Modern Integration

Connect and share data across different systems

In today's digital ecosystem, organizations need to be able to connect and share data across different systems.
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Your ecosystem, integrated

Integration is the practice of connecting software systems, allowing people and software to work together. Integration of your data and systems allows your business to be more flexible, automate processes, simplify solutions, and reduce time, and costs.

Automating the connections between the systems and the user with a flexible loosely coupled system integration improves your system's ability to automatically process data, increases the delivery rate by supporting event-driven real-time architectures, and expands your users' ability to self-service.

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  • Enterprise Application Integration(EAI)
  • Business to Business(B2B)
  • Business to consumer(B2C)
  • Cloud(Azure & AWS) & Cloud Hybrid
  • On-Premises(BizTalk Server & Informatica)
  • EDI(Health Care and Retail) & FHIR
  • API Architectures(REST, gRPC, graphQL)
  • Microservices
  • Robotic Process Automation(Automation Anywhere, UI Path, Power Automate)
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5 Key Considerations for Successful Data Integration

  1. Identify your data sources
  2. Plan your data model
  3. Choose an integration approach
  4. Cleanse and transform data
  5. Test and validate
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