The Data Analytics feature in Profound AI offers advanced capabilities for AI agents to conduct comprehensive data analysis and generate dynamic visualizations. It helps businesses transform enterprise data into visually engaging, actionable insights, enhancing decision-making and user engagement. For example, the following chart produced by the Data Analytics feature shows Aging Data from an ERP application in a user-friendly format:
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At its core, Data Analytics operates by allowing on-the-fly creation and execution of concise scripts. These scripts are adept at processing various data to produce the required output, such as detailed charts or graphs. To ensure security and efficiency, these scripts are executed within a highly isolated and controlled cloud-based environment. This setup guarantees that data processing is both safe and scalable, catering to different business needs without compromising on data integrity or system performance.
Activating Data Analytics
To activate the Data Analytics feature, navigate to the Guidance section within the IDE. Here, you'll find an option labeled “Data Analytics”. Simply check this box to enable the feature. Once activated, the AI agent is designed to intelligently determine the most appropriate time to utilize Data Analytics, based on the specific context of each user query.
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If analytics capabilities are not required by the agent, you may wish to turn the feature off. This will limit LLM model usage costs.