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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 onMuleSoftJavaAngular

Industry
Healthcare
Engagement
Data Platform
A clinical team meeting around a laptop

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
A pharmacy lab with automated dispensing machines along both counters and a technician at work

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

Industry

Healthcare

Platform and technology

  • ETL & Data Pipelines
  • SSIS
  • MuleSoft
  • Angular
  • Java
  • MongoDB

Related services

Microsoft Fabric consultingData governance and qualityData engineeringHealthcare

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