Integration Architecture and Real-Time Data Flows

Service Overview

Integration processes often fail not due to programming itself, but because of shortcomings in design and operations—such as unclear responsibility assignments, inconsistent data definitions across systems, weak input validation, limited exception management, and the absence of systematic reconciliation. These issues result in disrupted customer journeys, financial discrepancies, and recurring incidents that require continuous manual intervention, increasing operational risks.

We develop advanced enterprise integration solutions using APIs, microservices, and integration platforms (ESB/iPaaS) to connect internal company systems like ERP and CRM with external systems, including suppliers, banks, and government entities.

Our solutions ensure automated, flexible, real-time data flows, eliminating data silos, improving data accuracy, and providing the organization with immediate, comprehensive insights for faster, more confident decision-making.

Our service focuses on building robust, auditable, and operationally stable enterprise integrations to streamline processes and reduce reliance on manual interventions. The service includes:

- Designing the integration architecture and documenting interface specifications.
- Defining data transformation and mapping rules, and building pre-validation mechanisms.
- Managing errors and retries, and establishing reconciliation gateways to ensure data integrity.
- Implementing operational monitoring and runbooks to support business continuity in both real-time and batch scenarios.

Through this service, we aim to enhance integration reliability, improve customer experience, and reduce operational risks associated with repetitive manual processes, enabling the organization to operate more efficiently and make faster, more accurate decisions.

Required Documents

System landscape and integration inventory (systems, interfaces, frequency, owners)

Data definitions and mapping rules (source fields, target fields, reference codes)

Samples of payloads/files (successful and failed examples)

Error logs, exception tables, and known failure scenarios

Non-functional requirements (latency targets, throughput, availability, security constraints)

Acceptance criteria (reconciliation reports, control totals, success KPIs)

Access to environments and endpoints for testing and verification

What's Included

Design and implementation of reliable enterprise integrations to ensure accurate and timely data transfer

Preparation of integration architecture and interface specification documentation

Definition of data transformation rules and mapping between systems

Implementation of pre-validation mechanisms, error handling, and retry logic

Establishment of reconciliation gateways to ensure data quality

Setting up operational monitoring and runbooks to ensure continuity

Supporting real-time and batch processing scenarios

Enhancing workflow reliability and reducing reliance on manual interventions

Service Execution Steps

1

Initial Meeting and Current Environment Analysis

Reviewing system maps, interfaces, and current data flows

2

Data Collection and Mapping Definitions

Receiving database rules, message samples, error logs, and performance requirements

3

Integration and Flow Design

Defining paths, transformation rules, exception handling, and reconciliation gateways

4

Integration Implementation and Operational Mechanisms Setup

Developing the integration, setting up monitoring, and validating test environments

5

Integration and Reconciliation Testing

Performing real-time and batch tests and validating data quality

6

Final Delivery and Documentation

Delivering interface specifications, integration registry, runbooks, and known issues log

Integration Architecture and Real-Time Data Flows

Service Overview

Required Documents

System landscape and integration inventory (systems, interfaces, frequency, owners)

Data definitions and mapping rules (source fields, target fields, reference codes)

Samples of payloads/files (successful and failed examples)

Error logs, exception tables, and known failure scenarios

Non-functional requirements (latency targets, throughput, availability, security constraints)

Acceptance criteria (reconciliation reports, control totals, success KPIs)

Access to environments and endpoints for testing and verification

What's Included

Design and implementation of reliable enterprise integrations to ensure accurate and timely data transfer

Preparation of integration architecture and interface specification documentation

Definition of data transformation rules and mapping between systems

Implementation of pre-validation mechanisms, error handling, and retry logic

Establishment of reconciliation gateways to ensure data quality

Setting up operational monitoring and runbooks to ensure continuity

Supporting real-time and batch processing scenarios

Enhancing workflow reliability and reducing reliance on manual interventions

Service Execution Steps

Initial Meeting and Current Environment Analysis

Data Collection and Mapping Definitions

Integration and Flow Design

Integration Implementation and Operational Mechanisms Setup

Integration and Reconciliation Testing

Final Delivery and Documentation

Service Benefits

Ensuring accurate and timely data movement between systems

Reducing integration failures and recurring operational issues

Improving data traceability and accelerating error diagnosis

Enhancing financial and operational reconciliation reliability

Reducing reliance on manual processing and operational risk

Supporting scalability and confident handling of high data volumes