Data Integration, Data Cleansing and Data Migration

Data integration is the process of standardising the data definitions and data structures of multiple data sources by using a common schema thereby providing a unified view of the data for enterprise-level planning and decision making.

As data integration professionals, EC Integrators assist our clients in successfully delivering data integration projects to time and to budget capitalising on our clients’ technology investment.

EC Integrators can assist you with:

  • Data Integration Architecture

    • Data Integration Strategies
    • Data Modelling
    • Solution Architecture
    • Tool Assessment
    • Implementation Planning
    • Project Management
  • Data Integration Implementation

    • Analysis
    • ETL Specifications
    • Development
    • Testing
    • Deployment
  • Knowledge Transfer and Training

Data Cleansing

Data cleansing is the process of detecting, correcting or removing incomplete, incorrect, inaccurate, irrelevant, out-of-date, corrupt, redundant, incorrectly formatted, duplicate, inconsistent, etc. records from a record set, table or database.

EC Integrators specialises in tools and services that verify the accuracy of legacy databases and map the data to the new systems to achieve accurate, clean and error free data.

EC Integrators can assist you with:

  • Detailed business requirements

  • Detailed data analysis based on business requirements

  • Data Profiling

  • Data Standardisation

  • Data Correction

  • Data Matching

  • Data Consolidation

  • Data Enrichment

  • Recommendations to resolve Data Quality issues

Data Migration

Data Migration is the process of transferring data between storage types, formats, or computer systems. This process is most often required when organizations upgrade to new systems or change computer systems.

Data Migration will often include data analysis, data profiling, data cleansing, data mapping and data transformation.

EC Integrators can assist you with:

  • Profiling both the Source and Target data

  • Identifying and resolving data quality issues

  • Designing, developing, testing and deploying ETL processes