Modern, data-driven businesses want to move from fire-fighting to proactive support patterns. The Anomaly Detection Platform provides a configuration-driven, adaptive data pipeline for identifying, classifying, and visualizing anomalies in device telemetry or customer behavior, for proactive support and maintenance, improved customer experience, and reduced customer churn.
Building on top of LIMA's Modern Big Data Platform and utilizing the full power of latest algorithms, the Anomaly Detection Platform automatically identifies anomalous behavior in independent events, shows correlations across events to define higher level patterns, and enables data exploration through custom interactive dashboards.
Time series anomaly detection
Supports dynamic data schemas
Interactive and exploratory visualizations
Fully DevOps enabled
Built on PaaS services
Ideal Solution for solving challenges for big data driven industries
When you're dealing with massive amounts of data every day, detailing every user interaction or every system event, how do you spot the unusual activity before it's too late?
The sheer amount of data to process often means that issues that could be identified through manual or ad hoc reporting are already having consequences on customer experience or, even worse, customer churn, before action could be taken.
In addition, identifying patterns and understanding correlations between the seemingly unrelated events is practically impossible due to the sheer size of the data, number of different event types and massive variations in quantities of scale between the different events.
And finally, seasonal variations - at daily, weekly, and monthly aggregations - means that manually identifying behavior or activity as unusual is subjective and requires in-depth domain and product knowledge.
A turnkey solution to proactive support
Built on top of LIMA's Modern Data Platform, the Anomaly Detection Platform is a dynamic, automated, intelligent system that can reliably recognize and ultimately predict patterns of unusual activity across an entire set of telemetry data that could impact on customer experience.
The platform is designed to be maintenance free, so new types of events appearing in the data are automatically detected and added to the processing logic, and user alerts are sent. Dynamic data schemas are controlled via simple configuration meaning the processing pipeline are adaptive to future data and schema changes, yet can also be easily configured for specific scenarios if necessary.
A series of interactive and dynamic exploratory dashboards are provided, giving on-demand access to the latest data and enabling interrogation of anomalous activity at a macro level, seeing correlations across independent events, and drilling down into the underlying raw data.
The entire platform is DevOps enabled – deployable automatically through a set of declarative templates and scripts that formed part of a continuous integration and deployment process.
Eliminate alert floods and alarm spam
Getting hit with alarms every time some threshold is violated? Dynatrace consolidates all related performance issues into a single actionable notification. Less noise, more problem-solving.
Focus on the problems that really matter
Not every threshold violation is a problem, and not all problems are created equal. Artificial intelligence determines whether an anomaly has an actual or potential impact on customers.
Automate dynamic problem detection
Dynatrace integrates multidimensional baselining and predictive analytics to automatically detect when things aren't behaving as expected. Get notified only when something needs your attention.
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