From Raw Data to Decision-Grade Context
Data catalogs classify what data exists. Business Context defines what it means — compiling entities, relationships, rules, SOPs, and provenance into a Context Graph that bridges the gap between how businesses operate and how data is stored
The Problem
Two Hierarchies. Zero Connection.
Enterprises operate with two disconnected hierarchies: the Business Process Hierarchy defines intent and accountability, while the Data Systems Hierarchy defines implementation. Data quality often fails in the gap between them
Broken Alignment
Business intent and technical systems evolve without structural synchronization
Separate operational hierarchies
Intent lacks implementation mapping
Controls not system-bound
Ownership gaps persist
Accountability not traceable
Outcome: Data quality erodes between intent and system execution layers
Rule Drift
Business process changes outpace technical validation and updates
Rapid process redefinition
Static validation rules
Stewardship bottlenecks grow
Manual rule maintenance
Compliance gaps widen
Outcome: Governance fails to scale with evolving operational complexity
Blind Data
Systems expose data structures without embedding business meaning or lineage
Catalogs lack rule translation
No term-to-column mapping
Definitions disconnected from data
Missing provenance chains
AI lacks semantic grounding
Outcome: Agents access data but cannot interpret intent or policy context
How It Works
The 17 Cs Framework: Context as Structured Knowledge
Business Context uses ElixirData's proprietary 17 Cs Framework to organize enterprise intelligence across six domains, creating a comprehensive taxonomy that AI agents can reason over
Model
Define business domains, processes, and terms as a semantic hierarchy. Each business term becomes a quality contract independent of any system or schema
Map
Explicitly connect business intent to technical reality. A single business term maps to many columns across multiple systems. Natural-language rules translate into executable validations
Maintain
AI agents continuously observe schema changes, detect drift between business terms and technical assets, and recommend updates as systems evolve
Core Capabilities
What Business Context Delivers
Business Context connects intent to implementation through a living knowledge graph, reusable rules, and AI-driven stewardship that keeps enterprise data aligned, governed, and temporally aware
Context Graph
A temporal, multi-modal knowledge graph connecting entities, relationships, rules, and provenance. Causal understanding, not just correlations
Business-to-Data Mapping
Explicit connections between business terms and technical columns across every system. One business term, many physical locations
Reusable Business Rules
Define quality rules in natural language at the business level. Rules are business-owned, reusable across systems, and understandable by non-technical stakeholders
AI-Augmented Stewardship
AI agents monitor schema changes, detect drift, recommend rule updates, and keep mappings current — reducing steward workload by 80%
Prioritized Quality Scoring
Every rule classified by priority (Critical/High/Medium/Low). Weighted quality scores and risk scores calculated across enterprise, domain, and system levels
Temporal State Awareness
Every context element carries a timestamp. Agents can reason over what is true now, what was true at any point in the past, and what changed
Use Cases
Where Business Context Operates
Business Context operationalizes governance across quality, compliance, integration, and AI enablement — ensuring data, rules, and intent stay continuously aligned as the enterprise evolves
Integrations
Works With Your Data Governance Stack
Business Context enhances — not replaces — your existing data governance and catalog investments
Data Catalogs
Quality Tools
Business Intelligence
Process Tools
FAQ
Frequently Asked Questions
Data catalogs inventory technical assets. Business Context connects business domains, processes, terms, and controls directly to their physical data locations — making data quality structural instead of reactive
The 17 Cs Framework is ElixirData’s proprietary taxonomy organizing enterprise intelligence across six domains, providing structured context — operational, compliance, temporal, and causal — for decision-grade AI systems
AI agents continuously monitor schema changes and term-to-column drift, recommend rule updates and new validations, while human stewards review and approve — reducing workload by 80% without losing oversight
Business rules are written in natural language, business-owned, and reusable across systems. They are automatically translated into validations, with AI keeping them updated as systems evolve
Ready to See Business Context in Action?
See how Business Context deploys over your existing infrastructure in 4 weeks — with structural governance from day one