At Anomalo, we understand the critical importance of data management for insurance providers. That’s why we’ve designed a leading data quality monitoring solution that integrates seamlessly with Guardian Life’s existing systems. Our native Databricks connector and open API ensure effortless integration, enhancing your operational efficiency without disrupting your workflows.
Anomalo takes a modern approach to data quality monitoring, centered on unsupervised machine learning while continuing to offer validation rules and metrics monitoring. In this way, Anomalo is able to enforce attributes such as data uniqueness validity, while layering on more sophisticated analyses in scenarios too complex for legacy, rules-based methods, like Collibra and Informatica.
Our platform is tailored to support various teams across your company. With Anomalo, Data Engineers can manage a robust infrastructure with ease, Business Analysts can access clean and accurate data across different insurance divisions, and Compliance Teams can rely on our tools to meet rigorous regulatory standards with confidence.
Guardian Life’s need for flawless data across multiple business units, including life insurance, disability, and dental, is met with precision and reliability by Anomalo – transform your data strategy and set new standards for data quality at Guardian Life.
Solution
Automate Data Quality Checks, at Scale, Using Machine Learning
Anomalo’s unsupervised machine learning automatically monitors data quality, allowing you to identify issues before they impact your business.
Deep Integrations with Best of Breed Catalogs
Anomalo offers bi-directional integrations with leading data catalogs. We surface data quality issues directly in the catalog UI, enabling users to make more informed decisions about the data they use.
Easy for Everyone with Our No-Code UI
Anyone can be a data quality champion and create their own validation rules or key metric checks using Anomalo’s no-code UI.
The Right Alerts, Sent to the Right Person. No Noise.
Anomalo’s incredibly powerful unsupervised machine learning uses automatic secondary checks to weed out false positives.
Instant Root-Cause Analysis
When data quality issues are detected, Anomalo provides an instant root-cause analysis that points to the likely source of the problem, saving you time and effort to investigate.
Rich Visualizations for Easy Issue Detection
Anomalo offers a variety of visualizations that help you understand data quality problems in context, making it easier to identify the root cause.