UTD24 Research Publishing
Enterprise, Policy and Economic Dynamics

SiriusDeliver - Automating Data Warehouse Delivery at Tencent: Failure Modes and Error Containment

Abstract

Aggregate performance can conceal concentrated failures, so errors must be classified by cause, consequence, and the controls available to contain them. This structured evidence review evaluates "SiriusDeliver: Automating Data Warehouse Delivery at Tencent" alongside nine author-disjoint, topically matched publications in enterprise data intelligence. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through error taxonomy and failure containment, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda pairs a documented error taxonomy with stress tests, escalation rules, and safeguards for high-consequence failures.

Keywords
enterprise data intelligenceerror taxonomy and failure containmentevidence synthesisreproducibilityresearch evaluation
References
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Publication details
Journal
Enterprise, Policy and Economic Dynamics
Volume
1 (2026)
Article number
eped20260035
License
CC BY 4.0