Smart Operations Data Decision Platform

Core Value: Upgraded from a traditional "Business Analytics Platform" toEnd-to-End Decision Hub— Covers five core business domains: R&D, manufacturing, supply chain, sales, and service through «Data Integration → Metric Drill-down → Smart Decision-makingThree-tier capabilities that enable an end-to-end closed loop from strategic goals to frontline execution. The goal is to achieve full data integration across the core value chain of R&D, manufacturing, supply, sales, and service—moving data from "accessible" to "actionable for decision-making."

I. Platform Advantages

Seamless Integration = Break down silos across five domains and unify data standards with business facts.Link a single material change across the entire chain: BOM, production orders, and customer orders.

Five-Domain Data Asset Core：

methods for integration：

1. Master data firstUnified Customer, Material, BOM, Supplier, Equipment, and Organization are the "primary keys" linking these five domains.

2. Integrated Architecture: Data Bus / API + Real-time CDC + Batch Sync; Lakehouse Layers (ODS → DWD → DWS → ADS)

3. Integrated Finance and Business OperationsConnect the full business process from procurement, production, and sales to finance, enabling integrated analysis of operational and financial data — an end-to-end flow from lead to cash collection, purchase to payment, and planning to cost.

4. Quality assurance for seamless integrationEnd-to-end monitoring, data lineage, and consistent metrics across domains

II. Metric Drill-Down

Drill-down = Layered Business Analysis + End-to-End TraceabilityEstablish a three-tier operating analysis framework—strategic, management, and execution—centered on the logic of "control budget, track growth, identify root causes, and forecast future performance" to enable full-chain traceability from financial metrics down to business processes and responsible owners.

1. Strategic Layer (Decision-makers' View): Executive Cockpit — Revenue, Profit, Cash Flow, Order Fulfillment, Inventory Turnover, Cost Fluctuations

2. Management (Manager "Xi")Five-Domain Metrics: R&D Progress & Cost, Production OEE, Supply Kit Completion Rate, Sales Achievement Rate, and Service Satisfaction

3. Execution Layer (Frontline "Action"): Process Metrics — Ticket Progress, Inventory Levels, Station Efficiency, Service Ticket SLA

Penetration ExampleDeclining gross margin → Drill down to orders/products → Production work orders → Material cost composition → Responsible department and root cause (material, labor, or overhead). Organize metrics according to the R&D, production, supply, sales, and service domain metric dictionary. Implement strategic-to-execution penetration management using "OSM goal decomposition + metric monitoring + PDCA closed-loop."

3. Smart Decision-Making (What to Decide, How to Close the Loop)

Five-Domain Decision Scenarios：

Decision Loop (Critical)The "view" by decision-makers and the "analysis" by managers are just entry points; execution must translate into action. Guangyuan Data: Metrics → AI-driven attribution insights → Actionable recommendations (ChatBI / Insight Agent) → Feedback loop of action outcomes. Note: AI serves as an analytical tool to support, not replace, human decision-making.

IV. Implementation Steps (Phased Full-Chain Approach)

V. Implementation Strategy

• Connect but don't govern → Five domains clash; drill-down distorts data.

• Metrics remain at the summary level and do not roll down to business processes or accountable owners.

• Decisions that are only "viewed" but not "acted upon" break the execution loop, turning the platform into a static dashboard.

• Challenging to collect R&D service data (PLM / After-sales heterogeneity) → Start with high-frequency value domains, then gradually expand coverage.

• AI-Driven Decisions → Compliance & Liability Risks: Uphold "AI-Assisted, Human-Controlled"

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