Identify Anomalies
Don’t settle for threshold based alerts to gauge the health of your business. Instead, look at AI driven contextual anomalies to help you stay alert about hidden trends in your data.
Big data brings big challenges. How are you dealing with them?
Challenges
Blind spots in business
Huge volumes of data often creates business blind spots, preventing you from identifying and acting on hidden trends.
Delayed alerts
Traditional alerting mechanisms wait till a threshold is reached before alerting the business, increasing their impact.
Inaccurate forecasting
Errors in forecasting can catch businesses unawares, leaving them with sizeable losses, both monetary and otherwise.
Missed opportunities
Inability to derive relevant and timely insights from your data can lead to missed opportunities that could have otherwise been capitalized on.
How We Can Help
CrunchMetrics is an advanced anomaly detection system, that leverages the combined power of statistical methods and AI-ML based techniques to sift through your data to identify incidents that are business critical in nature.
Know the unknown
Identify anomalies that are hard to detect
Discover opportunities
Figure out newer areas to stay profitable
Focus on trends
Act on business-critical issues. Fast
Pay-as-you-grow
With a scalable SaaS platform
CrunchMetrics
Anomaly Detection
AI- Automated, Real-Time Detection
- Powered by AI, ML
- Self-Learning Algorithms
- Seamless Integration
- Flexible Output Channels
- Vertical Agnostic Solutions
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A leading payment service provider substantially improved their payment success rate by leveraging deep learning algorithms.
A next-gen e-commerce marketplace platform was able to bring down pricing errors and mis-promotions by monitoring contextual anomalies and hence improve CX.
A tier 1 telecom operator was able to bring about significant improvement in network performance through automated tracking early indicators.
Telecom Anomaly Detection
Use anomaly detection to stay competitive despite decreasing margins and increasing cost pressures in the telecom industry.
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Retail Anomaly Detection
Make the most of the abundantly available data in retail and e-commmerce with advanced anomaly detection.
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Fintech Anomaly Detection
The stakes are huge in FinTech, and the detection and response to anomalies carry more weightage than perhaps any other industry.
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Mitigate Risks
Take actions before your business gets impacted. Identifying anomalies in near-real time is the key to minimize their impact on your business.
Risks
Discover Opportunities
Unlock possibilities with automated insight discovery powered by augmented analytics. Capitalize on hidden opportunities that can be uncovered from your data.
Opportunities
TESTIMONIALS
What They Say
REVIEWBusinesses today are generating massive amounts of data. Discovering opportunities or insights using traditional BI systems or rules-based systems is becoming harder and more expensive, slowing the take-up data-driven automations. 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.
JUSTIN VAN DER LANDE
Principal Analyst, Analysys Mason
LATEST VIDEOS
What We've Said
Video
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AGBA 2019
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Types and Representation of Anomalies
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Proactive vs Reactive approach in Anomaly Detection
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