Data Integration

Combine data from multiple sources and transform it into relevant information

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Managing an overflow of data from various sources can be challenging. Data Integration is the process of effectively consolidating data, which requires domain expertise and significant resources.

Whether you need to consolidate internal data or merge systems between multiple companies, we can provide you with solutions.

KNOW YOUR NEXT STEP


Comtrade SI will help you with Data Integration process enabling you to turn data into business decisions. With our experts’ assistance, your Big Data will become accessible to all required users.

The following approach enables us to address all aspects of data lifecycle flow needed for successful implementation of Data Integration process in your organization:

  • Profiling your data sources and performing data quality assessment,
  • Establishing data governance strategy,
  • Designing data integration based on requirements and project context (data migration, data warehouse implementation, master data management etc.),
  • Developing and implementing of data integration project,
  • Assuring seamless coordination of diversified databases, software, equipment, and personnel into a smoothly functioning system.
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Access

All locations and sources –
from cloud to local


Integrate

Both structured and
unstructured data


Deliver

Data when you need
it the most

COMTRADE DATA SERVICES AT A GLANCE

If you need to:

  • Setup organization for data governance
  • Access quality of data sources
  • Define logical data warehouse architecture
  • Select among technologies and vendors
  • Use and adapt industry data models
  • Improve performance of data warehouse and BI reports
  • Design effective information visualization
  • Assure Just in Time information delivery
  • Derive business value from your data using advanced algorithms
  • Define Big Data Roadmap and use cases

We are here to help your business grow!

WHAT IS DATA INTEGRATION?

Data integration is a complex process of combining and blending data from various sources in order to create a unified view of the data. This provides organizations with a complete picture of their businesses as well with a solid ground for further actionable analytics