Anodot relies on AI to detect real time data anomalies that might otherwise go unnoticed. With its ability to detect data irregularities as they happen, we implement it as a tool to empower our clients to react faster to either solve problems or, even better, exploit new opportunities.
The importance of anomaly detection
When something changes in the data stream, it often indicates a business disturbance. Real-time alerts are necessary to prevent negative impact on customer satisfaction/trust, revenue and most importantly your brand.
There are millions of data permutations, but only so much you can see on any given dashboard. Unsupervised anomaly detection can throw light on business blindspots, and generate real alerts for real issues.
‘The price of light is less than the cost of darkness” – Arthur Nielsen
An anomaly can also be premeditated. A boost in marketing spend for example, or the launch of a new and improved model. An increase in sales above the regular pattern could be an anomaly indicating that a new campaign is making a positive impact on sales. In this instance, anomaly detection can be used to measure the effectiveness of a new business initiative and help you better manage your resources.
In many real-life scenarios, business anomalies often require immediate action. If something has gone wrong with your ecommerce site on Singles’ Day, you need to fix it immediately, otherwise sales will be lost for every second an issue remains unsolved. Or if sales start to spike because Selena Gomez mentioned your brand on Instagram, you are going to want to know about it as soon as it happens so you can start converting likes and shares into sales.
You don’t know what you don’t know until you know it.
How Anodot works
Anodot offers automated anomaly detection that can detect real-time anomalies at large scale. It has the capability to handle millions of data points, and updates every second. It is powered by patented machine learning algorithms using the latest in AI research.
Anodot’s business incident detection solution automatically learns your streaming data’s normal behaviour, even seasonal or other complex patterns, and then alerts on any metric or combination of metrics that behave abnormally. This gives you the tools you need to detect and diagnose issues early, resolve them quickly, and take preemptive actions.
The advanced, robust algorithms can handle any number of data variables, intelligently correlating related alerts to avoid alert storms and enable faster root cause analysis. Anomalies correlated across multiple data sources tell a clear story of what is happening with the data, which can then either be investigated by human experts, or used as triggers for automated business actions.
By identifying the root cause of a problem you can immediately zero in on the issue. The end result is a powerful analytics solution based on AI, which enables us to help our clients react faster to solve problems or, even better, capitalise on new opportunities.