In today’s fast-paced and ever-changing digital world, data has become the key to analyze the past, manage the present, and discover the future. In fact, good data quality is crucial in minimizing the risk of failures and boosting the growth of your business. With DIGNA and it’s AI-driven anomaly detection algorithm, this can be accomplished effortlessly.
No matter if desktop, laptop or mobile device, due to private cloud and on-premise solutions, DIGNA can be accessed from anywhere and at anytime.
What’s more, DIGNA’s intuitive dashboard features considerably facilitate and accelerate the configuration and streamlining of projects. Merely a few clicks are required to connect DIGNA to vast data sources, run in-depth analyses and make fact-based and more accurate predictions.
Since the installment, configuration and activation of DIGNA’s anomaly detection is only a matter of minutes, training employees within a single day has become realistically achievable. Once the metrics that need to be tracked have been defined, DIGNA will take over and handle the rest.
The ability to analyze millions of parameters within seconds automatically leads to a clearer and deeper understanding of any business.
Using cutting edge-machine-learning algorithms, DIGNA perceives, and rapidly self-adjusts to the smallest changes in metric patterns regardless of the data sets used; it is designed to automate new and routine behaviors, patterns and distributions with no need for expensive hardware, thus securing a significant reduction in both risks and costs to always keep you one step ahead of your competitors.
How it works?
Just 4 steps away from taking charge of business incidents in real-time.
DIGNA’s dashboard easily connects to your data sources. Over the course of minutes, diverse databases and applications can easily be integrated across Teradata, Oracle, MS SQL Server, PostgreSQL and Flat File.
Monitoring every single data point is a tedious job that squanders valuableresources. DIGNA, however, has built-in metrics that compress even the biggest data sets to what really matters; this way, all information can be tracked without overloading the system. Additionally, DIGNA’s filter functionality offers the possibility of customized metrics for optimal results.
DIGNA’s unsupervised learning algorithm makes use of these profiles to learn how the data behaves over time, discovering all the trends, seasonalities and irregularities and making predictions on the data’s futurepattern. The traffic light system then classifies each monitored metric into 3 easy-to-understand categories and provides alerts: green (no anomaly found), yellow, red.
A web-based dashboard with responsive design along with push-up notifications allow the visualization and management of any anomalies that might have been detected. In addition, an integrated timeline functionality allows for a comparison of past and current data, giving insights into how the data quality progresses.