Fine-tuning versus RAG for enterprise systems
Choose between behavior adaptation and retrieved evidence by examining knowledge freshness, provenance, evaluation, privacy, and operating responsibility.
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Guidance library
Data quality
Make ownership, freshness, conflicts, and source authority visible to consumers.
7 articlesGuidance library
Reviewed enterprise architecture guidance
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The operating cost of manual inventory reconciliation
Map where inventory conflicts are detected, who resolves them, which consumers wait, and where a qualified Business API can remove repeated interpretation.
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Production RAG architecture with governed enterprise context
Design retrieval around source authority, chunking, access control, evaluation, provenance, freshness, and failure behavior rather than a vector database alone.
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Why SAP master data falls out of sync
Trace authority, timing, duplicate ownership, write paths, and consumer expectations before choosing synchronization, runtime access, or a hybrid pattern.
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Build a usable product definition across PLM, ERP, and channels
Resolve identifiers, attributes, lifecycle ownership, pricing boundaries, and channel needs without declaring one copied record universally correct.
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What untrusted ERP data does to operations
Examine the process delays, manual checks, conflicting definitions, and consumer workarounds created when ownership and data qualifications are unclear.
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A vendor master is rarely one simple record
Separate supplier identity, onboarding, payment, risk, regional, and partner context so each consumer sees an explicit, qualified contract.
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