Boston-based 4Sight Technologies has announced the availability of its em360 enterprise performance and optimization software suite, which is designed to enable data-driven decision making across an organization based on intelligence gathered from disparate company-wide systems. Its core components, Resource Optimization and Business Intelligence, maximize performance, improve enterprise efficiency and promote a culture of continuous improvement, the vendor claims.
The platform addresses and appetite to improve efficiency and effectiveness while decreasing operational costs, according to 4Sight CEO Hernan Clark. “The 4Sight em360 Enterprise Performance and Optimization Platform uses data from established IT resources to create a higher level of visibility across the enterprise, enhancing the value of the current investments and generating actionable insight,” Clark comments. “The resulting intelligence intertwines IT and corporate thought processes to drive business-wide transformation.”
The em360 platform is implemented as an additional layer of a company’s technology stack, enhancing current IT investments, according to a 4Sight statement. The Java-based platform minimizes necessary on-site resources while maximizing processing power, and offers a streamlined, consistent user experience from any operating system on any computer, the vendor asserts.
4Sight describes the main components of em360 as follows:
Resource Optimization: Powered by the intelligent and intuitive technology of a constraint-based scheduling engine, this application is designed to increase visibility and support the planning of complex, interrelated projects that share limited resources. Reinforcing the use of control standards throughout the organization, Resource Optimization diminishes downtime, improves productivity and reduces costs through automation.
Business Intelligence: This robust system compiles data from multiple, distinct databases into supercubes for analysis. By identifying key performance indicators and employing predictive analytics, executives and management can use historical data and “what-if” scenarios to make strategic, data-driven decisions for the future.