Identifying Trends - spectrum_quality_1 - 23.1

Spectrum Data Quality Guide

Product type
Software
Portfolio
Verify
Product family
Spectrum
Product
Spectrum > Quality > Spectrum Quality
Version
23.1
Language
English
Product name
Spectrum Data Quality
Title
Spectrum Data Quality Guide
Topic type
Overview
Reference
Tips
How Do I
First publish date
2007
ft:lastEdition
2024-03-04
ft:lastPublication
2024-03-04T22:52:13.486265

The Data Quality Trends page depicts the following statistical information by dataflow and domain:

  • Total number of conditions processed
  • Total number of exception conditions
  • Percentage of conditions that were processed successfully
  • The trend of your data in 30-day intervals

This information can be further broken down by stage if you select a dataflow or by metric if you select a domain. The values that appear here are determined by dataflows with Exception Monitor stages that have been run over the last 30 days as well as their respective domains and metrics.

  • If you are viewing information by domain, select a Dataflow name if you want to view information for a specific dataflow and a Stage label if you want to view information for a specific stage.
    Note: You must select a single dataflow if you want to also filter the results based on a stage. Otherwise, you will see data for all dataflows.
  • If you are viewing information by dataflow, select a Domain if you want to view information for a specific domain and a Metric if you want to view information for a specific metric. Otherwise, you will see data for all domains.
  • Select a duration for the Scale to specify how far back you want the data to go. You can select any number of days, weeks, or months.
  • Select a dataflow if you want to break out results by stage.
  • Select a domain if you want to break out results by data quality metric.

As you make selections to view different parts of the data, you will notice that charts appear reflecting the status of that particular data. For instance, if you look at domain data, you could narrow that data down by a specific domain (such as "Address") and then by a particular metric (such as "Completeness"). The charts will update accordingly as you make different selections.