Morph

Features of Morph AI

Morph AI provides advanced AI functionalities specialized for data analysis, strongly supporting users in data-driven decision-making. This section details the features and benefits of Morph AI.

What Makes Morph AI Special

While general AI chatbots can perform analysis, Morph AI is specifically designed for data analysis, providing more accurate results tailored to user requirements. It differs from regular AI chatbots in the following ways:

  • Understanding Data Schemas: Morph AI understands the schema (structure) of the user's database, including the relationships between tables and the meaning of columns, enabling accurate analysis considering data relationships. This allows for correct results even with complex queries.
  • Schema Maintenance During Data Processing: Morph AI comprehends the schema generated at each data processing step and appropriately carries it forward to the next step. This ensures efficient data processing while maintaining the integrity of the entire pipeline.
  • Memory and Context: Users can provide AI with information about the meaning and usage of columns, enabling more precise queries and analysis. For example, understanding that a sales data column represents revenue allows the AI to perform accurate sales trend analysis.

Building Multi-Step Data Pipelines

Morph AI can automatically construct complex data pipelines based on user requirements. Users only need to convey the desired analysis results, and Morph AI will design and execute all necessary steps. Morph AI seamlessly builds the pipeline, even in cases involving multiple SQL queries and Python scripts. Additionally, users can manually adjust each step's code, allowing for fine-tuning while maintaining the pipeline's overall integrity.

Generating and Fixing Code

Morph AI can automatically generate and modify SQL and Python code for each step. This allows users to execute advanced data analysis without technical expertise. Even when connected to external databases, Morph AI generates optimal code considering the database schema. For example, it can automatically adapt to new table additions or column changes, providing accurate queries.

Asking Questions About Data

Morph AI can quickly and accurately answer questions regarding analysis results or aggregated data. Users can ask specific data points or trends to gain detailed insights. For instance, questions like "What are the top 10 best-selling products this month?" or "Which regions have the highest customer satisfaction?" will receive detailed answers with specific data.

Generating Reports

Morph AI generates rich reports based on aggregation and visualization results. Users can customize the report content using prompts. For example, setting the format and content for specific needs like "agenda for the next marketing meeting" or "monthly report to management" is possible. The generated reports are visually appealing and easy to understand, serving as powerful tools to support decision-making.