Operational Intelligence (OI) for Advanced Process Intelligence makes it possible for organizations to monitor the progress of strategic initiatives by providing real-time visibility into critical business processes that impact customer experience, operating costs, service-level agreements (SLAs), and key performance indicators (KPIs).

Intelligent Business Activity Monitoring (iBAM) is the process used to detect compliance and risk issues within financial and operational activities. Better than just a snapshot at the end of the week or month (such as with standard BAM tools), iBAM enables immediate action to be taken.

Information security describes the collective role of policies combined with network and security devices, from identity and access management applications to vulnerability management and policy compliance tools. Security Information Event Management (SIEM) describes the process of identifying, aggregating, analyzing, and presenting the artifacts created by these policies and devices. Organizations implement SIEM to gain situational and operational awareness through a series of processes that include auditing log files, monitoring the impact of system changes, reviewing incidents, responding to security breaches, and managing user access privileges.

As energy consumption rises, energy producers and utilities continue to deploy Demand Response programs to help reduce peak period pressure on the electric utility infrastructure. Successful Demand Response programs have demonstrated significant load reduction and cost savings. With smart metering and smart grid technologies deployments becoming more common, Demand Response programs can be optimized to receive real-time data on supply/demand characteristics and pricing inputs.

Traditional network-centric service assurance solutions lack insight into customer behavior as well as the impact of network performance on their customers. As a result, call centers are overloaded as mobile communications service providers (CSPs) attempt to resolve customer issues and meet service-level agreement requirements using historical data and reactive processes.

Government organizations and agencies are challenged with aggregating multiple sources of data and analyzing that data to discern and alert other agencies, and sometimes, the general public, of impending events in time to take action. They must pull together multiple different reports, reporting systems, and historical databases before recommending an action.

While the Big Data buzz is making headlines, Operational Intelligence (OI) is fast-becoming a genuine force in deriving real-time visibility and continuous insights for immediate action, as we will see in a series of compelling use cases, starting with the Financial Services industry.

With Advanced Process Intelligence the time-to-identify and correct broken processes is greatly reduced, enabling operations to improve customer-facing processes across all systems to increase customer loyalty, improve compliance management, and reduce costs.

Only an Operational Intelligence platform provides elastically scalable OI to meet your real-time Big Data challenges, with ease, on-premise or in the Cloud. A multi-tiered, multi-threaded clustering OI architecture allows for in-memory processing of all analytics and dynamic workload assignment.

Only an Operational Intelligence (OI) platform can unify continuous, real-time analytics on Big Data in a single, actionable view. With an OI platform, users can compare, combine, and monitor a wide variety of data sources, from Hadoop to complex events, in a simple, live dashboard. Additionally, users can easily perform predictive analysis by correlating past, present, and future events to forecast next-best actions.