Contract Lifecycle - Business Status Analytics

aws · architecture diagram.

About This Architecture

Eight-step contract lifecycle analytics pipeline using AWS services to capture, map, and analyze custom business statuses from initial creation through reporting. Custom statuses flow from a Repository Library through a Rules Engine and EventBridge, triggering Lambda functions to timestamp status changes in RDS and DynamoDB. Data integrates via DMS and Glue ETL into Redshift ODS and S3 Data Lake, enabling Athena queries and QuickSight cycle time analytics. This architecture demonstrates how to instrument business process metadata for real-time tracking and historical analysis. Fork this diagram to customize status mappings, add additional Lambda processors, or extend the analytics layer with additional QuickSight dashboards.

People also ask

How do I build a contract lifecycle analytics system on AWS that tracks custom business statuses and generates cycle time reports?

This diagram shows an eight-step AWS pipeline: custom statuses are defined in a Repository Library, mapped via Rules Engine and EventBridge, applied to contract records by App Runner, timestamped by Lambda into RDS and DynamoDB, then integrated via DMS and Glue ETL into Redshift ODS and S3 Data Lake for Athena queries and QuickSight cycle time reporting.

Contract Lifecycle - Business Status Analytics

AWSadvanceddata-engineeringETLanalyticscontract-managementEventBridge
Domain: Data EngineeringAudience: Data engineers and analytics architects building contract lifecycle tracking systems on AWS
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Created by

March 30, 2026

Updated

March 30, 2026 at 6:49 AM

Type

architecture

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