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1. Overview

Integration with existing systems serves as the interoperability bridge for the organization. It fulfills the requirement to “integrate the module with existing systems,” ensuring that multiple data sources can be unified into a “centralized and fluid management” structure to avoid duplication.

2. Scope and Business Meaning

Functionally, this deliverable covers the Data Consolidation layer. It ensures:
  • Source of Truth: Establishing a single, verified repository for Customer and Contract data, regardless of where the data originated.
  • Consistency: Preventing data fragmentation by funneling all external records through a standardized import governance process.
  • Fluid Management: Enabling the rapid onboarding of legacy data without manual re-entry.

3. Implemented Functionalities

The platform implements “System Integration” through the Data Lake Manager, which acts as the universal adapter for external data.

Centralized Data Governance

Requirement Addressed: “Ensure centralized and fluid management” The Data Lake provides a unified interface for all business entities:
  • Universal Schema: Whether data comes from an API or an Excel sheet, it is normalized into standard collections (e.g., Customers, Contracts), ensuring that downstream modules (Offers, Analytics) operate on consistent data.
  • Reference: Data Lake Manager
Centralized Data Governance

Legacy System Ingestion

Requirement Addressed: “Avoid data duplication… integrate with existing systems” The system supports the massive ingestion of data from legacy ERPs or CRMs:
  • File-Based Integration: The platform supports the direct import of CSV, XLSX, and XLS files. This allows organizations to dump data from “Existing Systems” and immediately re-hydrate it within the Centrico ecosystem, preserving historical records and preventing the need for duplicate entry.
Legacy Data Ingestion

4. Technical Enablement

The platform enables this deliverable through:

Ingestion Pipeline

  • FileParserService: A dedicated backend service that validates external file structures against internal schemas, rejecting “bad data” before it can corrupt the central repository. This ensures that “consistency across business systems” is enforced technically, not just procedurally.

5. Evidence of Delivery

The following evidence demonstrates strict compliance with the CCM 18 requirement:
CapabilityVerification Evidence
CentralizationEvidenced by [Data Lake]: The existence of a single governance tool for creating and managing databases proves the centralized nature of the system.
IntegrationEvidenced by [Import from File]: The “Upload File” capability is the direct mechanism for integrating with “Existing Systems” that export to standard formats.