ZhuJiu - A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models: Deployment and Systems Integration

Operational value depends on latency, resource use, interface dependencies, and reliability within the systems that must host the method. This structured evidence review evaluates "ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models" 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 deployment constraints and systems integration, 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 tests end-to-end latency, failure recovery, resource demand, and compatibility with existing operational interfaces.

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6. Aspin, A. (2015). SQL Server Reporting Services as a Business Intelligence Platform. Business Intelligence with SQL Server Reporting Services, 1-17. https://doi.org/10.1007/978-1-4842-0532-7_1 DOI
7. Rudy, R., & Limantara, N. (2011). Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S. ComTech: Computer, Mathematics and Engineering Applications, 2(1), 418. https://doi.org/10.21512/comtech.v2i1.2774 DOI
8. Kurze, C., & Gluchowski, P. (2010). Business Intelligence: Model Driven Architecture für Data Warehouses: Computer Aided Warehouse Engineering - CAWE. Multikonferenz Wirtschaftsinformatik 2010, 217-218. https://doi.org/10.17875/gup2010-1568 DOI
9. Togatorop, P.-R., Sitorus, D., Purba, Y., & Tarigan, A.-M.-F. (2022). Twitter Data Warehouse and Business Intelligence Using Dimensional Model and Data Mining. 2022 IEEE International Conference of Computer Science and Information Technology (ICOSNIKOM), 1-6. https://doi.org/10.1109/icosnikom56551.2022.10034904 DOI
10. Batalla, S. (2024). From data to value: turn unstructured data into a dimensional data model using Data Warehouse (SAP BW/4HANA) and Business Intelligence (SAP Lumira designer) visualizations. Proceedings of the 2024 10th International Conference on Computer Technology Applications, 103-108. https://doi.org/10.1145/3674558.3674572 DOI