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Information Aggregation
Overview
The Information Aggregation business pattern is also known as User-to-Data, and it exists in e-business solutions that allow users to access and manipulate data that is aggregated from multiple sources. This Business pattern captures the process of taking large volumes of data, text, images, video, and so on, and using various user-controlled tools to extract useful information from them.
Information Aggregation Examples:
Strategy and Planning
Senior Management Decisions
Business Strategy Planning
Transaction Summary and Tracking
Statistical Analysis |
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Product Analysis
Product Competitiveness Analysis
Brand Management |
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Marketing Analysis
Identify markets
Identify prospective customers
Contact customers
Manage the marketing process |
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Sales Management
Follow through on marketing leads
Manage the sales process
Identify cross-selling opportunities |
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Service Management
Customer Service Analysis
Supplier Management
Business Support Services |
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Internal Process Management
Historial details summary
Fraud Detection
Risk Management |
What's Next
If you're not yet sure that your business problem can be solved by the functionality enabled through an Information Aggregation solution design, the Information Aggregation general guidelines page provides additional information on choosing this Business pattern. Business and IT drivers, the e-business context appropriate for this solution type, and additional solution details are discussed here.
If you believe the Information Aggregation pattern can solve your e-business problem, but are not familiar with the basic concepts of business intelligence, review the Fundamental Information Aggregation concepts page.
If you've determined that the Information Aggregation business pattern can provide an appropriate solution design for your business need, the next step is to select an Application pattern. The Information Aggregation business pattern can be implemented using the base Application pattern or its two variations, providing solution flexibility so that the determined pattern can address the specific needs of the business process being automated. If your choice indicates the need for a derived data store (e.g. data warehouse, data mart etc) or index you will later probably want to review the Application Integration::Data Integration application patterns.
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Patterns for e-business naming conventions
The Patterns for e-business naming conventions can be seen here.
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Updated Information Aggregation pattern
Updated: 04-04-2006
Added new product mappings to the User Information Access application pattern.
New Information Aggregation pattern hierarchy
Updated: 12-14-2004
The Information Aggregation pattern hierarchy has been updated on the Patterns for e-business Web site.
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Feasibility: This material will help you determine the high-level shape of an Information Aggregation solution and ensure your approach looks like other successful implementations. Reusing prior approaches is an effective way to begin most major projects. Obviously, modifications are needed for any unique requirements of a given set of partners. This pattern provides a walkthrough from high-level architecture to low-level designs and guidance.
Risk: Basing new projects on prior designs and ideas helps to lower the risk of failure. Creating or inventing approaches for each project tends to result in a lower success rate. Frequently, projects begun "from scratch" simply do not work and have major exposures in such areas as security, performance, availability, and cost overrun. The theme of reuse is "Do it like this: This works!"
Cost-benefit: By starting with reasonably complete architecture, you can save considerable development time and can obtain assurance that the end solution will have a much higher chance of success. Actual savings will vary, but project teams have realized a substantial reduction of work effort in their design and architecture phases alone.
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