Business challenges
The Data Office at Randstad Spain faced the critical challenge of operationalizing its data asset management programme: the Data-Driven Strategy. The organization was not simply looking for a technology tool — it needed a platform capable of operationalizing a governance model, ensuring that the technology adapted to existing business processes rather than forcing changes to them. The requirements were demanding and non-negotiable:
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Adopt a solution that guaranteed full team autonomy, both functional and technical, from day one.
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Ensure the scalability needed to bring the organization's entire Data Lake under governance coverage.
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Enable end-to-end data lifecycle traceability while preserving metadata integrity at every stage.
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Adapt swiftly to functional and technical changes without compromising the consistency of the established governance model.
Use case: Cataloguing informational initiatives
The project centred on a high-value use case: the Governance of Informational Initiatives. Rather than limiting the effort to a technical inventory, Randstad built governance around the assets that end users actually consume: Reports, Dashboards, and Data Services.
The model connects data originating from disparate operational sources with its persistence in the informational environment, establishing critical relationships between Data Products and Solutions, Business Terms and physical Datasets, and Users with their accountability roles.
Starting from a centralized governance model, the target state is a decentralized dynamic where business analysts catalogue functional objects and technical teams manage physical assets and their relationships — democratizing data governance across the organization.
Project objectives
The deployment of Anjana Data at Randstad Spain pursued ambitious goals around strategic alignment and operational efficiency:
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Absolute adaptability: ensure the platform conformed to Randstad's pre-defined governance model (aligned with Randstad International), not the other way around. The system had to revolve around Business Terms as its central axis, reflecting both local and international terminology.
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Management autonomy: empower the Randstad Spain team to administer the platform both technically and functionally, eliminating any external dependencies for day-to-day operations.
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Unlimited scalability: lay the foundations for governing the entire Data Lake, ensuring that the architecture and licensing model support the growth in asset volume and organizational data maturity over time.
Functional and technical architecture
The solution stands out for its metamodel configuration flexibility, combining the best of two complementary approaches:
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Custom entities: Randstad-specific objects were created — Business Term and Data Product — faithfully reflecting the organization's own language and terminology.
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Native entities: the power of Anjana Data's standard catalogue was leveraged — Dataset, DatasetField, Processes, Instances, and Solutions — to capture all required technical metadata.
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Effective governance: this hybrid architecture enables comprehensive management of critical aspects such as data stewardship, security, and data lineage in a fully auditable manner.
Key benefits
The project has equipped Randstad Spain with differentiating capabilities that strengthen its position as a truly Data-Driven organization:
Randstad Spain now has a tailored Anjana Data configuration that fits its pre-existing governance model, validating the principle that "the tool adapts to the process" — not the other way around.
The data governance team has acquired the knowledge and capabilities required to handle the platform's operations, administration, and maintenance in a fully self-sufficient manner, with no external dependencies.
Thanks to the modular architecture and object-based licensing model (rather than user-based), Randstad can grow its user base and connect new data sources without architectural barriers or licensing penalties.