerId String @id segment String? status String? country String? city String? customerScore Float? lifetimeValue Decimal? @db.Decimal(14,2) } ---- ====== Étape 8 — DWDimProperty ====== model DWDimProperty { propertyId String @id propertyType String? category String? city String? country String? capacity Int? propertyScore Float? } ---- ====== Étape 9 — DWDimChannel ====== model DWDimChannel { channelId String @id name String category String active Boolean } ---- ====== Étape 10 — Migration ====== npx prisma migrate dev \ --name bi_datawarehouse_core ---- ====== Sprint 9-A.1-C ====== ===== ETL Pipelines ===== ---- ====== Étape 11 — Structure ====== src/modules/analytics/etl ├── reservation-etl ├── revenue-etl ├── marketing-etl ├── loyalty-etl ├── referral-etl └── etl.module.ts ---- ====== Étape 12 — Services ====== ReservationETLService RevenueETLService MarketingETLService LoyaltyETLService ReferralETLService DataWarehouseService ---- ====== Étape 13 — Pipeline ====== Extract ↓ Transform ↓ Load ↓ Validate ↓ Aggregate ---- ====== Étape 14 — Méthodes ====== extract() transform() load() validate() rebuildWarehouse() ---- ====== Sprint 9-A.1-D ====== ===== KPI Engine ===== ---- ====== Étape 15 — KPIEntity ====== ===== Ajouter ===== model KPIEntity { id String @id @default(uuid()) tenantId String code String name String category KPICategory formula String active Boolean @default(true) createdAt DateTime @default(now()) @@unique([tenantId, code]) @@index([tenantId]) } ---- ====== Étape 16 — KPIValue ====== ===== Ajouter ===== model KPIValue { id String @id @default(uuid()) tenantId String kpiCode String periodDate DateTime value Decimal @db.Decimal(18,4) createdAt DateTime @default(now()) @@index([tenantId]) @@index([kpiCode]) } ---- ====== Étape 17 — KPIs Standards ====== Revenue Occupancy ADR RevPAR Conversion Rate Customer LTV Retention Referral Revenue Marketing ROI ---- ====== Étape 18 — KPIEngineService ====== ===== Créer ===== kpi-engine.service.ts ---- ===== Méthodes ===== calculateKPI() calculatePeriod() refreshKPIs() comparePeriods() ---- ====== Sprint 9-A.1-E ====== ===== Reporting Core ===== ---- ====== Étape 19 — ReportDefinition ====== ===== Ajouter ===== model ReportDefinition { id String @id @default(uuid()) tenantId String name String category ReportCategory configuration Json active Boolean @default(true) createdAt DateTime @default(now()) @@index([tenantId]) } ---- ====== Étape 20 — ReportExecution ====== ===== Ajouter ===== model ReportExecution { id String @id @default(uuid()) reportId String executedAt DateTime @default(now()) status ReportExecutionStatus executionTimeMs Int? fileUrl String? @@index([reportId]) } ---- ====== Étape 21 — Enums ====== enum KPICategory { FINANCE PROPERTY CUSTOMER MARKETING LOYALTY REFERRAL } enum ReportCategory { EXECUTIVE FINANCE OPERATIONS MARKETING CRM CUSTOM } enum ReportExecutionStatus { PENDING RUNNING COMPLETED FAILED } ---- ====== Étape 22 — ReportingService ====== ===== Créer ===== reporting.service.ts ---- ===== Supporter ===== PDF Excel CSV JSON ---- ====== Sprint 9-A.1-F ====== ===== Business Intelligence Module ===== ---- ====== Étape 23 — Structure ====== src/modules/business-intelligence ├── warehouse ├── etl ├── kpi ├── reporting ├── dashboards └── business-intelligence.module.ts ---- ====== Étape 24 — Services ====== DataWarehouseService KPIEngineService ReportingService DashboardService AnalyticsAggregationService ---- ====== Sprint 9-A.1-G ====== ===== Executive Reporting ===== ---- ====== Étape 25 — Dashboards ====== ===== Fournir ===== Executive Dashboard Revenue Dashboard Operations Dashboard CRM Dashboard Marketing Dashboard Growth Dashboard ---- ====== Étape 26 — Agrégations ====== ===== Calculer ===== Jour Semaine Mois Trimestre Année ---- ====== Sprint 9-A.1-H ====== ===== API BI ===== ---- ====== Étape 27 — Endpoints ====== GET /analytics/kpis GET /analytics/reports POST /analytics/reports GET /analytics/dashboard POST /analytics/warehouse/rebuild GET /analytics/warehouse/status ---- ====== Étape 28 — Exemple ====== { "revenue":1250000, "occupancy":84.7, "revpar":142.3, "customerLtv":5240, "marketingRoi":3.8 } ---- ====== Sprint 9-A.1-I ====== ===== Gouvernance ===== ---- ====== Étape 29 — Permissions ====== analytics.read analytics.kpi.read analytics.report.read analytics.report.create analytics.warehouse.manage analytics.admin ---- ====== Étape 30 — Audit ====== WAREHOUSE_REBUILD_STARTED WAREHOUSE_REBUILD_COMPLETED KPI_REFRESHED REPORT_GENERATED DASHBOARD_VIEWED ETL_EXECUTED ---- ====== Étape 31 — Jobs ====== Toutes les heures Incremental ETL Toutes les nuits Warehouse Refresh KPI Refresh Aggregation Refresh Report Cache Refresh ---- ====== Préparation Sprint 9-A.2 ====== Compatible avec : Predictive Analytics Data Science Machine Learning Executive AI Forecast Engine ---- ====== Définition de terminé ====== Le Sprint 9-A.1 est terminé lorsque : ✓ Data Warehouse créé ✓ Fact Tables créées ✓ Dimensions créées ✓ ETL Pipelines créés ✓ KPI Engine créé ✓ Reporting Core créé ✓ Fondation BI Enterprise opérationnelle ---- ====== Livrables ====== DWFactReservation DWFactRevenue DWFactMarketing DWFactLoyalty DWFactReferral DWDimDate DWDimCustomer DWDimProperty DWDimChannel KPIEntity KPIValue ReportDefinition ReportExecution DataWarehouseService KPIEngineService ReportingService Enterprise Analytics Foundation ---- ====== Sprint 9-A.2 — Predictive Analytics & Forecast Engine ====== ===== Objectif ===== Construire la couche analytique prédictive Enterprise. Cette couche permet : Prévisions Machine Learning Détection des tendances Prévisions de revenus Prévisions de demande Prévisions de churn IA décisionnelle afin de transformer la Business Intelligence descriptive en plateforme analytique prédictive. À l'issue de cette étape : ✓ Forecast Models ✓ Predictive KPIs ✓ Demand Forecast ✓ Revenue Forecast ✓ Churn Forecast ✓ AI Analytics ✓ Predictive Analytics Platform ---- ====== Architecture cible ====== Data Warehouse ↓ Forecast Engine ├── Demand Forecasting ├── Revenue Forecasting ├── Occupancy Forecasting ├── Churn Forecasting ├── Marketing Forecasting ├── Loyalty Forecasting └── AI Analytics ↓ Predictive KPI Engine ↓ Executive Intelligence ---- ====== Sprint 9-A.2-A ====== ===== Extension Prisma ===== ---- ====== Étape 1 — ForecastModel ====== ===== Ajouter dans schema.prisma ===== model ForecastModel { id String @id @default(uuid()) tenantId String code String name String modelType ForecastModelType version String active Boolean @default(true) accuracyScore Float? lastTrainingAt DateTime? createdAt DateTime @default(now()) @@unique([tenantId, code]) @@index([tenantId]) } ---- ====== Étape 2 — ForecastPrediction ====== ===== Ajouter ===== model ForecastPrediction { id String @id @default(uuid()) tenantId String modelId String forecastType ForecastType predictionDate DateTime targetDate DateTime predictedValue Decimal @db.Decimal(18,4) confidenceScore Float? createdAt DateTime @default(now()) @@index([tenantId]) @@index([forecastType]) @@index([targetDate]) } ---- ====== Étape 3 — PredictiveKPI ====== ===== Ajouter ===== model PredictiveKPI { id String @id @default(uuid()) tenantId String code String forecastDate DateTime predictedValue Decimal @db.Decimal(18,4) actualValue Decimal? @db.Decimal(18,4) accuracy Float? createdAt DateTime @default(now()) @@index([tenantId]) @@index([code]) } ---- ====== Étape 4 — AnalyticsInsight ====== ===== Ajouter ===== model AnalyticsInsight { id String @id @default(uuid()) tenantId String category AnalyticsInsightCategory severity InsightSeverity title String description String recommendation String? impactScore Float? createdAt DateTime @default(now()) @@index([tenantId]) @@index([category]) } ---- ====== Étape 5 — ChurnPrediction ====== ===== Ajouter ===== model ChurnPrediction { customerId String @id churnProbability Float riskLevel ChurnRiskLevel expectedRevenueLoss Decimal? @db.Decimal(14,2) calculatedAt DateTime @updatedAt } ---- ====== Étape 6 — Enums ====== ===== Ajouter ===== enum ForecastModelType { TIME_SERIES REGRESSION CLASSIFICATION ENSEMBLE AI_MODEL } enum ForecastType { DEMAND REVENUE OCCUPANCY BOOKINGS CHURN MARKETING LOYALTY } enum AnalyticsInsightCategory { DEMAND REVENUE CUSTOMER PROPERTY MARKETING RISK } enum ChurnRiskLevel { LOW MEDIUM HIGH CRITICAL } ---- ====== Étape 7 — Migration ====== npx prisma migrate dev \ --name predictive_analytics ---- ====== Sprint 9-A.2-B ====== ===== Predictive Analytics Module ===== ---- ====== Étape 8 — Structure ====== src/modules/predictive-analytics ├── forecasting ├── revenue ├── demand ├── churn ├── kpis ├── insights └── predictive-analytics.module.ts ---- ====== Étape 9 — Services ====== ForecastModelService DemandForecastService RevenueForecastService ChurnForecastService PredictiveKPIService AnalyticsInsightService PredictiveAnalyticsDashboardService ---- ====== Sprint 9-A.2-C ====== ===== Forecast Models ===== ---- ====== Étape 10 — ForecastModelService ====== ===== Créer ===== forecast-model.service.ts ---- ===== Supporter ===== ARIMA Prophet XGBoost Random Forest Neural Network ---- ====== Étape 11 — Méthodes ====== trainModel() validateModel() deployModel() evaluateAccuracy() retrainModel() ---- ====== Étape 12 — Cycle ML ====== Collect ↓ Train ↓ Validate ↓ Deploy ↓ Predict ↓ Monitor ---- ====== Sprint 9-A.2-D ====== ===== Demand Forecast ===== ---- ====== Étape 13 — DemandForecastService ====== ===== Créer ===== demand-forecast.service.ts ---- ===== Prévoir ===== Demand Searches Reservations Occupancy ---- ====== Étape 14 — Horizons ====== 7 jours 30 jours 90 jours 12 mois ---- ====== Étape 15 — Variables ====== Seasonality Events Marketing Historical Demand Market Trends ---- ====== Sprint 9-A.2-E ====== ===== Revenue Forecast ===== ---- ====== Étape 16 — RevenueForecastService ====== ===== Créer ===== revenue-forecast.service.ts ---- ===== Prévoir ===== Revenue ADR RevPAR Marketplace Revenue Loyalty Revenue ---- ====== Étape 17 — Méthodes ====== forecastRevenue() forecastADR() forecastRevPAR() forecastProfitability() ---- ====== Étape 18 — Exemple ====== Revenue Forecast 30 jours ↓ 1.82 M€ Confidence 91% ---- ====== Sprint 9-A.2-F ====== ===== Churn Forecast ===== ---- ====== Étape 19 — ChurnForecastService ====== ===== Créer ===== churn-forecast.service.ts ---- ===== Analyser ===== Customer Activity Loyalty Reservations Support Marketing Engagement ---- ====== Étape 20 — Méthodes ====== predictChurn() detectRiskCustomers() estimateRevenueLoss() recommendRetentionActions() ---- ====== Étape 21 — Classification ====== 0-25% Low 26-50% Medium 51-75% High 76-100% Critical ---- ====== Sprint 9-A.2-G ====== ===== Predictive KPI Engine ===== ---- ====== Étape 22 — PredictiveKPIService ====== ===== Créer ===== predictive-kpi.service.ts ---- ===== Générer ===== Forecast Revenue Forecast Occupancy Forecast LTV Forecast Retention Forecast Conversion ---- ====== Étape 23 — Mesurer ====== Forecast Accuracy Prediction Drift Model Reliability ---- ====== Sprint 9-A.2-H ====== ===== AI Analytics ===== ---- ====== Étape 24 — AnalyticsInsightService ====== ===== Créer ===== analytics-insight.service.ts ---- ===== Générer ===== Opportunities Risks Growth Signals Demand Changes Revenue Alerts ---- ====== Étape 25 — Exemples ====== Occupation +18% prévue ↓ Tarification dynamique recommandée ---- Churn VIP +12% ↓ Campagne rétention recommandée ---- ====== Sprint 9-A.2-I ====== ===== Dashboard Prédictif ===== ---- ====== Étape 26 — PredictiveAnalyticsDashboardService ====== ===== Créer ===== predictive-analytics-dashboard.service.ts ---- ===== Afficher ===== Forecasts AI Insights Churn Risks Revenue Outlook Demand Outlook ---- ====== Étape 27 — Endpoints ====== GET /analytics/predictive GET /analytics/forecasts GET /analytics/churn GET /analytics/insights GET /analytics/models POST /analytics/models/train ---- ====== Étape 28 — Exemple ====== { "forecastRevenue":1820000, "forecastOccupancy":87.4, "forecastBookings":1240, "highRiskCustomers":82, "insights":14 } ---- ====== Sprint 9-A.2-J ====== ===== Gouvernance ===== ---- ====== Étape 29 — Permissions ====== analytics.predictive.read analytics.forecast.manage analytics.models.train analytics.insights.read analytics.executive ---- ====== Étape 30 — Audit ====== MODEL_TRAINED FORECAST_GENERATED CHURN_ANALYSIS_COMPLETED PREDICTIVE_KPI_REFRESHED ANALYTICS_INSIGHT_CREATED MODEL_DEPLOYED ---- ====== Étape 31 — Jobs ====== Toutes les nuits Forecast Refresh Churn Analysis Predictive KPI Refresh Toutes les semaines Model Retraining Model Validation ---- ====== Préparation Sprint 9-B.1 ====== Compatible avec : Executive Cockpit Board Reporting Enterprise Scorecards Cross-Domain Analytics Strategic Intelligence ---- ====== Définition de terminé ====== Le Sprint 9-A.2 est terminé lorsque : ✓ Forecast Models créés ✓ Demand Forecast créé ✓ Revenue Forecast créé ✓ Churn Forecast créé ✓ Predictive KPI Engine créé ✓ AI Analytics créé ✓ Plateforme prédictive opérationnelle ---- ====== Livrables ====== ForecastModel ForecastPrediction PredictiveKPI AnalyticsInsight ChurnPrediction ForecastModelService DemandForecastService RevenueForecastService ChurnForecastService PredictiveKPIService AnalyticsInsightService PredictiveAnalyticsDashboardService Predictive Analytics Platform ---- ====== Sprint 9-B.1 — Executive Cockpit & Enterprise Scorecards ====== ===== Objectif ===== Construire le cockpit exécutif Enterprise unifié. Cette couche permet aux dirigeants, investisseurs, opérateurs et managers de piloter l'ensemble de la plateforme depuis une vue stratégique unique. Cette couche agrège : CRM Properties Reservations Finance Marketplace Marketing Loyalty Growth Predictive Analytics afin de fournir : Vision consolidée KPI stratégiques Scorecards Reporting Board Pilotage temps réel Décision assistée par IA À l'issue de cette étape : ✓ Executive Dashboard ✓ Enterprise KPIs ✓ Scorecards ✓ Strategic Reporting ✓ Cross-Domain Analytics ✓ Board Reporting ✓ Executive Cockpit ---- ====== Architecture cible ====== Business Intelligence ↓ Executive Analytics Layer ├── Enterprise KPIs ├── Strategic Scorecards ├── Cross-Domain Analytics ├── Predictive Insights ├── Board Reporting └── Executive Cockpit ↓ CEO COO CFO CMO Operations Investors ---- ====== Sprint 9-B.1-A ====== ===== Extension Prisma ===== ---- ====== Étape 1 — ExecutiveDashboard ====== ===== Ajouter dans schema.prisma ===== model ExecutiveDashboard { id String @id @default(uuid()) tenantId String code String name String description String? active Boolean @default(true) configuration Json createdAt DateTime @default(now()) updatedAt DateTime @updatedAt @@unique([tenantId, code]) @@index([tenantId]) } ---- ====== Étape 2 — EnterpriseScorecard ====== ===== Ajouter ===== model EnterpriseScorecard { id String @id @default(uuid()) tenantId String name String periodStart DateTime periodEnd DateTime overallScore Float generatedAt DateTime @default(now()) @@index([tenantId]) @@index([generatedAt]) } ---- ====== Étape 3 — EnterpriseMetric ====== ===== Ajouter ===== model EnterpriseMetric { id String @id @default(uuid()) tenantId String metricCode String metricName String category EnterpriseMetricCategory targetValue Decimal? @db.Decimal(18,4) currentValue Decimal? @db.Decimal(18,4) trend TrendDirection? measuredAt DateTime @@index([tenantId]) @@index([category]) @@index([metricCode]) } ---- ====== Étape 4 — StrategicInsight ====== ===== Ajouter ===== model StrategicInsight { id String @id @default(uuid()) tenantId String category StrategicInsightCategory severity InsightSeverity title String description String recommendation String? impactScore Float? generatedAt DateTime @default(now()) @@index([tenantId]) @@index([category]) } ---- ====== Étape 5 — BoardReport ====== ===== Ajouter ===== model BoardReport { id String @id @default(uuid()) tenantId String reportPeriod String reportDate DateTime reportStatus BoardReportStatus generatedFileUrl String? createdAt DateTime @default(now()) @@index([tenantId]) @@index([reportDate]) } ---- ====== Étape 6 — Enums ====== ===== Ajouter ===== enum EnterpriseMetricCategory { REVENUE OPERATIONS CUSTOMER PROPERTY MARKETING LOYALTY MARKETPLACE FINANCE } enum StrategicInsightCategory { REVENUE GROWTH COST RISK CUSTOMER MARKETPLACE OPERATIONS } enum TrendDirection { UP DOWN STABLE } enum BoardReportStatus { DRAFT GENERATED PUBLISHED ARCHIVED } ---- ====== Étape 7 — Migration ====== npx prisma migrate dev \ --name executive_cockpit ---- ====== Sprint 9-B.1-B ====== ===== Executive Module ===== ---- ====== Étape 8 — Structure ====== src/modules/executive ├── dashboards ├── scorecards ├── metrics ├── reporting ├── insights └── executive.module.ts ---- ====== Étape 9 — Services ====== ExecutiveDashboardService EnterpriseScorecardService EnterpriseMetricService StrategicInsightService BoardReportingService CrossDomainAnalyticsService ---- ====== Sprint 9-B.1-C ====== ===== Enterprise KPIs ===== ---- ====== Étape 10 — EnterpriseMetricService ====== ===== Créer ===== enterprise-metric.service.ts ---- ===== Agréger ===== Revenue Occupancy ADR RevPAR LTV Retention Marketplace Revenue Marketing ROI NPS Growth Rate ---- ====== Étape 11 — KPIs Stratégiques ====== Revenue Growth Profit Margin Occupancy Rate Customer Lifetime Value Retention Rate Referral Revenue Marketplace Contribution Forecast Accuracy ---- ====== Étape 12 — Méthodes ====== refreshMetrics() calculateTrend() calculateTargetGap() generateExecutiveMetrics() ---- ====== Sprint 9-B.1-D ====== ===== Enterprise Scorecards ===== ---- ====== Étape 13 — EnterpriseScorecardService ====== ===== Créer ===== enterprise-scorecard.service.ts ---- ===== Calculer ===== Financial Score Customer Score Operations Score Growth Score Risk Score ---- ====== Étape 14 — Pondération ====== Finance 30% Operations 25% Customer 20% Growth 15% Risk 10% ---- ====== Étape 15 — Classification ====== 90-100 Excellent 75-89 Healthy 50-74 Watch 0-49 Critical ---- ====== Sprint 9-B.1-E ====== ===== Cross-Domain Analytics ===== ---- ====== Étape 16 — CrossDomainAnalyticsService ====== ===== Créer ===== cross-domain-analytics.service.ts ---- ===== Corréler ===== Marketing ↔ Revenue Loyalty ↔ Retention Reviews ↔ Occupancy Referrals ↔ Revenue CRM ↔ Reservations ---- ====== Étape 17 — Analyses ====== Causal Trends Correlations Segment Performance Executive Trends ---- ====== Étape 18 — Exemple ====== Loyalty Score +12% ↓ Retention +8% ↓ Revenue +5.4% ---- ====== Sprint 9-B.1-F ====== ===== Strategic Reporting ===== ---- ====== Étape 19 — BoardReportingService ====== ===== Créer ===== board-reporting.service.ts ---- ===== Générer ===== Board Packs Investor Reports Executive Reports Management Reports ---- ====== Étape 20 — Formats ====== PDF Excel PowerPoint JSON ---- ====== Étape 21 — Sections ====== Executive Summary Financial Performance Operations Customers Growth Forecasts Risks ---- ====== Sprint 9-B.1-G ====== ===== Strategic Insights ===== ---- ====== Étape 22 — StrategicInsightService ====== ===== Créer ===== strategic-insight.service.ts ---- ===== Produire ===== Revenue Opportunities Cost Reduction Customer Risks Market Expansion Growth Signals ---- ====== Étape 23 — Exemples ====== Occupancy +11% prévue ↓ Revenue +9% attendu ---- Churn VIP +6% ↓ Action recommandée ---- ====== Sprint 9-B.1-H ====== ===== Executive Dashboard ===== ---- ====== Étape 24 — ExecutiveDashboardService ====== ===== Créer ===== executive-dashboard.service.ts ---- ===== Widgets ===== Revenue Overview Occupancy Overview Customer Health Marketplace Health Forecast Center Strategic Insights ---- ====== Étape 25 — Vues ====== CEO COO CFO CMO Operations Investors ---- ====== Sprint 9-B.1-I ====== ===== API Executive ===== ---- ====== Étape 26 — Endpoints ====== GET /executive/dashboard GET /executive/scorecards GET /executive/metrics GET /executive/insights GET /executive/reports POST /executive/reports/generate ---- ====== Étape 27 — Exemple ====== { "enterpriseScore":91, "revenueGrowth":18.4, "occupancy":86.7, "customerRetention":92.1, "forecastConfidence":89.4 } ---- ====== Sprint 9-B.1-J ====== ===== Gouvernance ===== ---- ====== Étape 28 — Permissions ====== executive.read executive.metrics.read executive.scorecards.read executive.reporting.generate executive.insights.read executive.admin ---- ====== Étape 29 — Audit ====== EXECUTIVE_DASHBOARD_VIEWED SCORECARD_GENERATED BOARD_REPORT_GENERATED STRATEGIC_INSIGHT_CREATED METRIC_REFRESHED EXECUTIVE_REPORT_EXPORTED ---- ====== Étape 30 — Jobs ====== Toutes les nuits Executive Metrics Refresh Strategic Insight Generation Scorecard Refresh Toutes les semaines Board Report Generation ---- ====== Préparation Sprint 9-B.2 ====== Compatible avec : AI Executive Advisor Autonomous Analytics Decision Intelligence Strategic Planning Enterprise AI ---- ====== Définition de terminé ====== Le Sprint 9-B.1 est terminé lorsque : ✓ Executive Dashboard créé ✓ Enterprise KPIs créés ✓ Scorecards créés ✓ Strategic Reporting créé ✓ Cross-Domain Analytics créé ✓ Board Reporting créé ✓ Executive Cockpit opérationnel ---- ====== Livrables ====== ExecutiveDashboard EnterpriseScorecard EnterpriseMetric StrategicInsight BoardReport ExecutiveDashboardService EnterpriseScorecardService EnterpriseMetricService StrategicInsightService BoardReportingService CrossDomainAnalyticsService Executive Cockpit Platform ---- ====== Sprint 9-B.2 — AI Executive Advisor & Decision Intelligence ====== ===== Objectif ===== Finaliser la plateforme Enterprise Intelligence en ajoutant une couche décisionnelle autonome pilotée par l'IA. Cette couche permet : AI Executive Advisor Decision Intelligence Autonomous Insights Strategic Recommendations Scenario Simulation Executive Copilot afin de transformer la plateforme en système d'aide à la décision de niveau Enterprise. À l'issue de cette étape : ✓ AI Executive Advisor ✓ Decision Intelligence ✓ Autonomous Insights ✓ Strategic Recommendations ✓ Scenario Simulation ✓ Executive Copilot ✓ Enterprise Intelligence Platform ---- ====== Architecture cible ====== Business Intelligence ↓ Predictive Analytics ↓ Decision Intelligence Layer ├── Executive Advisor ├── Strategic AI Engine ├── Scenario Simulator ├── Autonomous Insights ├── Recommendation Engine ├── Executive Copilot └── Decision Memory ↓ Executives ↓ Strategic Decisions ---- ====== Sprint 9-B.2-A ====== ===== Extension Prisma ===== ---- ====== Étape 1 — ExecutiveRecommendation ====== ===== Ajouter dans schema.prisma ===== model ExecutiveRecommendation { id String @id @default(uuid()) tenantId String category RecommendationCategory priority RecommendationPriority title String description String expectedImpact String? confidenceScore Float? status RecommendationStatus generatedAt DateTime @default(now()) @@index([tenantId]) @@index([category]) @@index([priority]) } ---- ====== Étape 2 — ScenarioSimulation ====== ===== Ajouter ===== model ScenarioSimulation { id String @id @default(uuid()) tenantId String name String scenarioType ScenarioType assumptions Json projectedImpact Json confidenceScore Float? createdAt DateTime @default(now()) @@index([tenantId]) @@index([scenarioType]) } ---- ====== Étape 3 — AutonomousInsight ====== ===== Ajouter ===== model AutonomousInsight { id String @id @default(uuid()) tenantId String category AutonomousInsightCategory severity InsightSeverity title String description String recommendation String? detectedAt DateTime @default(now()) @@index([tenantId]) @@index([category]) } ---- ====== Étape 4 — DecisionRecord ====== ===== Ajouter ===== model DecisionRecord { id String @id @default(uuid()) tenantId String title String decisionCategory DecisionCategory recommendationId String? outcome String? impactScore Float? createdAt DateTime @default(now()) @@index([tenantId]) @@index([decisionCategory]) } ---- ====== Étape 5 — ExecutiveCopilotSession ====== ===== Ajouter ===== model ExecutiveCopilotSession { id String @id @default(uuid()) tenantId String userId String startedAt DateTime @default(now()) endedAt DateTime? sessionSummary String? decisionsGenerated Int @default(0) @@index([tenantId]) @@index([userId]) } ---- ====== Étape 6 — Enums ====== ===== Ajouter ===== enum RecommendationCategory { REVENUE COST CUSTOMER OPERATIONS MARKETPLACE GROWTH RISK } enum RecommendationPriority { LOW MEDIUM HIGH CRITICAL } enum RecommendationStatus { OPEN ACCEPTED REJECTED IMPLEMENTED } enum ScenarioType { REVENUE OCCUPANCY PRICING MARKETING EXPANSION COST_REDUCTION } enum AutonomousInsightCategory { OPPORTUNITY RISK ANOMALY FORECAST PERFORMANCE } enum DecisionCategory { STRATEGIC FINANCIAL OPERATIONAL CUSTOMER GROWTH } ---- ====== Étape 7 — Migration ====== npx prisma migrate dev \ --name ai_executive_advisor ---- ====== Sprint 9-B.2-B ====== ===== Decision Intelligence Module ===== ---- ====== Étape 8 — Structure ====== src/modules/decision-intelligence ├── advisor ├── recommendations ├── simulations ├── insights ├── copilot ├── memory └── decision-intelligence.module.ts ---- ====== Étape 9 — Services ====== ExecutiveAdvisorService DecisionIntelligenceService StrategicRecommendationService ScenarioSimulationService AutonomousInsightService ExecutiveCopilotService DecisionMemoryService ---- ====== Sprint 9-B.2-C ====== ===== AI Executive Advisor ===== ---- ====== Étape 10 — ExecutiveAdvisorService ====== ===== Créer ===== executive-advisor.service.ts ---- ===== Fournir ===== Business Analysis Executive Briefing Strategic Summary Priority Ranking Decision Support ---- ====== Étape 11 — Questions ====== ===== Répondre à ===== Pourquoi le revenu baisse ? Quels segments croissent ? Quels risques sont critiques ? Où investir ? Quelle action a le meilleur ROI ? ---- ====== Étape 12 — Méthodes ====== generateExecutiveBrief() generateBusinessSummary() rankBusinessPriorities() answerExecutiveQuestion() ---- ====== Sprint 9-B.2-D ====== ===== Strategic Recommendations ===== ---- ====== Étape 13 — StrategicRecommendationService ====== ===== Créer ===== strategic-recommendation.service.ts ---- ===== Générer ===== Revenue Growth Cost Optimization Retention Improvement Expansion Opportunities Marketplace Optimization ---- ====== Étape 14 — Priorisation ====== Impact Effort Risk ROI ---- ====== Étape 15 — Exemple ====== Dynamic Pricing ↓ +12% revenu Confidence 91% ---- ====== Sprint 9-B.2-E ====== ===== Autonomous Insights ===== ---- ====== Étape 16 — AutonomousInsightService ====== ===== Créer ===== autonomous-insight.service.ts ---- ===== Détecter automatiquement ===== Anomalies Opportunités Risques Tendances Prévisions ---- ====== Étape 17 — Exemples ====== Churn VIP +15% ↓ Alerte stratégique ---- Demande été +22% ↓ Capacité insuffisante ---- ====== Sprint 9-B.2-F ====== ===== Scenario Simulation ===== ---- ====== Étape 18 — ScenarioSimulationService ====== ===== Créer ===== scenario-simulation.service.ts ---- ===== Simuler ===== Prix Marketing Expansion Réduction coûts Commissions ---- ====== Étape 19 — Méthodes ====== simulateRevenueImpact() simulatePricingChange() simulateExpansion() compareScenarios() ---- ====== Étape 20 — Exemple ====== Tarifs +8% ↓ Revenu +11% Occupation -2% ---- ====== Sprint 9-B.2-G ====== ===== Decision Memory ===== ---- ====== Étape 21 — DecisionMemoryService ====== ===== Créer ===== decision-memory.service.ts ---- ===== Conserver ===== Décisions Actions Résultats KPIs impactés ROI réel ---- ====== Étape 22 — Objectif ====== Permettre à l'IA d'apprendre : Décisions gagnantes Décisions perdantes Effets réels Historique stratégique ---- ====== Sprint 9-B.2-H ====== ===== Executive Copilot ===== ---- ====== Étape 23 — ExecutiveCopilotService ====== ===== Créer ===== executive-copilot.service.ts ---- ===== Fonctions ===== Chat exécutif Analyse KPI Simulation Recommandations Explications ---- ====== Étape 24 — Exemples ====== Pourquoi le revenu est-il inférieur aux prévisions ? ---- Que se passe-t-il si nous augmentons les prix de 5% ? ---- Quels sont les 3 plus grands risques ? ---- ====== Sprint 9-B.2-I ====== ===== Dashboard IA ===== ---- ====== Étape 25 — DecisionIntelligenceService ====== ===== Créer ===== decision-intelligence.service.ts ---- ===== Afficher ===== Strategic Recommendations Executive Insights Scenario Center Forecast Center Risk Center Decision Tracker ---- ====== Étape 26 — Endpoints ====== GET /executive/ai/dashboard GET /executive/ai/recommendations GET /executive/ai/insights POST /executive/ai/simulations GET /executive/ai/decisions POST /executive/ai/copilot/chat ---- ====== Étape 27 — Exemple ====== { "recommendations":12, "criticalRisks":3, "growthOpportunities":7, "forecastConfidence":89, "executiveScore":94 } ---- ====== Sprint 9-B.2-J ====== ===== Gouvernance ===== ---- ====== Étape 28 — Permissions ====== executive.ai.read executive.ai.simulate executive.ai.copilot executive.ai.recommendations executive.ai.admin ---- ====== Étape 29 — Audit ====== EXECUTIVE_BRIEF_GENERATED SCENARIO_SIMULATED AUTONOMOUS_INSIGHT_CREATED RECOMMENDATION_GENERATED DECISION_RECORDED COPILOT_SESSION_STARTED ---- ====== Étape 30 — Jobs ====== Toutes les heures Insight Detection Toutes les nuits Recommendation Generation Scenario Refresh Decision Learning Executive Brief Generation ---- ====== Clôture Enterprise Intelligence ====== À la fin du Sprint 9-B.2 : ✓ Data Warehouse ✓ Predictive Analytics ✓ Executive Cockpit ✓ Decision Intelligence ✓ AI Executive Advisor ✓ Executive Copilot ✓ Enterprise Intelligence sont entièrement opérationnels. ---- ====== Préparation Sprint 10 ====== Compatible avec : Platform API Public APIs SDKs Developer Portal Ecosystem Platform App Marketplace ---- ====== Définition de terminé ====== Le Sprint 9-B.2 est terminé lorsque : ✓ AI Executive Advisor créé ✓ Decision Intelligence créée ✓ Autonomous Insights créés ✓ Strategic Recommendations créées ✓ Scenario Simulation créée ✓ Executive Copilot créé ✓ Enterprise Intelligence finalisée ---- ====== Livrables ====== ExecutiveRecommendation ScenarioSimulation AutonomousInsight DecisionRecord ExecutiveCopilotSession ExecutiveAdvisorService DecisionIntelligenceService StrategicRecommendationService ScenarioSimulationService AutonomousInsightService ExecutiveCopilotService DecisionMemoryService Enterprise Intelligence Platform