Service and Infrastructure Analytics
Agile businesses require intelligent solutions to optimize operations & ensure predictable business outcomes.
The world’s infrastructure is rapidly changing as it becomes more instrumented, interconnected, and intelligent. The resulting explosion of data creates a need for a new kind of intelligence to build an agile business. To harness this data, transform it into contextual-based information, and attain actionable insight requires IBM service and infrastructure analytics.
The pressing need for analytics-based service management solutions is clear for both organizations managing physical infrastructure systems such as electricity grids, transportation systems, and cities as well as those managing IT, networks, data centers, and clouds.
Enterprises need to change the way they manage their infrastructure by utilizing analytics. Current approaches have significant limitations and there is a need to move from a “break and fix” mentality to “anticipate and prevent.” Business decisions need to be based on facts and driven by real-time information; not instinct & intuition. These solutions should be easy to deploy & use and not require skilled analytics experts or mathematicians to garner significant value. IBM service and infrastructure analytics solutions have been built based on those tenets and provide organizations the ability to optimize operations and ensure predictable business outcomes.
Greater Efficiencies In Service Management With Analytics
To effectively leverage analytics uniquely across the service management space requires deep expertise in both analytics and service management and no company is better suited for that task than IBM.
From an analytics perspective, IBM has made tremendous investments in this space through a mix of acquisitions and internal R&D. Some of the large analytics acquisitions IBM has made in years past include SPSS, Cognos, iLog, and Netezza.
Also, through what is the largest private math department in the industry, IBM has made noteworthy leaps forward in analytics research and productized these proprietary technologies, from dealing with Big Data issues to incredibly scalable support of streaming, real-time analytics.
Far from just developing analytics technologies and applying them generically to various functional and industry issues, IBM has taken the necessary steps to uniquely apply analytics technologies to specific process areas, utilizing and integrating the most appropriate analytics technologies for the specific business challenge addressed.
In the operations & infrastructure management segments, this means applying analytics uniquely to IBM's service management domains including business service management, asset management, storage management, network management, and security.
Enhance Visibility, Control, & Automation with Analytics
Leveraging service and infrastructure analytics, organizations can optimize operations and ensure predictable business outcomes.