Data Integration
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​• Extract, transform, load (ETL) or extract, load, transform (ELT) setup and testing.
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​• ETL/ELT automation.
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​• Data virtualization.
Data Warehouse and Business Intelligence
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• Data warehouse and data mart creation and implementation.
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• Business intelligence and data analytics infrastructure design and implementation.
Master and Metadata Management
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• Master and metadata management strategy.
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• Data source assessment (both internal and external).
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• Master and metadata regionalization and de-duplication.
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• Standards and metrics for master and metadata quality monitoring.
Data Quality Management
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• Data quality assurance.
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• Data cleansing activities to eliminate duplicated, incomplete, erroneous or obsolete data.
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• Recommendations on and integration of additional data sources.
Data Governance
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• Data governance strategy design for data availability, quality and security.
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• Policies for user roles, rights, responsibilities etc., to ensure data consistency and proper usage.
Data Migration ​​​
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• Sensitive and critical data assessment.
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• Creation of Data migration plan.
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• Performing of Data migration automation.
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• Conducting of Data completeness testing.
