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Data Observability
Proactively monitor and manage the health of your data. Receive actionable insights through alerts that drive business decisions.

Welcome
The Precisely Data Integrity Suite is designed to deliver trusted data with accuracy, consistency, and context – built on the core capabilities of data integration, data quality, data governance, location intelligence, and data enrichment.
Data Integration
Replicate data from mainframe, IBM i, and relational databases to cloud analytics platforms.
Data Observability
Proactively monitor and manage the health of your data. Receive actionable insights through alerts that drive business decisions.
- Observe Data Assets
  Observing your data assets allows you to take actions based on the alerts received. Alerts are provided after successful scheduled runs. The trends generated provide alerts about data anomalies. You can observe data assets only once and cannot use them again for another observer. Before you create an observer, identify your data source and set up a data connection. Scheduling is mandatory for creating an observer.
- Profile Data Assets
  Learn about how to perform end-to-end Data Profiling. It provides a complete workflow of Data Profiling.
- Data Connections
  Your organization may have diverse data sources that you want to process. Use Data Connection to configure these data sources and connect them to the Data Integrity Suite.
- Data Profiles
  Data profiling scans your data records from all the data sources - irrespective of their volume and complexity. It identifies problems related to correctness, completeness, and validity in the data, and suggests actions to fix the issues. Thus, it improves the quality and utility of your data with very little manual effort.
- Observers
  You can create observers to keep a watch on your data assets and take timely measures in case of data anomalies. The observer monitors your selected data assets and provides alerts based on the selected observer rules.
- Alerts
  Alerts are generated as per the observer rules and the assets that are selected during observer creation. The alerts are either critical level or warning level. This level is set during the observer rule configuration.
Data Governance
Manage data policy and processes with greater insight into your data's meaning, lineage, and impact.
Data Quality
Assure reliability, consistency, and accuracy data from different sources to deliver value to employees and customers.
Administration
Manage your subscription, your users and their roles, and other system tasks.

Data Observability

Proactively monitor and manage the health of your data. Receive actionable insights through alerts that drive business decisions.

Data observability allows you to take prompt measures that help prevent costly and time-consuming data issues.

Data observability has three major components:

Discover, Profile, and Monitor: collecting and monitoring the information, and profiling the data.
Analyze: processing the information, assessing historical trends, and detecting outliers.
Visualize and Act: utilizing dashboards to visualize data activity, sending proactive alerts to notify users of outliers, and providing additional context that informs whether data is ready to be used for decision-making.

The Data Observability module in the Precisely Data Integrity Suite helps build trust in your data for analytics and operational use cases. Machine learning intelligence continuously monitors the patterns in your data and immediately alerts you of anomalies so that you can avoid costly downstream issues and unexpected business disruptions later.

You can configure observer rules during creating or editing observers. You will receive alerts for unexpected changes in your data. The available observer rules are,