Hengshi AI Analytics: From Metric Definitions to Agent Execution
How reusable metrics, authorization, Data Agent, APIs, embedding, and HENGSHI CLI combine into reviewable enterprise ana...
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The HENGSHI technical blog collects practical articles, implementation notes, and hands-on experience across data analytics and BI engineering.
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How reusable metrics, authorization, Data Agent, APIs, embedding, and HENGSHI CLI combine into reviewable enterprise ana...
View detailsHow HENGSHI BOX combines local inference, analytics assets, and agent tools, with verifiable data boundaries, workload s...
View detailsA guide to Data Agent semantic preparation, Agent and Workflow execution, iframe/SDK/API integration, and verifiable row...
View detailsFive Agentic BI approaches and a practical PoC framework for verifiable analytical tasks.
View detailsFive metrics platforms and a practical PoC framework for consistent, governed, reusable business numbers.
View detailsWhen enterprises connect analytics to products, operations, and agents, they need more than isolated charts. They need a...
View detailsEmbedded BI is about more than placing a chart in a business system. Identity, resources, data, and the analytics experi...
View detailsEnterprises can already use AI agents to read code, organize documents, call tools, and produce analysis. Bringing those...
View detailsStarting from three analytical chains — business semantics, data and permissions, and asset accumulation — this article...
View detailsBreaking “service” down into manageable delivery responsibilities: five evaluation weights, the delivery evidence buyers...
View detailsRetention, cumulative totals, same-period comparisons, partitioned summaries, and conditional aggregation may each be a...
View detailsBusiness teams need analytical deliverables that explain problems, withstand review, remain editable, and support decisi...
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