Data Quality Center

Data Quality Center

Transforming enterprise data governance through intuitive design. A Fortune 500 manufacturer was managing data quality across 200+ fragmented, technical tools that non-technical stakeholders couldn't use — I led UX/UI design end to end to bring it under one roof.

Transforming enterprise data governance through intuitive design. A Fortune 500 manufacturer was managing data quality across 200+ fragmented, technical tools that non-technical stakeholders couldn't use — I led UX/UI design end to end to bring it under one roof.

Role

Lead UX/UI Designer

Duration

24 Months

Team

1 Designer, 5 Engineers

Platform

Enterprise Web App

Team

1 Designer, 5 Engineers

Dashboard

65%

65%

65%

Faster issue resolution — from 14 days down to 5

Faster issue resolution — from 14 days down to 5

$1.8M

$1.8M

Annual operational savings in the first year

Annual operational savings in the first year

$1.8M

Annual operational savings in the first year

92%

92%

Post-launch user satisfaction (n=45)

Post-launch user satisfaction (n=45)

92%

Post-launch user satisfaction (n=45)

Case Study Overview

Case Study Overview

Case Study Overview

Problem

200+ fragmented, technical tools made data quality unmanageable — delaying 40% of business decisions and costing $2.5M a year in manual checks.

Solution

A unified platform — dashboard, task tracker, quality heatmap, and pipeline monitor — with role-based views for stewards, managers, and executives.

My Role

Lead UX/UI Designer across a 24-month engagement with 1 designer and 5 engineers — research, design system, and iteration.

Impact

65% faster resolution, 92% satisfaction, and $1.8M in annual savings in the first year.

My Role

Lead UX/UI Designer across a 24-month engagement with 1 designer and 5 engineers — research, design system, and iteration.

Impact

65% faster resolution, 92% satisfaction, and $1.8M in annual savings in the first year.

Design Solutions

Design Solutions

Design Solutions

Process in action…

Process in action…

Process in action…

Design Solutions

Design Solutions

Design Solutions

Analytics

One view, not five tabs

Problem

Getting a full picture meant switching between five tools.

Decision

Card-based layout, color-coded quality scores, and alerts above the fold.

Benefit

Stewards can understand status and act without leaving the page.

Metric

85% reduction in time spent gathering quality information.

Designing for measurable operational change

Designing for measurable operational change

Issue resolution time

14 days

5 days (65% faster)

Manual quality checks

Baseline

80% reduction

Tools needed for a full picture

5

1

Missed issues from alerting gaps

Baseline

85% decrease

Post-launch satisfaction

—

92% (n=45)

Annual operational savings

—

$1.8M

Reflections: What I’d carry forward

Reflections: What I’d carry forward

What I learned

Progressive disclosure has to be structural, not cosmetic. A larger font does not make a metric executive-friendly if the underlying data model cannot support drill-down.

What I'd test next

I would instrument persona-level product analytics from day one, rather than relying on aggregate satisfaction data.

A trade-off I'd own

Role-based dashboards resolved a core user tension, but I would surface that fork earlier—before high-fidelity design.