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