🔎Use Cases

Learn how AnalytiTalk can help you navigate your data.

Ask in natural language

AnalytiTalk's natural language processing allows you to generate SQL code by simply describing your data requirements in plain English. This feature makes it easy for even non-technical users to create complex queries.

Build Data Documentation

Automatically create comprehensive data documentation. AnalytiTalk can generate detailed documentation for your datasets, making it easier to maintain and understand data structures.

Generate the Data Dictionary

Create a structured data dictionary in your preferred format. AnalytiTalk can generate a data dictionary that includes details about each table and column, such as data types, descriptions, and relationships.

Generate Comments for Tables or Columns

Use AnalytiTalk to add meaningful comments to your database tables or columns. This improves the readability and maintainability of your database schema.

Fix SQL query

If you have an SQL query that returns errors or incorrect results, input the problematic query into AnalytiTalk chat. The system will identify and correct syntax errors, suggest improvements, and ensure the query executes correctly.

Explain SQL query

To understand what a specific SQL query does, paste it into AnalytiTalk chat. The system will provide a detailed explanation of each part of the query, making it easier to comprehend and modify if needed.

Optimize SQL query

If your SQL query runs slowly and needs optimization, AnalytiTalk analyzes its performance. It offers suggestions for optimization, such as indexing, query restructuring, or other performance improvements, ensuring your queries run efficiently.

Visualize your data

Transform your data into visual insights easily. With AnalytiTalk, you can create charts, graphs, and dashboards to better understand your data and communicate findings effectively.

These use cases highlight how AnalytiTalk can assist users in writing, fixing, explaining, optimizing SQL queries, building data documentation, generating comments, creating data dictionaries, and visualizing data, making data management more accessible and efficient.