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Data Warehousing

Corporate Technologies' data warehousing solutions represent a complete end-to-end strategy from data movement and transformation, metadata management, data access and manipulation. 

Data warehousing projects are complex and detailed initiatives requiring time-test and proven design and development approaches, methods and techniques.  Corporate Technologies will guide you and support your efforts at every step in the process: 

  • Data Selection – Not every data asset in your organization is relevant to your data warehousing initiative. We help you determine the data assets strategically necessary for decision making and integrate only those assets into the data warehouse.  
  • Data Extraction – Using best-in-class technologies, those data assets selected for your data warehouse are extracted from source systems and repositories across your enterprise.
  • Data Transformation – Data representation is transformed from a variety of coding structures among the data sources into one structure
  • Data Integration – All data from source systems and repositories are combined and integrated into a standardized and optimized source.
  • Data Assurance – Cleanses and validates data to meet your quality requirements and expectations.  Errors may require a manual or automated process of correction.
  • Data Preparation – Prepares data for loading, data is first backed-up, the sources and data are sequenced in preparation for loading into your data warehouse. 

Selecting data warehousing technologies can be a complex task because no one vendor provides a fully integrated set of products to support all the necessary components of a data warehouse. We are very experienced with all the tools and technologies used to implement and operate a data warehouse from data cleansing and extraction, transformation and loading (ETL) to on-line analytical processing and exception reporting and alerting.  We have the expertise to test, install, configure and integrate the appropriate tools and technologies for the highest return on investment of your data warehouse initiative.