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Data Centre Taxonomy
WHAT WE DO
geekspeak provides asset data preparation services for data centre operators, colocation providers, and enterprise infrastructure teams. We transform fragmented asset records into structured, normalized datasets ready for reporting, capacity planning, compliance, and platform implementation. Based in Ontario, Canada, we serve data centre operators across North America.
We provide data services, not software. We deliver the structured data that makes your systems and processes work.
Data Centre Asset Data Services
Whether you’re a colocation provider managing multi-tenant facilities, an enterprise team consolidating visibility across distributed sites, or an operator preparing for a platform implementation—our services address the same root challenge: asset data that lacks structure, consistency, and completeness.
Asset Taxonomy Development
A classification framework that organizes infrastructure assets—servers, storage, networking, power, cooling—into standardized categories with consistent naming conventions and attribute structures.
A well-designed taxonomy enables accurate reporting, capacity planning, and cross-system integration.
Data Transformation & Governance
We extract and normalize data from spreadsheets, legacy asset databases, ticketing systems, configuration management databases, and manual records. Most engagements involve consolidating multiple concurrent sources into a single structured dataset.
Ongoing governance maintains data quality as operations scale.
A Consistent Hierarchy from Enterprise to U-Position
A standardized location hierarchy enables roll-up reporting, capacity analysis, and impact assessment across your entire portfolio—whether one facility or fifty. We develop hierarchies that reflect how your systems and teams need to access information, from enterprise level down to individual rack positions.
geekspeak’s taxonomy and data services practice has developed through years of helping enterprise organizations manage complex catalogues, build classification frameworks, and maintain data quality across platforms. Data centre infrastructure presents a different domain, but the underlying discipline is the same: aggregating information from multiple sources, standardizing attribute values and formats, and ensuring accuracy and integrity across systems.
Why Structured Asset Data Matters
Data quality issues remain latent until a business event exposes them: a platform implementation that stalls because source data doesn’t meet ingestion requirements, a compliance audit that reveals asset tracking gaps, capacity planning decisions based on records that don’t reflect physical reality, or an M&A integration delayed by incompatible naming conventions.
Each scenario traces to the same root cause. Our services address the foundation.
Data Centre Taxonomy
Interested in learning more about what our Data Centre Taxonomy can do for your Data Centre Operations? Reach out to request a quote and speak to a member of our team.
This Service Includes:
Our Data Centre Taxonomy Includes:
- Asset taxonomy development and category structure
- Location hierarchy standardization (enterprise to U-position)
- Attribute schema design (40+ attributes per asset type)
- Cross-vendor naming normalization
- Data extraction, cleansing, and deduplication
- Validation rules and governance documentation
Key Deliverable:
Key Deliverable:
- Fully developed taxonomy template with category hierarchy
- Normalized asset dataset ready for system ingestion
- Data Governance document with validation rules
- Ongoing taxonomy support as required