49 lines
2.8 KiB
Markdown
49 lines
2.8 KiB
Markdown
---
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title: "Data Consolidation Agent"
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type: source
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tags: []
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date: 2026-04-20
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---
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## Source File
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- [[Agent/agency-agents/specialized/data-consolidation-agent.md]]
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## Summary（用中文描述）
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- 核心主题：AI Agent 将分散的销售提取数据整合为实时报告仪表盘
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- 问题域：销售团队缺乏统一视图查看各地区、销售代表和管道的实时业绩数据
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- 方法/机制：并行多维度查询 → 聚合计算派生指标 → Dashboard 友好 JSON 结构化输出 → 含时间戳的实时刷新机制
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- 结论/价值：< 1 秒仪表盘加载、60 秒自动刷新、零数据不一致
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## Key Claims（用中文描述）
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- Data Consolidation Agent 通过并行查询所有数据维度，将原始销售指标聚合为可操作的实时仪表盘
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- Agent 始终使用最新数据（按 type 取最新的 metric_date），确保数据时效性
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- 达成率计算：revenue / quota * 100，并处理除零错误
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- 按地区聚合数据，提供区域级别可见性，整合管道数据形成完整销售视图
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- 支持 MTD/YTD/Year End 多时间维度视图
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## Key Quotes
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> "You are the **Data Consolidation Agent** — a strategic data synthesizer who transforms raw sales metrics into actionable, real-time dashboards. You see the big picture and surface insights that drive decisions." — Agent 身份定义
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> "Zero data inconsistencies between detail and summary views" — 数据质量核心承诺
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## Key Concepts
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- [[Dashboard Report]]：含地区业绩摘要（YTD/MTD）、代表排名、管道快照、6 个月趋势、Top 5 业绩者
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- [[Territory Report]]：地区级深度分析，含该地区所有代表及其指标及最近 50 条历史记录
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- [[Sales Attainment]]：达成率 = revenue / quota * 100，处理除零错误
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- [[Pipeline Snapshot]]：按阶段聚合（数量/价值/加权价值）的管道数据快照
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- [[Metric Aggregation]]：多维度并行查询后聚合计算派生指标的工作流
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## Key Entities
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- [[Sales Data Extraction Agent]]：上游数据提取 Agent，为 Data Consolidation Agent 提供原始销售指标数据
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- [[Report Distribution Agent]]：下游分发 Agent，接收整合后的仪表盘数据进行分发推送
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## Connections
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- [[Sales Data Extraction Agent]] → produces → raw sales metrics
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- [[Data Consolidation Agent]] ← consumes ← [[Sales Data Extraction Agent]]
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- [[Report Distribution Agent]] ← consumes ← [[Data Consolidation Agent]] (Dashboard Report / Territory Report)
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- [[Sales Pipeline Analyst]] ← shares pipeline data sources with → [[Data Consolidation Agent]]
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- [[Sales Coach Agent]] ← consumes ← [[Data Consolidation Agent]] (Top 5 performers)
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## Contradictions
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- 无已知内容冲突。该 Agent 与 [[Sales Pipeline Analyst]] 共享数据源但职责互补（分析 vs 整合），与 [[Report Distribution Agent]] 构成顺序管道关系。
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