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Data Application Scenarios

Practical Tutorial Overview: Activating Data Value with Intelligent Analysis and Connectivity​

This tutorial focuses on the Data Module within the SERVICEME NEXT platform. Through two practical cases, it helps users master how to leverage the platform to build data-driven intelligent applications. Whether it is quickly generating visual reports or creating intelligent Agents with data connectivity and analysis capabilities, this tutorial will provide you with clear ideas and practical methods.

📊 Case 1: Building a BI Analysis Report from Scratch​

This practical case aims to help users quickly build an intelligent analysis report based on sales data, achieving visualization and natural language insights of sales data. Through this tutorial, you will master the following key operations:

  • Import or connect sales data tables (such as Excel, SQL, third-party systems)
  • Quickly configure data fields, metrics, and dimensions
  • Apply intelligent recommended charts and natural language analysis
  • Publish and share interactive reports

This case is suitable for roles in marketing operations, sales management, data analysis, etc., helping users more efficiently gain insights into business trends, evaluate performance indicators, and support decision-making.

🤖 Case 2: Building a Data Agent from Scratch​

This case will guide you to build an intelligent Agent capable of dynamically accessing and querying data sources. Unlike static reports, this Agent can connect to specified data sources (such as databases, APIs, or spreadsheets) in real time based on users' natural language requests, returning structured results or generating visualized answers.

You will learn how to:

  • Configure data connectors to access business systems or databases
  • Design the Agent’s data query intents and parameter recognition methods
  • Implement multi-turn interactive data Q&A processes
  • Combine chart components to return graphical analysis results

This practice is suitable for building scenarios such as "Sales Data Assistant," "Inventory Query Bot," "Business Analysis Assistant," significantly enhancing the intelligence level of data services.

Through learning this module, users can not only "see the data" but also make data "come alive" through intelligent Agents, transforming complex data queries and business insights into natural conversational experiences, truly unleashing the value of data assets.