NLSQL allows users to extract information from databases using natural language sentences. In the context of clinical trials, NLSQL could be used to access and analyze data from patient records, treatment histories, or other relevant sources. This could help clinical researchers to quickly and easily extract the information they need to support their research and make informed decisions. For example, NLSQL could be used to ask questions about the effectiveness of different treatments, the side effects of different medications, or the demographic characteristics of different patient groups, and the answers to these questions could be used to support the design and analysis.
NLSQL can be used to analyse sales data, customer data, and other types of data relevant to the retail industry. For example, a user could use NLSQL to ask questions like "What are the top 10 selling products?" or "How many customers made a purchase last month?" or “I need stacked bar chart for our revenue by category by countries?” to gain insights into their retail business.
Natural Language Interface for SAP
NLSQL has been officially certified by SAP and offers an external API web service that uses natural language to generate SQL queries. This means that even non-technical employees can easily access and analyze data in SAP using natural language, just like asking a colleague for help via Microsoft Teams. With NLSQL, employees can easily get business intelligence insights and drill down into the details of their data, empowering them to make more data-driven decisions and achieve business results faster. Overall, NLSQL makes it easy for everyone in an organization to access and use their SAP data.
NLSQL can be a useful tool for HR analytics because it allows non-technical users to easily query and analyze data related to their HR operations. For example, an HR manager could use NLSQL to ask questions about employee turnover rates, performance metrics, or workforce demographics. This could help the HR manager to identify trends and patterns in their data, and make data-driven decisions about their HR strategies and policies.
A smart city chatbot could be powered with NLSQL to provide an intuitive Natural Language interface for citizens to get access to public data. The chatbot can give citizens the ability to search for information in the public database and provide AI-driven analytics or predictions, the same way a grandmother can message her grandchildren.
NLSQL can be a useful tool for e-commerce organizations because it allows non-technical users to easily query and analyze data related to their business operations. For example, an e-commerce business owner could use NLSQL to ask questions about sales data, customer demographics, or product performance. This could help the business owner to identify trends and patterns in their data, and make data-driven decisions about their business strategies and operations.
Oil and Gas BI
NLSQL can be a useful tool for the oil and energy industry because it allows non-technical users to easily query and analyze data related to their operations. For example, an energy company manager could use NLSQL to ask questions about production data, energy consumption, or safety metrics. This could help the manager to identify trends and patterns in their data and make data-driven decisions about their operations.