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Data Observability
Proactively monitor and manage the health of your data. Receive actionable insights through alerts that drive business decisions.
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.
Manage Data Profiles
You can manage your data profiles on the Data Profiles page.

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.
  - Manage Data Profiles
    You can manage your data profiles on the Data Profiles page.
    - Create a Data Profile
      You can create multiple data profiles for a single data connection. You must set up a successful data connection before creating a data profile. To create a data connection, refer to DISuite/Observability/data-connections/Creating_Snowflake_Data_Connection.html.
    - Create a Data Profile from an Existing Profile
      You can create a copy of an existing data profile, change profiling details, and save it.
    - Edit a Data Profile
      You can edit an existing data profile to make changes or edit a data profile after duplicating it.
    - Delete a Data Profile
      You can delete a Data Profile when it is no longer required.
  - Sort Data Profiles
    You may need to locate the data profile from a long list of existing profiles. You can quickly locate a data profile by sorting the data profiles.
  - Search Data Profiles
    You can search for a specific data profile.
  - Run a Data Profile
  - Stop a Running Data Profile
  - Manage Data Profile Schedules
    A schedule allows you to run the profile on a regular cadence.
  - View Data Profiling Schedule Status
    You can view the schedule status on the Data Profiles page.
  - View Schedule Run History
    You can view schedule run history to view past run information of the scheduled profile.
  - View Profile Run History
    You can view profile run history to view past run information.
  - View Data Profiling Results
  - Reference
- 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.

Manage Data Profiles

You can manage your data profiles on the Data Profiles page.

You can,

learn about profiling rules to analyze your data profile
create a data profile
duplicate a data profile
edit existing data profiles
delete existing data profiles