In dynamic data centers, the key to deriving real value from business intelligence is having an appropriate balance of tools and technology innovations to extract the right info that will help the business grow and provide better service to its customers.
Predictive analytics can be a powerful tool for exploiting the untapped reservoir of business intelligence and opportunity. Leading organizations apply predictive analytics to their business lines and are able to discover meaningful patterns that may be hidden within their data. This data can lead to improved business opportunities and performance—plus provide a distinct advantage over their competitors.
A growing trend to simplify the complexity of producing valuable business analytics in today’s dynamic data center is DevOps. A DevOps approach bolsters efficiency through improved communication, collaboration and integration between software developers and other IT professionals. But DevOps isn’t just improved collaboration between developers and operational support. The goal of DevOps is to get every individual IT silo within the enterprise to integrate and collaborate to achieve business goals. And, as with any IT endeavor, automation is key to attaining success.
Predictive Analytics Improves Data Center Responsiveness
The “heartbeat” of the dynamic data center—and closely aligned to DevOps—is workload automation and related predictive analytics. Combined, they’re the “glue” that brings IT and business together in a carefully choreographed, strategic business model.
Application workloads can be managed using cross-enterprise workload automation systems and spread across multiple System z and distributed infrastructures, deploying thousands of processes. The opportunity to apply predictive analytics for DevOps operations isn’t limited to business data; it must be applied to operational data that’s gathered by, and used for, IT processes and business services.
Critical business and operational data is rich with untapped potential, but extremely difficult to correlate using traditional methods of reporting and analysis. Valuable DevOps knowledge can be obtained from these analytics, enabling IT to improve responsiveness and optimize its business opportunities.
Disruption in the Data Center
Just coping with the current rocketing growth and rapid need for analytics is a full-time job in many organizations. Beyond the practical problems of gathering and collating data itself under some sort of coherent management, IT must confront the immediate challenge of meeting the fast-changing demands of business.
But there’s disruption in today’s data centers. Business needs are changing the relationship between consumers and corporate IT. In the past, IT and business teams managed separate silos of responsibility. Today, IT and business teams must improve collaboration and understanding to drive business growth. Business groups are increasingly acquiring and managing their own technology assets (also called “Shadow IT”). These trends can create risk, increase costs and impede IT innovation to deliver in a dynamic data center.
IT must be viewed as the “new innovators” in dynamic data centers. IT staff must move from just maintaining technology to delivering business innovation that will help their company be successful. They must research, evaluate and acquire reliable, easy-to-implement business analytics solutions that actually improve their velocity to provide business services. The value of IT to the business translates to:
• Transforming and delivering real savings to the business to free up resources and improve efficiency
• Taking a customer-centric approach to drive a fantastic end-to-end experience that proves real value
• Accelerating the pace at which IT delivers real innovation.