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Solutions
Data Virtualization
Data Virtualization provides a modern approach to integration by meeting the data where it resides as opposed to traditional ETL/DW approaches that replicate data across siloed data marts and data lakes. Instead, a unified data view is presented to consumers with a layer of abstraction from the underlying data sources with the highest degree of query optimization for reporting purposes and the utmost data quality through elimination of unnecessary data movement.
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Business drivers for Data Virtualization
- Data Migration without business impact
- Data Modernization from Legacy to Cloud-based architectures
- Logical Data Lakes and Data Warehouses
- Data Abstraction from Legacy Systems
- Agile BI through accelerated data access
- Unified data governance and access control
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Increased Revenue
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Improved process efficiencies and lowered Operating costs
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