Skip to main content

Data Quality Results

RightSight User Guide  ·  Module 10 of 14

Data Quality Results v7.6 beta

Analyze DQ execution results, drill into failed records, and investigate rule performance across connections.

Overview

Data Quality Results provides a comprehensive view of all DQ rule execution outcomes. You can analyze results by rules, tables, or jobs — and drill down to individual failed records for root-cause analysis.

Target Persona: Data Stewards, DQ Engineers, Data Analysts.

Prerequisites: At least one completed DQ job execution.

How This Module Helps

This is where you investigate data quality issues. After DQ jobs execute rules against your data, results land here. This module helps you: - Identify which rules pass or fail and at what rate - Drill into actual failed data records for root-cause analysis - Track quality trends over time via execution history - Export failed records for offline investigation

Connects To Relationship
Review & Confirm (DQ) Edit rules from results
DQ Jobs Results come from job executions
DQ Command Center Aggregated scores feed dashboards
Metadata Analysis Failed records link to table detail
Method Path
Sidebar Observability → RightSight → Data Quality Results (under Data Quality)
URL /data-quality-results
From DQ Jobs /data-quality-results?connection=<id>&jobId=<id>
From DQ Command Center /data-quality-results?connection=<id>&table=<name>

Features & Workflows

1. Selecting a Connection

  1. Click the Connection Selector dropdown.
Connection selector
Figure 1: Connection selector
  1. Select a connection — the results table loads.

2. Switching View Modes

Three views available via toggle:

View mode toggle
Figure 2: View mode toggle
View Description
Rules Flat list of all rules with latest scores
Tables Rules grouped by table with aggregate metrics
Jobs Results grouped by job execution

3. Viewing Rule Details

  1. Click any rule row in the Rules view.

  2. The Rule Details Drawer opens showing:

Rule Details Drawer
Figure 3: Rule Details Drawer
  • Rule definition and expression
  • Execution history trend chart
  • Failed records grid
  • Actions: Re-run, Edit, Disable

4. Drilling into Failed Records

  1. In the Rule Details Drawer, scroll to the Failed Records Grid.

  2. View actual data records that violated the rule.

  3. Click Export to CSV to download failed records.

What Happens Next
  • Column highlighting shows which field caused the failure.
  • Exported CSV can be shared with data engineers for remediation.

5. Filtering Results

Click Filter to open the Filters Sheet:

Filter Options
Status All / Passed / Failed
DQ Dimension Completeness, Accuracy, etc.
Table Specific table
Score Range Min/max score

6. Re-running a Rule

  1. In the Rule Details Drawer, click Re-run.

  2. Confirm execution.

  3. Results refresh with the latest execution.

From DQ Results Navigate To
Rule details → edit rule Review & Confirm (DQ)
Job link → job config DQ Jobs
Drill-down from DQ Command Center DQ Command Center

Tips & Best Practices

  • Use the Tables View to quickly identify which tables have the lowest quality scores.
  • Export failed records for offline investigation by data engineers.
  • Monitor trends in the Rule Details Drawer to catch degrading data quality early.
  • Use URL deep links from DQ Command Center dashboards for rapid drill-down.
Was this article helpful?