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DATA WAREHOUSING
Architecture
Data Integration
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ARCHITECTURE

Choose the Right Foundation
Sense Corp has the technical know-how to help companies assess all of the necessary input factors and determine a technical architecture that best meets the needs of the organization. Setting up the right architecture can be challenging, and selecting the wrong architecture components can be detrimental. The Sense Corp data warehousing methodology includes a technical architecture assessment phase.


Size It for Your Current Needs and Future Growth
Many organizations begin data warehouse projects with a pre-defined architecture and an assumption that this will meet their requirements.

Technical architecture definition is dependent on business requirements, enterprise standards, available funding, and long-term growth plans. Understanding the scope and priority of business requirements helps determine a range of technology solutions.

The foundation for a robust data warehouse is the technology architecture. The following are key considerations:
:: Business Intelligence - reporting, analytics, and performance.
:: Data Warehouse - data volume, latency, granularity, and storage.
:: Systems Integration - application and partner integration.
:: Information Technology Strategy - enterprise standards for hardware, software, and networking.
:: Funding - budget for near- vs. long-term.
   
Setting up the right architecture involves a review of both the hardware and software (e.g., ETL, middleware, database, etc.) components.


 

 

Sense Corp partners
with you to define
a technical architecture
that matches your needs.
 

 

 
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