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Data Warehousing Solutions - Data Integration
Data integration is the pulse of a good business intelligence solution.

Our consultants and technical experts provide the framework to integrate data from various channels. Even if the channels are disparate sources—legacy applications, operational systems, data warehouses or data marts, external sources, web applications, and web click stream—our expertise brings them together into one user source. A comprehensive approach identifies the structure, processes, and tools to put quality, auditable information in your hands with such techniques as ETL, EAI, EII, web services, database management, and business rules engines.

Data Warehousing Solutions - DWH readiness Assessment
Source One examines your organization’s readiness for data warehouse development. Plan to leverage strengths, to mitigate risks, and to strengthen areas of weakness and develop an effective strategy for moving forward.

Readiness Assessment and Prioritization projects typically include the following activities:

• Interview key business and IT sponsors and stakeholders.
• Analyze critical business requirements, executive commitment, and core technical issues.
• Facilitate a management session to review findings, identify priorities, pinpoint justification and secure commitment.
• Recommend an overall strategy for delivering a data warehouse, including project scope, overall methodology, and guidance on data warehouse architecture and data delivery.

Data Warehousing Solutions - Data Warehouse Architecture Planning
We help you define data warehouse architecture. It is an analysis process. Its purpose is to understand the needs and requirements of the business. We avoid the urge to focus on solutions when developing architecture. Strive with architecture to establish standards for consistency and integration among warehouse increments. Then defer specific decisions about solutions to the appropriate implementation project.

Data warehouse architecture defines the overall purpose, goals, structure, and standards for the data warehouse, and describes the plan for its development and implementation. Architectural development begins with goals and drivers of the business, and concludes with a plan to incrementally implement a data warehouse that supports those goals.

Starting with business goals, develop a business architecture describing how the business plans to meet its goals and the role that technology will assume in that plan.
Use the business plan to help define a technical architecture which describes the data, application, and technology structures necessary to implement business and technology plans.

 
 
   
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