Skip to main content

Data Profiler overview

Data Profiler

Data Profiler helps users summarize the structure, completeness, and overall quality signals in a dataset.

What Data Profiler is for​

Use Data Profiler when the problem is primarily about this specific kind of work. The goal is to solve one focused task well instead of asking users to fit every workflow into a generic process.

Typical value​

Data Profiler can help teams:

  • reduce manual spreadsheet work
  • apply the same logic more consistently
  • make outcomes easier to review and explain
  • prepare data for downstream reporting, import, sharing, or review

Common examples​

  • review missing values and field-level completeness
  • understand value distributions or unusual patterns
  • inspect a new File before deciding which other Tool to use

Typical workflow​

A common Data Profiler workflow is:

  1. review the input data
  2. create or select a configuration
  3. start the Run
  4. inspect the output
  5. adjust the configuration if needed and run again

Next pages​

  • When to use Data Profiler
  • Create a data profiler configuration
  • Run Data Profiler
  • Data Profiler examples