Innova Solutions > Anomaly Detection

Threshold-based Anomaly Detection

Traditionally, the industry is using threshold-based anomaly detections for realizing business use cases. Here at Innova, we perform threshold as well as frequency-based detection, and  ‘human-like’ pattern-based anomaly identification, by recognizing anomalies across multiple data streams.

Our Anomaly Detection solution is an unsupervised, feedback-based solution to check data anomalies that learn with time and get better with more data and feedback.

Our detection service aims to automatically detect unanticipated behavior of processes and assets, using time series data.

What makes us different?

Domain Agnostic
Domain independent real time solution that can run on any variety of data set (categorical/numerical)

Feedback Based
Captures the feedback on correctness from the users and trains accordingly to perform effectively on new data sets

Simple UI
User-friendly interface that lets you define data sources and filtering criteria

Associate Action
Custom rules definition UI allows to define complex business rules to perform alerts/actions based on anomalies observed across metrics

How we can help you?

Ease of data source configurability

Visualize and monitor streaming metric’s anomaly scores

Create actionable alerts using anomaly score aggregation across streams

The solution is self-evolving; it continuously learns and adapts to changing patterns with time

Our Anomaly Detection services enable organizations to gain insights through a series of data patterns.

You have a dream?

We have a way to get you there.
Let’s connect and see how we help companies just like yours.