What is Anomalo?
To address data quality and other data issues, Anomalo automatically detects data issues as soon as they appear in an organization's data, and before anyone else is impacted. It is used to detect, root-cause, and resolve issues.
Anomalo is connected to Enterprise Data Warehouse and begins monitoring tables chosen by the user. Its machine learning functionality will automatically learn the historical structure and patterns of the organization's data, allowing Anomalo to alert users to issues without the need to create rules or set thresholds. It can also be fine-tuned and its monitoring directed in a couple of clicks via Anomalo’s No Code UI.
Anomalo’s alerts include visualizations and statistical summaries of what’s happening to help users to more quickly understand the magnitude and implications of the problem displayed. Its Automated Root Cause Analysis will also try to find the root cause of the problem, potentially isolating the issue to a broken partner feed, a missing event type, an issue in a particular geographic region, saving users time.
Anomalo can be run as a managed deployment in the user's own cloud environment (i.e., an In-VPC deployment) for the utmost in privacy and security for data. With Anomalo deployed in a VPC, data will never leave an environment that controlled by the user.
Anomalo is connected to Enterprise Data Warehouse and begins monitoring tables chosen by the user. Its machine learning functionality will automatically learn the historical structure and patterns of the organization's data, allowing Anomalo to alert users to issues without the need to create rules or set thresholds. It can also be fine-tuned and its monitoring directed in a couple of clicks via Anomalo’s No Code UI.
Anomalo’s alerts include visualizations and statistical summaries of what’s happening to help users to more quickly understand the magnitude and implications of the problem displayed. Its Automated Root Cause Analysis will also try to find the root cause of the problem, potentially isolating the issue to a broken partner feed, a missing event type, an issue in a particular geographic region, saving users time.
Anomalo can be run as a managed deployment in the user's own cloud environment (i.e., an In-VPC deployment) for the utmost in privacy and security for data. With Anomalo deployed in a VPC, data will never leave an environment that controlled by the user.
Categories & Use Cases
Technical Details
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FAQs
What is Anomalo?
To address data quality and other data issues, Anomalo automatically detects data issues as soon as they appear in an organization's data, and before anyone else is impacted. It is used to detect, root-cause, and resolve issues.