---
title: "Enterprise Data Quality and Governance Case Study | Smart Data"
url: https://www.smartdata.net/case-studies/enterprise-grade-data-quality-for-a-pharma-services-provider
description: "Smart Data resolved a pharmaceutical services company's data quality issues, improved onboarding and put a scalable data governance plan in place."
source: "Smart Data (smartdata.net). Markdown copy of the page; the HTML page is canonical."
---

# Reducing data quality issues across four migrated programs

Smart Data fixed recurring data quality issues across SSIS and MuleSoft feeds for a pharmaceutical services company, documented onboarding, migrated four programs and put a scalable data governance plan in place.

Built on [MuleSoft](https://www.smartdata.net/services/enterprise-integrations) Java Angular

Industry

Healthcare

Engagement

Data Platform

The client, a fast-scaling pharmaceutical services provider, faced significant operational inefficiencies due to lost onboarding processes, unclear technical documentation and systemic data quality problems. These issues were exacerbated by staffing turnover and made it difficult to reliably bring new programs online. Smart Data was brought in as a long-term partner to investigate and resolve the technical gaps, while enabling internal teams to focus on ongoing operations.

## The challenge

### Key challenges included

- Lack of documentation due to team turnover
- Lost knowledge of onboarding processes for new clients
- Persistent data quality issues across multiple systems
- No existing infrastructure for automated data monitoring or governance
- Multiple technologies across systems, making root cause analysis complex
- Urgent need to onboard four new programs with minimal disruption

## The solution

Smart Data used a flexible Agile methodology adapted to the client’s priorities. Each initiative followed a structured process from discovery through execution, with regular reporting and budget tracking. Key efforts included:

- Data Quality Resolution: Investigated and resolved issues across platforms, working with both internal teams and downstream customers to ensure high-impact fixes.
- Technical Documentation: Built tools and diagrams to visualize decision trees and platform logic, making it easier for both technical and business teams to understand.
- New Program Migrations: Developed a documented, repeatable process and successfully migrated four customer programs.
- Governance Readiness: Designed a proactive monitoring plan using Datadog and checkpoints inside SSIS and Mulesoft pipelines to automatically validate data integrity and allow user-defined actions.

Smart Data supported each effort through combined onshore and offshore team collaboration, detailed estimates and iterative delivery using backlog prioritization and sprint-based execution.

## The results

The outcomes of this enterprise data quality transformation included:

Significant reduction in recurring data quality issues

Improved customer satisfaction and operational trust

Fully documented onboarding process for future clients

Governance-ready data feeds with validation checkpoint design

Successful migration of four new programs

Long-term partnership with scalable technical support

Client

Platform and technology

- ETL & Data Pipelines
- SSIS
- [MuleSoft](https://www.smartdata.net/services/enterprise-integrations)
- Angular
- Java
- MongoDB

## Working on something similar?

Tell us what you are building and what it has to connect to. Here is what happens after you reach out.

### A short call about the work

What runs today, what needs to change and the date you are working toward.

### An engineer looks at what’s running

Scope comes from your systems as they are, before anything is priced.

### You get a written proposal

Covering scope, team, approach and price.

[info@smartdata.net](mailto:info@smartdata.net) [(937) 886-9166](tel:+19378869166)