IBM Databand: Self-learning for anomaly detection

8:52 am
February 3, 2024

### Deliver reliable data with continuous observability and identification of anomalies

IBM recently encountered a data validation issue during a time-sensitive mergers and acquisitions data flow. However, it could have been resolved more efficiently if there had been proper data validation and intelligent monitoring. In response, IBM integrated IBM® Databand® for data observability into its data flow, and the experience has been transformative.

Databand offers self-learning monitoring, observing past data behavior and identifying deviations that exceed certain thresholds, thus enabling users to monitor data with minimal configuration and anomaly detection. This machine learning capability is particularly beneficial for handling unforeseen issues.

Databand monitors schema changes, service level agreement (SLA) impacts, performance and runtime anomalies, status of runs, and data validation. Notably, it observes data value ranges over time, sending an alert upon detecting anomalies, including typical statistics such as mean, standard deviation, minimum, maximum, and quartiles.

The software allows users to set alerts using an intuitive dashboard and provides in-depth visibility through directed acyclic graphs. This all-in-one system enables support teams to concentrate on areas that require attention, thus accelerating deliverables.

The integration of Databand has empowered IBM to enhance its data pipelines, enabling the identification of data incidents earlier, faster resolutions, and the delivery of more reliable data to businesses.

### FAQ

#### What is IBM Databand?

IBM Databand is a data observability tool that offers self-learning monitoring capabilities, enabling users to monitor data with minimal configuration and anomaly detection.

#### What does IBM Databand monitor?

Databand monitors schema changes, service level agreement (SLA) impacts, performance and runtime anomalies, status of runs, and data validation, including typical statistics such as mean, standard deviation, minimum, maximum, and quartiles.

#### How does IBM Databand enhance data resolution and monitoring efficiency?

The software provides in-depth visibility through directed acyclic graphs, allowing support teams to focus on areas that require attention, thus accelerating deliverables.

#### What are the benefits of using IBM Databand?

IBM Databand identifies data incidents earlier, resolves them faster, and delivers more reliable data to businesses.

#### Can users set alerts using IBM Databand?

Yes, users can set alerts using the Databand user interface, which features an intuitive dashboard for monitoring and supporting workflows.


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