An immense amount of data is being collected by IT systems—up to 1TB per day for many organizations. It is created by the day-to-day use of potentially hundreds of interrelated systems, as part of typical IT datacenter and cloud operations. The data can indicate areas of concern or poor performance, areas of under- or over-utilized system components, and areas of focus for potential performance improvement. However, there is far more data, and too many contextual variables, for people to manually interrogate. Advanced IT Operations Analytics tools can search & mine this "big data" to quickly isolate root causes and resolve problems. Register for this webcast to learn more.
The Speaker
Pandit Prasad, IBM Product Manager, IT Operations Analytics, Cloud & Smarter Infrastructure, IBM
Prasad currently leads the Product Strategy & Management for IBM’s Analytics portfolio of products. Prior to that he led the global product marketing team at IBM for the Cloud Portfolio of products (Application Performance Monitoring, Big Data, Analytics Platform – Log & Predictive Analysis, Cloud and Virtualization). Earlier, as an IT Architect working for PwC and other consulting companies he implemented ERP, CRM, Data warehouse applications for several Fortune100 companies.
For More Information, visit us on the web at:
http://www.ibm.com/it-operations-analytics
Follow us:
#itoa
Servicemanagement360.com
ITOA Community
Service Management Connect