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Intelligent Data Assistant

Intelligent Data Assistant for querying, analysis, cross-statistics, and chart generation in Excel and third-party data sources.

Intelligent Data Assistant
Interface diagram of intelligent data assistant.

Function description

The intelligent data assistant is designed for enterprise forms, ledgers, reports and business data queries. It can perform cross-analysis around multiple Excel files, and can also be connected to third-party data sources accessed as URLs depending on the implementation. Suitable for business users who don't want to manually write formulas, filter conditions or statistical scripts.

Main abilities

  • Supports cross analysis and comprehensive query of multiple Excel files.
  • Supports access to third-party data sources as URLs, depending on enterprise configuration.
  • AI can automatically program data query, cleaning, statistics and analysis based on the problem.
  • Charts can be generated based on query results to assist in report production or business analysis.
  • Supports the use of table Q&A in the Excel file preview interface or Zhichao AI column.
  • Can be combined with deep thinking mode to handle more complex statistics, functions and analysis tasks.
  • Supports multi-language interaction, suitable for cross-regional or cross-language teams.

Applicable scenarios

  • Summary analysis of sales orders, inventory, project ledgers, supplier lists, customer lists and financial details.
  • Cross-reference between Excel files maintained by multiple departments.
  • Ask questions in natural language, such as "Sales this month by region", "Find overdue items", "Compare missing customers in two tables".

Notes

The scope of data processed by the intelligent data assistant should be confirmed by the enterprise. Sensitive data such as finance, personnel, and customer privacy should be used in conjunction with permissions, auditing, and desensitization strategies.

Permissions and usage boundaries

  • Zhichao AI’s answers, searches, and file references should follow Babel’s existing permission system. Users can only access content within their account, department, project, share, and file access controls.
  • Materials used for learning, training, indexing, or Q&A should be specified by the enterprise or administrator; all files should not be considered public knowledge sources by default.
  • External customer service, website embedding, third-party data sources, privatized models and GPU computing power are optional deployment or customization capabilities and should be subject to actual authorization, implementation plan and enterprise configuration.
  • When AI answers involve high-risk content such as contracts, finance, medical, legal, and engineering safety, the AI ​​output should be used as auxiliary information and reviewed by professionals.
BabelBird capabilities may change by product version, licensed modules and deployment configuration; actual availability depends on the deployed environment and administrator settings.