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Export Conversation Analytics to Snowflake

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Snowflake2025-08-11 更新2025-08-12 收录
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https://app.snowflake.com/marketplace/listing/GZTSZ3JOIU8
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资源简介:
# Transform Conversation Data into Business Insights Export QA scores, conversation transcripts, metadata, and sentiment analysis from MaestroQA into Snowflake to power your analytics stack. <p><br/></p> Use this data alongside other operational sources to uncover trends, measure support quality, and link agent performance to business outcomes — all within your Snowflake environment. This listing contains sample data only. To enable export of your organization’s real MaestroQA data to Snowflake, request access and our team will assist with setup.This listing is a limited trial and for informational purposes only. **For Non-MaestroQA Customers:** To enable the MaestroQA → Snowflake export, request access and our team will coordinate setup. <p><br/></p> **For Current MaestroQA Customers:** These steps must be completed by a MaestroQA admin. 1. Launch the MaestroQA Web application 2. Navigate to the top right right and click "Integrations" 3. In the Data Export Section click "Snowflake" 4. You will be taken to a page that documents steps that need to be performed in Snowflake. 5. Finally, enter your Snowflake details: account, cloud region ID, user, warehouse, databse, schema, user role, and connection details.
提供机构:
MaestroQA
创建时间:
2025-08-01
原始信息汇总

Export Conversation Analytics to Snowflake 数据集概述

数据集基本信息

  • 提供商: MaestroQA
  • 试用信息: 7天免费试用
  • 数据覆盖时间: 最近1个月(按天)
  • 数据刷新频率: 静态数据
  • 云区域可用性: AWS US East (N. Virginia)

数据集描述

  • 集中化对话数据,用于跨功能报告和建模
  • 包含QA分数、对话记录、元数据和情感分析数据
  • 样本数据仅用于信息目的,实际数据需通过MaestroQA管理员设置导出

业务需求

  • 情感分析: 构建自定义LLM提示和分析模型,监控100%的对话情感评分
  • 监管报告: 结合客户记录和交易历史,自动标记合规问题
  • 风险分析: 检测异常行为,构建评分模型
  • 用户获取与留存: 识别流失信号和高转化时刻,构建预测模型

数据字典

表名: CUSTOMER_CONVERSATIONS

列名 数据类型 示例数据
CONVERSATION_ID Number 101
CUSTOMER_ID Number 1001
ACCOUNT_ID Number 1001
CONVERSATION_DATE Date 2025-07-15
CONVERSATION_TRANSCRIPT Varchar "Hi, I need help with my invoice from last month."
SENTIMENT Varchar "Neutral"
CATEGORY Varchar "Billing"
TYPE Varchar "Chat"

使用示例

sql select * from sample_data.customer_conversations

分类标签

  • AI & ML
  • Analytics Tools
  • Data Engineering
  • Regulatory Reporting
  • Risk Analysis
  • Sentiment Analysis
  • Subscriber Acquisition and Retention

联系方式

  • 销售: team@maestroqa.com
  • 支持: team@maestroqa.com

法律条款

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