The latest release from Datactics is packed full of data goodness. Read on for more detail, or hit the ‘Get ADQ’ button any time.
You can now configure a Snowflake connection straight through the ADQ User Interface. This eliminates the need to set this up in the backend.
We've made it possible to assign data quality issues and breaks to data stewards in bulk, saving time in getting data fixed.
A new magic wand icon shows you where you can benefit from Datactics Machine Learning in our built-in ADQ features.
Love SQL? DQ Authors can now build SQL rules straight in ADQ, performing DQ checks in-situ to optimise processing time.
Version 1.4 makes it easier to get hold of the data you need to measure, report on and improve.
We’ve made several improvements to Data Issues to enhance the data steward user experience by simplifying navigation and more clearly presenting the issues identified by the DQ checks:
Additional improvements have been made to provide simpler access to user information in the Datactics Knowledge Base, covering component versioning, deployment instructions and detailed release notes.
Want to be able to show off more value from your data? Insights has been adapted and developed to provide business-influencing outputs to help showcase return on investment.
Users can now filter results on specific rules, and link directly to the data issues for this rule.
We’ve automated a significant amount of the heavy lifting involved in identifying attributes and records which may contain errors, thanks to our enhanced AI-powered outlier detection process.
Simply enter your email below, or contact your Account Manager, to be among the first to get it.
We're working on a way to leverage GenAI for the creation of SQL rules, saving time and effort.
More configuration of dashboarding is coming, to help customise and maximise the output from your data quality initiatives.
We're in the process of building more open connectors to support customer requests that we were delighted to accelerate in our Roadmap.
Data drift and data observability are natural extensions to the ADQ platform. We're also planning AI-powered predictive remediation suggestions.
Head on over to the Knowledge Base for a direct link into the release notes for ADQ v1.4.
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