Data analytics is used by enterprises to extract valuable insights and develop a deep understanding of the patterns existing in raw data. However, many small and mid-sized enterprises have problems in terms of analyzing data from multiple tools in their ITOps. Making sense of data derived from multiple touchpoints in real-time is critical to meeting customer expectations. Operations teams need solutions to make sense of their data, so they can ensure outages are prevented with proactive resolution.
Netenrich’s platform combines disparate and ever-expanding data from multiple sources, views, and alerts to help businesses look up and act on the most recent and contextual intelligence. Our comprehensive analytics framework provides actionable recommendations while reducing the need for skill dependencies and subjectivity. Analytics is built on robust microservice architecture and a big stack comprising of Janus Graph, Elastic, Kafka, and Cassandra to support on-the-cloud machine learning and provide internet-scale analytics.