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Raistlin82

SAP OData to MCP Server

by Raistlin82

business-intelligence-insights

Generate actionable insights from SAP data by analyzing trends, anomalies, correlations, and optimization opportunities to support data-driven business decisions.

Instructions

Generate business insights from SAP data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
analysisTypeNoType of analysis to performcomprehensive
entityTypesNoSAP entity types to analyze
exportFormatNoExport format (for export action)json
includeRecommendationsNoInclude actionable recommendations
insightIdNoSpecific insight ID (for get action)
minConfidenceNoMinimum confidence threshold for insights
serviceIdsNoSAP service IDs to include
timeWindowNoTime window for analysis

Implementation Reference

  • The primary handler function that processes input arguments and dispatches to specific actions like 'generate', 'list', 'get', 'configure', and 'export' for business intelligence insights.
    public async execute(args: z.infer<typeof this.inputSchema>): Promise<any> { logger.info('Generating business intelligence insights', { action: args.action, analysisType: args.analysisType, }); const service = getRealtimeService(); try { switch (args.action) { case 'generate': const insights = this.generateBusinessInsights(args); return { success: true, insights, analysis: { type: args.analysisType, timeWindow: args.timeWindow, entityTypes: args.entityTypes || ['SalesOrder', 'Product', 'Customer'], confidence: 0.85, dataPoints: Math.floor(Math.random() * 10000) + 5000, }, summary: { totalInsights: insights.length, highPriority: insights.filter(i => i.severity === 'critical' || i.severity === 'high') .length, categories: this.categorizeInsights(insights), generatedAt: new Date().toISOString(), }, recommendations: this.generateGlobalRecommendations(insights), }; case 'list': const existingInsights = service.getInsights(); return { success: true, insights: existingInsights.map(insight => ({ insightId: insight.insightId, title: insight.title, type: insight.type, severity: insight.severity, confidence: insight.confidence, generated: insight.generated, expires: insight.expires, })), total: existingInsights.length, active: existingInsights.filter(i => !i.expires || i.expires > new Date()).length, }; case 'get': if (!args.insightId) { throw new Error('Insight ID is required for get action'); } const insight = service.getInsights().find(i => i.insightId === args.insightId); if (!insight) { return { success: false, error: 'Insight not found', insightId: args.insightId, }; } return { success: true, insight: { ...insight, relatedInsights: this.findRelatedInsights(insight, service.getInsights()), actionsPlan: this.generateActionPlan(insight), }, }; case 'configure': const configuration = this.generateInsightConfiguration(args); return { success: true, message: 'Business intelligence engine configured', configuration, status: 'active', }; case 'export': const exportData = this.generateExportData(service.getInsights(), args.exportFormat!); return { success: true, export: exportData, format: args.exportFormat, recordCount: service.getInsights().length, generatedAt: new Date().toISOString(), }; default: throw new Error(`Unknown action: ${args.action}`); } } catch (error: any) { logger.error('Business intelligence error', { error: error.message }); return { success: false, error: error.message, action: args.action, troubleshooting: [ 'Ensure sufficient historical data exists for analysis', 'Verify entity types and service IDs are accessible', 'Check minimum confidence threshold settings', ], }; } }
  • Zod schema defining the input parameters for the tool, including action types, analysis options, time windows, and export formats.
    public readonly inputSchema = z .object({ action: z.enum(['generate', 'list', 'get', 'configure', 'export']), entityTypes: z.array(z.string()).optional().describe('SAP entity types to analyze'), serviceIds: z.array(z.string()).optional().describe('SAP service IDs to include'), analysisType: z .enum(['trend', 'anomaly', 'correlation', 'optimization', 'comprehensive']) .optional() .default('comprehensive') .describe('Type of analysis to perform'), timeWindow: z .object({ period: z.enum(['hours', 'days', 'weeks', 'months']), size: z.number().positive(), }) .optional() .default({ period: 'days', size: 7 }) .describe('Time window for analysis'), insightId: z.string().optional().describe('Specific insight ID (for get action)'), minConfidence: z .number() .min(0) .max(1) .optional() .default(0.7) .describe('Minimum confidence threshold for insights'), includeRecommendations: z .boolean() .optional() .default(true) .describe('Include actionable recommendations'), exportFormat: z .enum(['json', 'csv', 'pdf']) .optional() .default('json') .describe('Export format (for export action)'), }) .describe('Business intelligence insights configuration');
  • The tool instance is created and registered within the realtimeAnalyticsTools array export, which collects all realtime analytics tools.
    new RealTimeDataStreamTool(), new KPIDashboardBuilderTool(), new PredictiveAnalyticsEngineTool(), new BusinessIntelligenceInsightsTool(), ];
  • Helper method that generates business insights based on analysis type by delegating to specific insight generators and applying confidence filtering.
    private generateBusinessInsights(args: any): any[] { const insights = []; const analysisTypes = args.analysisType === 'comprehensive' ? ['trend', 'anomaly', 'correlation', 'optimization'] : [args.analysisType]; for (const type of analysisTypes) { switch (type) { case 'trend': insights.push(...this.generateTrendInsights()); break; case 'anomaly': insights.push(...this.generateAnomalyInsights()); break; case 'correlation': insights.push(...this.generateCorrelationInsights()); break; case 'optimization': insights.push(...this.generateOptimizationInsights()); break; } } // Filter by confidence threshold return insights.filter(insight => insight.confidence >= args.minConfidence); }
  • Helper method generating sample trend insights, such as sales revenue trends, with detailed data, recommendations, and expiration.
    private generateTrendInsights(): any[] { return [ { insightId: `trend_${Date.now()}_1`, title: 'Sales Revenue Increasing Trend', description: 'Sales revenue has shown a consistent 15.3% upward trend over the past 7 days', type: 'trend_alert', severity: 'medium', confidence: 0.92, data: { metric: 'revenue', trend: 'increasing', percentage: 15.3, timeframe: '7 days', }, recommendations: [ 'Scale inventory to meet increased demand', 'Review pricing strategies for optimization', 'Prepare marketing campaigns to sustain growth', ], generated: new Date(), expires: new Date(Date.now() + DATA_RETENTION.INSIGHTS_MEDIUM), // 48 hours }, ]; }

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