Traditional analytics tools, while powerful for some applications, fall short in several dimensions. First, true real-time analysis means the instantaneous processing of streaming and/or asynchronous batch data sources. By definition, pre-calculating “cubes” and then viewing the results provides the user with fundamentally old information. Verilytics core engines are capable of monitoring and processing thousands of transactions per second across tens of thousands of complex operators and business rules on a single CPU. The information you view is always based on the most currently available data.

Second, ad hoc analysis is more than just changing the layout of a report or adding columns. Business users, not just IT, should be able to easily modify the business logic behind the report and then immediately view the new analysis. Using the tools provided in Verilytics application platform, business users can easily modify complex business logic (dimensions, drill paths, etc.) and view the results in a matter of minutes.

Finally, traditional analytics tools are request oriented, requiring users to constantly search for important insights or critical exceptions. Verilytics solutions continually monitor data across disparate systems against complex user defined business rules and then generate alerts based on the results.

Using our application framework and analytic engines, business users can rapidly create and modify real-time Views into their business that:

• Incorporate their business logic and domain knowledge
• Aggregate and analyze data from multiple streaming and batch data sources as soon as it changes
• Continually monitor complex business rules for critical exceptions
• Can be easily modified for ad hoc analysis on the most current available data
• Dynamically re-map and classify data based on current attributes
• Evolve and maintain reports sharable by users and groups (pending privileges to do so)

Low Cost of Ownership

• End-users can be empowered to manage their own business logic, freeing IT to work on more strategic initiatives
• Rapid implementation - delivering a return on your investment in as little as 8 weeks
• Additional data sources easily added
• Standards based - web native, Java based, J2EE compliant
• Memory resident calculations do not require maintenance and synchronization of a reporting DBMS.

Reduced System Overhead

• Query load on underlying native data sources is minimized - our applications serve as an abstraction layer between the data and the analysis
• Improved Scalability - multiple users can manage their own views into the data without effecting performance (non-repetitive reads and/or calculations)

Leverage Current IT Investments

• Solutions are read only, leaving data in other systems untouched
• Easily configured to leverage other authorization/permissioning systems (no need for multiple user models)

Read more about our architecture and key differentiators