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Data Quality
Assure reliability, consistency, and accuracy data from different sources to deliver value to employees and customers.
Data Quality datasets
A dataset defines a data source and characterizes data to be loaded and transformed by pipelines.
Reference
This section contains reference information for dataset pages in Precisely Data Quality.
Datasets
The Datasets page lists datasets that have been uploaded to the Precisely DQ repository.

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.
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.
- Data Quality Catalogs
  The Data Integrity Suite Data Catalog lets users discover and understand connected data sources.
- Data Quality datasets
  A dataset defines a data source and characterizes data to be loaded and transformed by pipelines.
  - About datasets
  - Using datasets
    Datasets are created, edited, and deleted on the Datasets page of the Data Quality application. You can also create a pipeline that uses a selected dataset on this page.
  - How to
    This section contains tasks for using datasets in Precisely DQ.
  - Reference
    This section contains reference information for dataset pages in Precisely Data Quality.
    - Datasets
      The Datasets page lists datasets that have been uploaded to the Precisely DQ repository.
    - Data Settings
      The Data Settings page allows you to view and edit settings that characterize a dataset.
    - Data Type Format settings
      The data type characterizes the data in a dataset column. The format defined for a data type allows a column to be typed when it is read into a dataset.
- Data Quality pipelines
  Pipelines define and apply transforms to data loaded by a dataset.
- Data Quality jobs
- Data Connections
  Connecting to data is the first step in processing, analyzing, and storing information.
Administration
Manage your subscription, your users and their roles, and other system tasks.

Datasets

The Datasets page lists datasets that have been uploaded to the Precisely DQ repository.

Columns of the Datasets table display the following information fore each uploaded dataset.

Name

The uploaded source file name. You can click the hyperlink to edit data settings. Click the context menu Dataset context menu button

Dataset context menu button

to choose from commands that apply to a dataset:

Create Pipeline—Creates a new pipeline for the dataset.
Edit—Display and allows you to edit data settings that characterize data to be imported by a dataset.
Delete—Deletes a dataset that is not used by any pipeline.

Size

Size of the file in kilobytes (KB).

Records

Shows the number of records imported from the file (-1 if no records have been imported).

Columns

Shows the number of columns of data in the file.

Pipelines

Shows the number of pipelines that currently use the dataset.

Completeness

Shows the percentage of records that have no missing values.

Uniqueness

The percentage of records that are not duplicated in whole or part by other records in the data source.

Last Updated

Shows when the dataset was last updated from the source file.