Introduction

Introduction

Data quality life cycle

Data quality life cycle

The assets that you configure for your data quality projects constitute a set of operations that you can perform across
Informatica Intelligent Cloud Services
.
To understand and improve the quality of your data, you can move the data through the following stages:
  1. Discover
    . Analyze the content and structure of your source data.
    To analyze the content and structure, create a profile in
    Data Profiling
    .
    You can open and run profiles from the Explore page in both
    Data Profiling
    and
    Data Quality
    .
  2. Design
    . Create assets to address the issues that you find in the source data.
    Create the assets in
    Data Quality
    .
  3. Apply
    . Add the assets to one or more mappings, and run the mappings on the data.
    Design and run the mappings in
    Data Integration
    .
  4. Measure
    . Run profiles to review the results of the mappings.
    Optionally, update the assets that you created in
    Data Quality
    and run the mappings again to optimize the quality of the data.

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