We help data teams monitoring and effectively improve data quality
We help data teams monitoring and effectively improve data quality
You can't improve what you don't measure
Data quality means something different to different companies, and the number and types of data quality measures can vary depending on how a company wants to use its data.
But what companies have in common is the need to constantly monitor data quality to identify and prioritize data quality issues that need to be addressed.
Only then it is possible to effectively improve data quality.
We are specialists in data quality monitoring who monitor tables of up to a petabyte scale on a daily basis
About us
We are a team of data engineers and data scientists who works on data quality and data observability projects for years.
We developed the DQO data quality platform to simplify the process of monitoring data quality and identifying areas for improvement before quality issues affect your business.
DQO platform integrates easily into DevOps environments and offers extensibility that allows you to define business-specific data quality checks. DQO helps you examine ETL processes, data warehouses, and databases and discover which data is incorrect by monitoring popular data platforms (e.g. GCP, Snowflake) and running predefined data quality checks.
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