Democratizing data: How AI empowers non-technical teams to make faster, data-driver decisions

Use case

The client non-technical employees lacked an intuitive way to interact with their data and generate insights, leading to a reliance on technical specialists and potential inefficiencies in decision-making.

For example, when the employee needs to get a specific insight or report, e.g. “What proportion of our new customers have cancelled their subscription within the trial period?” they had two time-consuming options: 1. File a ticket to the Data Department and wait for the data analyst to find some time to help them or 2. Get the relevant permissions and write scripts and queries in SQL/Python/other to get the answer themselves.

Solution

Cognexa addressed this challenge by developing a solution that leverages Large Language Models (LLMs) to enable natural language querying of structured databases. This innovative approach allows users to ask questions in plain language and receive relevant, actionable insights without the need for specialized technical knowledge. The system analyzes the database structure, interprets the user’s intent, and generates the appropriate queries to extract and visualize the data.

Result

By bridging the gap between human language and data analysis, Cognexa’s solution empowers non-technical employees to explore data independently, and make informed decisions quickly and efficiently. This streamlined process saves time, reduces reliance on technical staff, and ultimately enhances the organization’s ability to leverage data for strategic planning and operational improvements.