The Magic of Alation Data Catalog with Data Trust Score

Superior Data Governance by Integrating Data Catalog With ML Based Data Quality (DQ) Solution

Data Catalog Platform Integrated with Data Quality

Trust and Data Quality are critical to making the most efficient use of data and data governance platforms. It is vital to measure and communicate data quality to ensure that stakeholders are making decisions based on good information. DataBuck enables Alation users to autonomously evaluate data quality and assign a trust score for data assets (“DQI”) as part of the Alation Data Catalog.

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Out-of-the-box AI/ML capabilities

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Automated DQI Without Human Intervention

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Simple to Integrate With Alation

Transition from a manual model to a trust-based data-driven approach With DataBuck

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How does The Data Quality Platform work?

Scan: DataBuck scans each data asset registered in your Data Governance Platform.

Auto Discover Metrics- DataBuck autonomously creates data health metrics specific for each data asset. The well-accepted and standardized DQ tests are customized for each data set individually, leveraging AI/ML algorithms.

Monitor- Health metrics are then translated to a data trust score. Health metrics are computed based on quality dimensions for each column in the data asset.

Alert: DataBuck continuously monitors the health check metrics and trust score and alerts users when the trust score becomes unacceptable.

The deviation of the trust score displayed in the summary of analysis results shows how the quality score changed between the last two analyses. Every violation discovered can be double-clicked for further information:

  •  Expand the dimension to see which columns are affected at the data asset level. Click a column name to see the dimension details for that column.
  • At the column level, click the dimension name for further details.

Users can then decide for each Data Quality violation to be ignored or evaluated during the analysis. Users can choose for the entire data asset or individual columns.

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What DataBuck users say…

Introduction DQ Monitoring on AWS
FirstEigen recognized in AWS re:Invent as best-of-breed DQ tool
Autonomous Data Quality validation on Cloud
How AI/ML simplifies Data Quality and increases accuracy

Friday Open House

Our development team will be available every Friday from 12:00 - 1:00 PM PT/3:00 - 4:00 PM ET. Drop by and say "Hi" to us! Click the button below for the Zoom Link: