By adopting IT operations analytics strategies, enterprises can
improve operational ability with real-time analytics to identify
and resolve problems faster and predict emerging problems
(figure 3).
By analyzing historical data, enterprises can quickly
identify opportunities to streamline operations and reduce
costs by having a single view of end-to-end operational
visibility. A proven architecture that underlies predictive
maintenance is depicted in figure 4. Advanced analytics
powered by products that do predictive analytics (SPSS,5
COGNOS software) and data integration provided by
messaging software6 (e.g., Websphere Message Broker,
Infosphere Master Data Management Collaborative Edition),
which feeds a prebuilt database schema (e.g., DB2), are the
components that provide the solution.