UK-Based NGO Organisation Untwined Their
Data Complexities and Improved Data Readiness
Client Overview
Our client is one of the UK’s prominent non-government organisations with a workforce of over 500 employees, supporting underprivileged communities through various welfare initiatives. Alongside permanent employees, the NGO also engaged volunteers for project-based roles. Managing recruitment, payroll, pensions, training, and compliance required seamless coordination across multiple business systems. People data was consumed and updated by several independent platforms, creating increasing complexity and governance challenges.Business Objective
The organisation aimed to effectively govern and manage people data across all systems and establish a trusted single source of truth. The objective was to consolidate core personnel data attributes, including identity, contact information, payroll, pension details, and assignments. Additionally, they wanted to create a reliable clerical data repository that could support publishing to a public-facing NGO register.Industry
Charity
Platform
Boomi
Service
Master Data Management
Challenges
Fragmented People Data
The Human Capital Management platform was integrated with multiple systems, including pension management, recruitment portals, training platforms, and contact management systems. Each system contributed and consumed person data independently, resulting in inconsistencies and duplication.
Lack of Governance and Accountability
There was no centralised policy governing how people’s data was created, updated, or validated. With multiple contributor systems, it was difficult to establish accountability for specific data fields.
Duplicate and Inconsistent Records
Volunteers who later applied as employees often created duplicate records in downstream systems. Matching logic was insufficient to differentiate between similar names while preventing false duplicates.
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Enterprise People Data Classification
NeosAlpha conducted a comprehensive discovery exercise to understand how person records were processed across systems. Applications were categorised as data contributors, data consumers, or both, forming the foundation of the integration strategy.
Boomi MDH Golden Record Architecture
A Master Data solution was designed using Boomi MDH to create golden records of person data. Attributes, quality rules, and governance standards were defined collaboratively to ensure consistency across systems.
Data Enrichment and Matching Logic
Employee data was enriched using third-party APIs to enhance data completeness. Intelligent matching rules were configured to prevent duplicate creation while ensuring that distinct individuals with similar names were not incorrectly merged.
Governance and Chain of Responsibility
MDH was configured to track field-level data contribution, enabling data stewards to identify which source system updated specific attributes. This established a clear chain of responsibility and improved synchronisation across systems.
Results
Single Reliable Source of Truth
The organisation achieved a de-duplicated and governed repository of person data, improving trust and consistency across business functions.
Improved Pension Data Accuracy
Enhanced data quality significantly reduced internal support tickets related to pension discrepancies.
Efficient Compliance Management
Centralised and accurate records enabled more effective tracking of mandatory employee training and compliance requirements.
Seamless Recruitment and Onboarding
Duplicate records were eliminated during volunteer-to-employee transitions, ensuring smooth onboarding and improved operational efficiency.
Technology Stack
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