Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customersí datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones.
More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneiderís long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
Most organizations appreciate the potential benefits that customer can reap but many face difficulties effectively turning information into actionable insights. Read this white paper to learn how an effective customer analytics strategy can help drive top-line growth, avoid unnecessary costs and increase customer satisfaction. Understand where your organization is in its pursuit to gain deeper customer insights with four stages of organizational capabilities and associated customer analytics strategies: gain insight from the information explosion; share information internally and across value chain; move from reaction to prediction; and adapt business models that enable faster creation of value.