DATA QUALITY MANAGEMENT
Know your data is right before anyone asks.
digna monitors data quality where your data already lives. Rules you define, changes you didn't expect, deliveries that never arrived, quality trends across sources. One platform, one place, and no data ever leaves your environment.
Continuous data quality, built around your data.
Validate explicit rules.
Detect unexpected changes.
Monitor data timeliness.
Analyse how quality evolves over time.
digna is the platform. Your data quality solution is built on top of it.
WHAT DATA QUALITY SCENARIOS CAN YOU BUILD WITH DIGNA?
Different data quality challenges. Combine the capabilities you need.
Data quality problems are not all the same. With digna, you can combine different capabilities to address each scenario.
ONE PLATFORM. BUILD YOUR OWN DATA QUALITY SOLUTION.
Combine capabilities instead of buying a predefined data quality package.
Every organisation has different data quality requirements. You may need strict validation rules for critical customer data, anomaly detection for transaction volumes, timeliness monitoring for daily reporting tables, and analytics to understand quality trends. Or you may need only one of these capabilities.
With digna, you decide which capabilities to use and how to combine them.
Your workflow, your level of control
FROM EXPLICIT RULES TO CONTINUOUS UNDERSTANDING
Cover the data quality problems you know — and the ones you do not.
Known requirements
A column must not contain missing values. A value must conform to a format. A combination of columns must be unique. Data must arrive within an expected timeframe.
Unexpected change
A dataset may suddenly contain fewer records than usual. A stable distribution may change. A metric may gradually drift away from its historical pattern. These changes may not violate a predefined rule.
From rules you define to changes you did not anticipate — digna gives you the capabilities to monitor both.
MONITOR DATA QUALITY WHERE YOUR DATA LIVES
Data quality across your enterprise data environment.
digna connects to enterprise data platforms and performs data quality monitoring directly against your data environment — without unnecessarily moving data to an external platform.
DATA QUALITY IS PART OF A BROADER OBSERVABILITY APPROACH
Understand the connection between your platform, your data and your business.
Changes in the data platform can affect the data being produced. Changes in data can affect business metrics and decisions.
Data Platform Observability
Is the data platform behaving as expected? Monitor workloads, performance, usage and cost over time.
Data Quality
Is the data correct and behaving as expected? Validate rules, detect anomalies, monitor timeliness and analyse quality changes.
Business Monitoring
Is the business behaving as expected? Monitor business metrics and KPIs derived from your data.
