ECI offers ELASTIC Analytics service for network optimisation
ECI has introduced the ELASTIC Analytics suite of network services. These new services employ advanced algorithms, machine learning and big data analytics to provide network operations and planning departments with the insights to properly maintain, design and re-engineer their networks.
‘At ECI, we are dedicated to helping our customers be flexible and well-briefed, so they can quickly adapt to change and make educated decisions in real-time. ECI's ELASTIC Analytics are specifically tailored to enable network operators to make proactive, knowledge-driven choices that will help them to stay ahead of the curve, meet their SLAs, afford a competitive edge and reduce costs,’ said Assaf Tiran, VP, head of global implementation and maintenance services at ECI.
Currently, two services are on offer: Multi-Layer Traffic Engineering and Optimization and Preventive Maintenance.
Multi-Layer Traffic Engineering and Optimization collects multiple sources of data, analyses them using machine learning and a GIS-based methodology to deliver insights that enable network architects to more intelligently build their networks, reclaim their resources and ensure new services are smoothly introduced. It provides better visibility of single points of failure as well as bottlenecks and can predict the impact of pending failures. This helps network engineers to provision services, offset traffic congestion and optimise network efficiency, the company claims.
Predictive Maintenance conducts daily audits of every element in the network, whether from ECI or a third party, starting at the embedded level. The early warnings provided by this real-time intelligence can be used to pre-empt pending faults and failures, so service availability is ensured. This improves the overall customer experience and substantially strengthens customer loyalty.
Tiran added: ‘Network operations usually require the manual accumulation and analysis of a considerable amount of data from various sources. The sheer amount of data which is required to properly maintain and design networks makes this a long and arduous task, especially as networks become more complex. Elastic Analytics' advanced algorithms enable organizations to unify their network provisioning processes and help them bridge the gap between goals and actual performance, thereby unlocking their business potential.’
ECI points out that advanced analytics services will become increasingly relevant as networks become more complex with the proliferation of 5G, the Internet of Things, and machine to machine connections.