This artificial intelligence, DaLMatian, optimizes the work processes of the data teams by instantly answering ad hoc questions from the company's stakeholders. Easy to use, DaLMatian interfaces directly with communication tools such as Slack and Teams, allowing even non-technical users to ask questions and receive precise results without delay. By eliminating the need for manual solutions and reducing the time spent on ad hoc requests, this AI enables analysts to focus on more strategic analyses that drive revenue growth. Important for its privacy-preserving approach, DaLMatian runs entirely locally: no real data leaves the company's environment, the schemas and query codes are processed, but no personally identifiable data is exposed. In a few minutes, DaLMatian learns the business logic behind the queries and continually improves, offering seamless integration with any database, regardless of its size or complexity.
The software allows non-technical users to ask questions directly on platforms such as Slack and Teams, where an advanced language model instantly provides the necessary responses. This automation increases efficiency and optimizes the work process by freeing up time for more complex analytical tasks.
By significantly reducing the time spent on ad-hoc queries, this solution enables analysts to focus on analyses that generate revenue growth. This focus on high-value tasks strengthens the team's ability to positively impact business strategies.
With a setup in just five minutes, this software learns the business logic behind the queries from a file of prior queries. The more the software is used, the more precise it becomes, adapting to any database, regardless of its size or its complexity.