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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.
View Data Profiling Results
Profiling Results
The Report Pane
Table Level Profiling Details

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.
  - 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
    - Profiling Results
    - Profiling Trends
      Profiling trends provide a graphical visualization of changes in the data over a period of time. Trends can help you to predict future stat values based on the existing trend pattern. It provides businesses with crucial information that helps make data-driven decisions concerning future events.
  - 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.

Table Level Profiling Details

These details are displayed when you select a table in the left pane.

It displays the name of the table () along with these details:

Completeness (%): Displays the complete and incomplete rows (in percentage) in the table.

Tip:

Under table-level profiling details, you can click the name of the column in the Column field to navigate to the respective column-level profiling details. Refer to Column Level Profiling Details.
In the Table Summary you can sort columns.

Table Summary

It displays these details for every column in the table.

Column: Names of all the columns in the table. You can click the column name to view column-level profiling details.
Data Type: The data type in the column.
Completeness (%): Completeness of records in the column.
Uniqueness: Uniqueness of the data contained in the column.
Null Count: Displays the number of null values in every row of the table.
Semantic Type: Displays the detected semantic types, such as email, phone, city, first name, last name, and so on in the string in this column.
Stats: Displays various other statistics.
- For integer: Standard Deviation, Minimum value, Average, Maximum value, Variance.
- For string: Min Length, Max Length, and Text Patterns.