Fragmented Data and Silos
Product data lived across diverse systems, departments, and locations, which created inconsistencies and made a unified view difficult to produce.
Data Architecture Assessment and Boomi
Master Data Hub Design for IDMP Compliance
Client Overview
Our client is a specialty pharmaceutical company focused on the supply of medicines to patients with specialist and hospital needs across international markets. Operating in a highly regulated environment, the company manages a broad portfolio of medicinal products, each carrying detailed substance, product, packaging, and regulatory data that must remain accurate and consistent across every system that touches it.
Business Objective
They wanted to understand whether their existing data architecture could support reliable, repeatable IDMP submissions and to establish a governed foundation for medicinal product data. Product information was spread across regulatory, quality, supply chain, and finance functions, and the same attribute could appear in different forms depending on its source. This fragmentation raised the risk of inconsistent regulatory reporting.
The company engaged NeosAlpha to assess its current data environment and design a Master Data Management approach, built on Boomi Master Data Hub, to consolidate medicinal product data into a single, authoritative source. The goal was a clear, practical blueprint for IDMP-aligned data management rather than a rushed implementation, so that any future build would rest on a sound architecture.
Industry
Pharma
Platform
Boomi
Service
Data Architecture Assessment and Boomi MDH Design for IDMP
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CTO
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Explore More Challenges
Inconsistent Formats and Definitions
The same product attribute could take multiple forms depending on its source, so terminology, classifications, and data models needed to be reconciled against common
Data Quality Variability
Information arrived through several ingestion methods, including manual entry, which introduced quality issues that had to be resolved before data could be trusted for regulatory
Lifecycle and Auditability
Medicinal product data changes throughout its lifecycle, and some attributes, such as a country-specific license number, only become available after registration. Every change needed to be traceable.
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Data Standardization
A medicinal product's data draws from many functions, and each may express the same attribute differently. The design used Boomi Master Data Hub to harmonize disparate datasets, mapping and reconciling differences in terminology, classifications, and data models against common standards. This ensures product data is aligned, complete, and ready for IDMP-compliant submissions.
Data Quality Management
Because product data can be structured or unstructured and can enter through several methods, quality is a constant concern. The design applied Boomi Master Data Hub data quality processes to cleanse, enrich, and validate data so information carried across connected systems is accurate, complete, and compliant with regulatory expectations.
Version Control and Audit Trail
Product data evolves over its lifecycle, and not every attribute is available on day one. The design used Boomi Master Data Hub to track changes to data elements, maintain version control, and preserve an audit trail to support compliance documentation and regulatory reporting.
Data Stewardship and Governance
IDMP calls for careful, accountable management of medicinal product data. The design established data stewardship roles and governance controls within Boomi Master Data Hub to oversee data quality and integrity, enforce data standards, validate accuracy, and resolve conflicts. This creates a culture of accountability around every submission.
Single Source of Truth
Duplication and inconsistency in product data can distort regulatory submissions and carry real consequences for patient safety. The design consolidated data from multiple systems into a unified, authoritative repository, a golden record, so that every function, from R&D to regulatory, works from the same trusted data.
A Foundation-First Approach
Rather than move directly to implementation, NeosAlpha prioritized a sound architecture. The assessment and MDH design give a validated blueprint that reduces delivery risk and positions the business to build an IDMP-ready master data capability with confidence.
Results
Data Landscape
A documented view of the current data environment, including where silos and inconsistencies originate.
Master Data Hub
A Boomi Master Data Hub design that consolidates medicinal product data into a single, governed source of truth.
Data Governance
An approach to standardization, data quality, version control, stewardship, and governance that maps directly to IDMP requirements.
Implementation Foundation
A lower-risk foundation for any future implementation, grounded in a validated architecture rather than assumptions.
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