Solution Overview - Natural language data-insights

Our Natural Language Database Query solution enables anyone in your organisation to access data insights by asking questions in plain language, streamlining decision-making without the need for technical expertise.

Service
Process Automation
Tech
  • GenAI
  • Database
  • Insights

Problem statement

Accessing data insights typically requires specialised knowledge in SQL or database management, creating bottlenecks for non-technical staff. This gap leads to inefficient workflows, delayed decision-making, and reliance on IT teams to fulfill data requests.

Solution approach

Our solution allows users to query your organisation’s database using natural language. Staff can type or speak questions, and the system retrieves relevant data in real-time. The solution adapts to your organisation’s specific terminology, providing accurate responses and eliminating technical barriers. Data can be visualised through dynamic reports and charts, streamlining decision-making processes across all departments.

Outcome and impact

By enabling non-technical staff to obtain the information they need independently, this solution increases productivity and reduces the strain on technical resources. With faster access to data insights, teams can make informed decisions quickly, improving overall efficiency.

Lessons learned

Adapting the system to your organisation’s unique needs—such as incorporating industry-specific terms—optimises the accuracy and usability of the query results. Ensuring clarity in question phrasing improves response relevance, particularly when dealing with large datasets.

Other applications

Beyond general business queries, this solution is highly valuable for industries requiring regular access to large databases, including finance, healthcare, logistics, and retail. From querying sales reports to tracking real-time inventory, the ability to pull accurate data instantly transforms decision-making in data-driven environments.

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It starts with a conversation...

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