Subex, a leading telecom analytics solution provider, announced the launch of a new brand, CrunchMetrics, an advanced anomaly detection system designed to help organizations discover business opportunities and mitigate risks in real-time.
It leverages the combined power of statistics, Artificial Intelligence (AI) and Machine Learning (ML) to sift through data and identify anomalies that are a representation of business impact. CrunchMetrics is vertical agnostic and has a wide range of use cases for Telecom, Retail and FinTech verticals at launch.
CrunchMetrics is a division of Subex Digital, a wholly owned subsidiary of Subex.
Rapid digitalization across industries today has led to a massive explosion of data volumes where years’ worth of data in the last decade is now being generated in the matter of a few hours. While organizations are doing reasonably well to capture and store this data, the mechanisms to truly make use of such huge volumes of data are unable to match the current volumes and velocity of data being generated. Due to this challenge, organisations fall short of responding to significant changes which can improve business critical functions. Addressing this gap, CrunchMetrics brings to the table real-time anomaly detection helping organizations find the ‘needle in the haystack’, thereby facilitating low latency decision making. Through the launch of CrunchMetrics, Subex aims to address a huge market that is expected to reach USD 4.5 Billion by 2022 and will to cater to a variety of verticals.
CrunchMetrics is a completely automated solution that enables organizations to identify business incidents that are otherwise hard to detect. Through self-learning algorithms, it evolves continuously basis insights acquired from the latest incidents. Some of the benefits include focused attention on incidents that matter, reduction in decision-making latency, ability to uncover new opportunities, and diminishing losses due to hidden trends.
Vinod Kumar, CEO and MD, Subex
We are delighted to launch CrunchMetrics, a new brand within our overall portfolio. The addressable problem and the market size is huge, and with our focused efforts and investments, we are confident of creating an impact by delivering value to our customers.
Justin Van Lande, Principal Analyst, Analysys Mason
An AI-based anomaly detection solution can help in enabling smarter decision making and reducing time to discovery by removing much of the complexity needed to model data trends and to quickly spot any changes to them.
