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
Operational Systems ├── CRM ├── Property ├── Reservation ├── Finance ├── Marketing ├── Loyalty └── Marketplace ↓ ETL / ELT Layer ↓ Data Warehouse ├── Facts ├── Dimensions ├── Aggregations └── KPI Engine ↓ Reporting ↓ Executive Dashboards
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])
}
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])
}
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])
}
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])
}
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])
}
model DWDimDate {
dateKey String
@id
fullDate DateTime
day Int
week Int
month Int
quarter Int
year Int
isWeekend Boolean
}
model DWDimCustomer {
customerId String
@id
segment String?
status String?
country String?
city String?
customerScore Float?
lifetimeValue Decimal?
@db.Decimal(14,2)
}
model DWDimProperty {
propertyId String
@id
propertyType String?
category String?
city String?
country String?
capacity Int?
propertyScore Float?
}
model DWDimChannel {
channelId String
@id
name String
category String
active Boolean
}
npx prisma migrate dev \
--name bi_datawarehouse_core
src/modules/analytics/etl ├── reservation-etl ├── revenue-etl ├── marketing-etl ├── loyalty-etl ├── referral-etl └── etl.module.ts
ReservationETLService RevenueETLService MarketingETLService LoyaltyETLService ReferralETLService DataWarehouseService
Extract ↓ Transform ↓ Load ↓ Validate ↓ Aggregate
extract() transform() load() validate() rebuildWarehouse()
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])
}
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])
}
Revenue Occupancy ADR RevPAR Conversion Rate Customer LTV Retention Referral Revenue Marketing ROI
kpi-engine.service.ts
calculateKPI() calculatePeriod() refreshKPIs() comparePeriods()
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])
}
model ReportExecution {
id String
@id
@default(uuid())
reportId String
executedAt DateTime
@default(now())
status ReportExecutionStatus
executionTimeMs Int?
fileUrl String?
@@index([reportId])
}
enum KPICategory {
FINANCE
PROPERTY
CUSTOMER
MARKETING
LOYALTY
REFERRAL
}
enum ReportCategory {
EXECUTIVE
FINANCE
OPERATIONS
MARKETING
CRM
CUSTOM
}
enum ReportExecutionStatus {
PENDING
RUNNING
COMPLETED
FAILED
}
reporting.service.ts
PDF Excel CSV JSON
src/modules/business-intelligence ├── warehouse ├── etl ├── kpi ├── reporting ├── dashboards └── business-intelligence.module.ts
DataWarehouseService KPIEngineService ReportingService DashboardService AnalyticsAggregationService
Executive Dashboard Revenue Dashboard Operations Dashboard CRM Dashboard Marketing Dashboard Growth Dashboard
Jour Semaine Mois Trimestre Année
GET /analytics/kpis GET /analytics/reports POST /analytics/reports GET /analytics/dashboard POST /analytics/warehouse/rebuild GET /analytics/warehouse/status
{
"revenue":1250000,
"occupancy":84.7,
"revpar":142.3,
"customerLtv":5240,
"marketingRoi":3.8
}
analytics.read analytics.kpi.read analytics.report.read analytics.report.create analytics.warehouse.manage analytics.admin
WAREHOUSE_REBUILD_STARTED WAREHOUSE_REBUILD_COMPLETED KPI_REFRESHED REPORT_GENERATED DASHBOARD_VIEWED ETL_EXECUTED
Toutes les heures Incremental ETL Toutes les nuits Warehouse Refresh KPI Refresh Aggregation Refresh Report Cache Refresh
Compatible avec :
Predictive Analytics Data Science Machine Learning Executive AI Forecast Engine
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
DWFactReservation DWFactRevenue DWFactMarketing DWFactLoyalty DWFactReferral DWDimDate DWDimCustomer DWDimProperty DWDimChannel KPIEntity KPIValue ReportDefinition ReportExecution DataWarehouseService KPIEngineService ReportingService Enterprise Analytics Foundation
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
Data Warehouse ↓ Forecast Engine ├── Demand Forecasting ├── Revenue Forecasting ├── Occupancy Forecasting ├── Churn Forecasting ├── Marketing Forecasting ├── Loyalty Forecasting └── AI Analytics ↓ Predictive KPI Engine ↓ Executive Intelligence
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])
}
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])
}
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])
}
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])
}
model ChurnPrediction {
customerId String
@id
churnProbability Float
riskLevel ChurnRiskLevel
expectedRevenueLoss Decimal?
@db.Decimal(14,2)
calculatedAt DateTime
@updatedAt
}
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
}
npx prisma migrate dev \
--name predictive_analytics
src/modules/predictive-analytics ├── forecasting ├── revenue ├── demand ├── churn ├── kpis ├── insights └── predictive-analytics.module.ts
ForecastModelService DemandForecastService RevenueForecastService ChurnForecastService PredictiveKPIService AnalyticsInsightService PredictiveAnalyticsDashboardService
forecast-model.service.ts
ARIMA Prophet XGBoost Random Forest Neural Network
trainModel() validateModel() deployModel() evaluateAccuracy() retrainModel()
Collect ↓ Train ↓ Validate ↓ Deploy ↓ Predict ↓ Monitor
demand-forecast.service.ts
Demand Searches Reservations Occupancy
7 jours 30 jours 90 jours 12 mois
Seasonality Events Marketing Historical Demand Market Trends
revenue-forecast.service.ts
Revenue ADR RevPAR Marketplace Revenue Loyalty Revenue
forecastRevenue() forecastADR() forecastRevPAR() forecastProfitability()
Revenue Forecast 30 jours ↓ 1.82 M€ Confidence 91%
churn-forecast.service.ts
Customer Activity Loyalty Reservations Support Marketing Engagement
predictChurn() detectRiskCustomers() estimateRevenueLoss() recommendRetentionActions()
0-25% Low 26-50% Medium 51-75% High 76-100% Critical
predictive-kpi.service.ts
Forecast Revenue Forecast Occupancy Forecast LTV Forecast Retention Forecast Conversion
Forecast Accuracy Prediction Drift Model Reliability
analytics-insight.service.ts
Opportunities Risks Growth Signals Demand Changes Revenue Alerts
Occupation +18% prévue ↓ Tarification dynamique recommandée
Churn VIP +12% ↓ Campagne rétention recommandée
predictive-analytics-dashboard.service.ts
Forecasts AI Insights Churn Risks Revenue Outlook Demand Outlook
GET /analytics/predictive GET /analytics/forecasts GET /analytics/churn GET /analytics/insights GET /analytics/models POST /analytics/models/train
{
"forecastRevenue":1820000,
"forecastOccupancy":87.4,
"forecastBookings":1240,
"highRiskCustomers":82,
"insights":14
}
analytics.predictive.read analytics.forecast.manage analytics.models.train analytics.insights.read analytics.executive
MODEL_TRAINED FORECAST_GENERATED CHURN_ANALYSIS_COMPLETED PREDICTIVE_KPI_REFRESHED ANALYTICS_INSIGHT_CREATED MODEL_DEPLOYED
Toutes les nuits Forecast Refresh Churn Analysis Predictive KPI Refresh Toutes les semaines Model Retraining Model Validation
Compatible avec :
Executive Cockpit Board Reporting Enterprise Scorecards Cross-Domain Analytics Strategic Intelligence
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
ForecastModel ForecastPrediction PredictiveKPI AnalyticsInsight ChurnPrediction ForecastModelService DemandForecastService RevenueForecastService ChurnForecastService PredictiveKPIService AnalyticsInsightService PredictiveAnalyticsDashboardService Predictive Analytics Platform
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
Business Intelligence ↓ Executive Analytics Layer ├── Enterprise KPIs ├── Strategic Scorecards ├── Cross-Domain Analytics ├── Predictive Insights ├── Board Reporting └── Executive Cockpit ↓ CEO COO CFO CMO Operations Investors
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])
}
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])
}
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])
}
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])
}
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])
}
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
}
npx prisma migrate dev \
--name executive_cockpit
src/modules/executive ├── dashboards ├── scorecards ├── metrics ├── reporting ├── insights └── executive.module.ts
ExecutiveDashboardService EnterpriseScorecardService EnterpriseMetricService StrategicInsightService BoardReportingService CrossDomainAnalyticsService
enterprise-metric.service.ts
Revenue Occupancy ADR RevPAR LTV Retention Marketplace Revenue Marketing ROI NPS Growth Rate
Revenue Growth Profit Margin Occupancy Rate Customer Lifetime Value Retention Rate Referral Revenue Marketplace Contribution Forecast Accuracy
refreshMetrics() calculateTrend() calculateTargetGap() generateExecutiveMetrics()
enterprise-scorecard.service.ts
Financial Score Customer Score Operations Score Growth Score Risk Score
Finance 30% Operations 25% Customer 20% Growth 15% Risk 10%
90-100 Excellent 75-89 Healthy 50-74 Watch 0-49 Critical
cross-domain-analytics.service.ts
Marketing ↔ Revenue Loyalty ↔ Retention Reviews ↔ Occupancy Referrals ↔ Revenue CRM ↔ Reservations
Causal Trends Correlations Segment Performance Executive Trends
Loyalty Score +12% ↓ Retention +8% ↓ Revenue +5.4%
board-reporting.service.ts
Board Packs Investor Reports Executive Reports Management Reports
PDF Excel PowerPoint JSON
Executive Summary Financial Performance Operations Customers Growth Forecasts Risks
strategic-insight.service.ts
Revenue Opportunities Cost Reduction Customer Risks Market Expansion Growth Signals
Occupancy +11% prévue ↓ Revenue +9% attendu
Churn VIP +6% ↓ Action recommandée
executive-dashboard.service.ts
Revenue Overview Occupancy Overview Customer Health Marketplace Health Forecast Center Strategic Insights
CEO COO CFO CMO Operations Investors
GET /executive/dashboard GET /executive/scorecards GET /executive/metrics GET /executive/insights GET /executive/reports POST /executive/reports/generate
{
"enterpriseScore":91,
"revenueGrowth":18.4,
"occupancy":86.7,
"customerRetention":92.1,
"forecastConfidence":89.4
}
executive.read executive.metrics.read executive.scorecards.read executive.reporting.generate executive.insights.read executive.admin
EXECUTIVE_DASHBOARD_VIEWED SCORECARD_GENERATED BOARD_REPORT_GENERATED STRATEGIC_INSIGHT_CREATED METRIC_REFRESHED EXECUTIVE_REPORT_EXPORTED
Toutes les nuits Executive Metrics Refresh Strategic Insight Generation Scorecard Refresh Toutes les semaines Board Report Generation
Compatible avec :
AI Executive Advisor Autonomous Analytics Decision Intelligence Strategic Planning Enterprise AI
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
ExecutiveDashboard EnterpriseScorecard EnterpriseMetric StrategicInsight BoardReport ExecutiveDashboardService EnterpriseScorecardService EnterpriseMetricService StrategicInsightService BoardReportingService CrossDomainAnalyticsService Executive Cockpit Platform
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
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
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])
}
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])
}
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])
}
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])
}
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])
}
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
}
npx prisma migrate dev \
--name ai_executive_advisor
src/modules/decision-intelligence ├── advisor ├── recommendations ├── simulations ├── insights ├── copilot ├── memory └── decision-intelligence.module.ts
ExecutiveAdvisorService DecisionIntelligenceService StrategicRecommendationService ScenarioSimulationService AutonomousInsightService ExecutiveCopilotService DecisionMemoryService
executive-advisor.service.ts
Business Analysis Executive Briefing Strategic Summary Priority Ranking Decision Support
Pourquoi le revenu baisse ? Quels segments croissent ? Quels risques sont critiques ? Où investir ? Quelle action a le meilleur ROI ?
generateExecutiveBrief() generateBusinessSummary() rankBusinessPriorities() answerExecutiveQuestion()
strategic-recommendation.service.ts
Revenue Growth Cost Optimization Retention Improvement Expansion Opportunities Marketplace Optimization
Impact Effort Risk ROI
Dynamic Pricing ↓ +12% revenu Confidence 91%
autonomous-insight.service.ts
Anomalies Opportunités Risques Tendances Prévisions
Churn VIP +15% ↓ Alerte stratégique
Demande été +22% ↓ Capacité insuffisante
scenario-simulation.service.ts
Prix Marketing Expansion Réduction coûts Commissions
simulateRevenueImpact() simulatePricingChange() simulateExpansion() compareScenarios()
Tarifs +8% ↓ Revenu +11% Occupation -2%
decision-memory.service.ts
Décisions Actions Résultats KPIs impactés ROI réel
Permettre à l'IA d'apprendre :
Décisions gagnantes Décisions perdantes Effets réels Historique stratégique
executive-copilot.service.ts
Chat exécutif Analyse KPI Simulation Recommandations Explications
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 ?
decision-intelligence.service.ts
Strategic Recommendations Executive Insights Scenario Center Forecast Center Risk Center Decision Tracker
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
{
"recommendations":12,
"criticalRisks":3,
"growthOpportunities":7,
"forecastConfidence":89,
"executiveScore":94
}
executive.ai.read executive.ai.simulate executive.ai.copilot executive.ai.recommendations executive.ai.admin
EXECUTIVE_BRIEF_GENERATED SCENARIO_SIMULATED AUTONOMOUS_INSIGHT_CREATED RECOMMENDATION_GENERATED DECISION_RECORDED COPILOT_SESSION_STARTED
Toutes les heures Insight Detection Toutes les nuits Recommendation Generation Scenario Refresh Decision Learning Executive Brief Generation
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.
Compatible avec :
Platform API Public APIs SDKs Developer Portal Ecosystem Platform App Marketplace
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
ExecutiveRecommendation ScenarioSimulation AutonomousInsight DecisionRecord ExecutiveCopilotSession ExecutiveAdvisorService DecisionIntelligenceService StrategicRecommendationService ScenarioSimulationService AutonomousInsightService ExecutiveCopilotService DecisionMemoryService Enterprise Intelligence Platform