Enterprise Data Warehousing

Transform your data into business intelligence with Heights Enterprise Data Warehousing services.

Our engineers leverage our alliance with Oracle and employ a metadata-driven, top-down or bottom-up development approach to design strategic, scalable data warehouses that equip users with complete, consistent, accurate, and accessible data from sources across the enterprise. We use best-of-breed tools to offer a range of class-leading business-centric data marts, custom data warehouses, and pre-built data warehouses for sharper analyses and business-decision making:

Key benefits

  • Optimized business information management and access, with streamlined metadata management, data retrieval, migration, and masking processes
  • Efficient Enterprise Data Warehousing with open bus architecture for greater business agility
  • Deployment of smarter and cost-efficient technologies with minimal disruption
  • Improved data quality and reduced risks
  • Reduced costs and optimal resource utilization
  • Enterprise-wide scalability
  • Metadata management and reporting

Metadata Management Services

Streamline metadata management for more meaningful business information with Heightsbusiness and ETL Metadata Management services. We cater to a wide range of industries and our offerings span the entire spectrum of an organization’s reporting, tuning, and de-duplication needs. Our metadata-driven development approach assigns a high priority to master data—the static core data at the heart of an organization—which encompasses information about customers, commodities, materials, employees, and locations. Using this approach to designing data warehousing and business intelligence (BI) systems, our engineers

  • Evaluate client data and examine information completeness, accuracy, and relationships
  • Analyze metadata to ascertain existing but obscured information
  • Build accurate, consistent information for use in customer communication
  • Migrate business metadata across BI tools
  • Assured metadata consistency
  • Improved data quality and reduced risks
  • Optimized business information management
  • Enterprise-wide scalability
  • Reduced personnel and maintenance costs