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Data quality monitoring

Building success together on a strong foundation of high-quality data

At DataGalaxy, we champion data quality, emphasizing accuracy, reliability, and consistency. By pulling data health signals into DataGalaxy, we strengthen our commitment to data integrity and operational excellence, ensuring businesses make informed decisions with confidence.

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What is data quality?

Data quality is not just about the data itself – It’s about the value it brings to the user. We define high-quality data as being accurate, complete, reliable, and directly relevant to the needs of our users. This is the core of our data quality philosophy.
“DataGalaxy is a team of professionals capable of supporting us and meeting our varied requirements. The platform is vibrant and animated by its community of users, who regularly provide feedback on their data governance issues.”

Émilie Dresse

Training Actuary

Precision in data, excellence in results

Data pipeline monitoring

DataGalaxy’s pipeline monitoring tools enable users to detect and address issues in their data flows. By providing visibility into data operations, it’s easier to differentiate between isolated incidents and systemic problems.

This feature also allows for monitoring the health of data by various business units and sources, ensuring that decisions are made on current and reliable data.

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Proactive alerts within your workflow

DataGalaxy keeps you ahead of potential issues. Our system sends immediate alerts – via the app, Slack, Teams – when thresholds are exceeded.

These notifications provide concise, yet detailed information, including current status and a collation of resources related to the incident.

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End-to-end data quality monitoring

Integrating data-health signals into the workflow helps users identify trustworthy data. DataGalaxy uses clear indicators, to guide users towards reliable data and away from outdated or questionable sources.

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Link data quality to the column level

DataGalaxy provides an extensive overview of data quality on a table-wide basis, incorporating both lineage tracking and diagrams. This feature enables users to visualize and follow the downstream implications of data quality problems.

It simplifies the process of determining which SQL queries and analyses are influenced by specific data quality issues, thereby boosting the overall data integrity and dependability.

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Book a demo

Find your data in under three seconds with DataGalaxy! Request a demo and achieve complete organizational data governance with our all-powerful, user-friendly Data Knowledge Catalog.

“ Thanks to DataGalaxy, we can finally track data end-to-end and identify data ownership. DataGalaxy’s Data Knowledge Catalog has provided so many benefits for our organization, including a fully-documented functional and technical use case, a thorough algorithm library, and a clear identification of ownership between IT, business, data, and BI teams. ”
Emmanuel Dubois Swiss Life Chief Data Officer

Join the ranks of 150+ leading brands using DataGalaxy