Oxcyon’s Approach to Data Quality Measurement
At Oxcyon, we believe that the foundation of any AI, analytics, or digital experience initiative is rooted in one critical factor: data quality. Our Centralpoint platform is designed to assess, improve, and govern data across the enterprise through active monitoring of key quality dimensions — Freshness, Volume, Schema, Quality, and Lineage. This rigorous approach ensures that clients not only centralize their data but trust it implicitly in real-time.
1. Freshness
Definition: The timeliness and relevance of data relative to its use case.
Oxcyon’s Approach: Centralpoint supports both push and pull synchronization to ensure data is updated as frequently as required. Whether the source is a file path, an API, or a federated index, we measure data latency in minutes and support configurable update frequencies via scheduled routines.
Best Practice: We align with the McKinsey data culture model, enabling teams to set freshness SLAs per data domain. For instance, healthcare organizations using Centralpoint can configure lab result feeds to refresh hourly while compliance logs update daily.
2. Volume
Definition: The amount of data ingested, indexed, and retained over time.
Oxcyon’s Approach: Centralpoint is built to scale, handling terabytes of structured and unstructured data with full-volume audit logs. We leverage data transformation routines to manage ingestion from high-velocity sources like ODBC, APIs, or FTP.
Best Practice: Similar to the DataOps movement, we treat volume as both an opportunity and a risk. Our governance tools allow clients to flag excessive volume increases as potential anomalies—alerting Data Stewards proactively.
3. Schema
Definition: The structure and consistency of the data models applied across sources.
Oxcyon’s Approach: We use metadata-driven schema enforcement. Data Transformation rules check for field conformity, datatype consistency, and expected values prior to indexing or ingestion. Centralpoint’s ontology services ensure semantic standardization even when field names differ across systems.
Best Practice: Following schema-on-read principles akin to those used in data lake environments, we allow dynamic mapping with version control. This approach preserves flexibility while maintaining data integrity.
4. Quality
Definition: The accuracy, completeness, and trustworthiness of the data.
Oxcyon’s Approach: We assess quality through rule-based validation, enrichment via taxonomies, and by correlating against dictionaries and master data definitions. Data anomalies are flagged with severity scoring, and administrators can configure alerts or approval workflows.
Best Practice: Oxcyon leverages IIBA’s Data Management Body of Knowledge (DMBOK) for validation strategy—ensuring that only validated, enriched, and complete records are promoted for AI or compliance use cases.
5. Lineage
Definition: The ability to trace the origin, transformation, and consumption path of each data element.
Oxcyon’s Approach: Centralpoint tracks complete data lineage at the field level — from ingestion source, through transformation routines, to output use (e.g., search, dashboards, document templates). Each step is timestamped and logged, creating a full audit trail.
Best Practice: In alignment with Gartner’s Data Trust model, we empower Data Stewards with visual lineage tools, enabling them to click into any record and trace its exact journey — critical for compliance with FISMA, HIPAA, and GDPR.
Enterprise Benefits
- Auditability: Full traceability and version control across data elements
- AI Readiness: Only clean, enriched, and current data flows into inference layers
- Compliance: Built-in support for data governance and privacy enforcement
- Confidence: Teams trust the data powering their dashboards, decisions, and reports
Conclusion
At Oxcyon, we don’t just unify disparate data—we make it usable, trustworthy, and accountable. Through our commitment to these five dimensions of data quality, Centralpoint helps organizations transform raw data into reliable, actionable intelligence.
To learn more about Centralpoint’s data governance tools, schedule a demonstration today.