Harnessing Knowledge Graph & Natural Language Querying to Drive Business Growth
To stay ahead of the curve, businesses in the energy sector need automated data analytics and modeling tools that take a simple query as input & result in a quick response. For quick data retrieval and response generation, natural language querying-based knowledge graphs are used.
Knowledge Graph and Natural Language Querying
A knowledge graph is a database that uses a graph-based data model to represent information and its relationships. It is a robust tool for organizing and visualizing complex data sets, allowing users to navigate and explore the data easily. Knowledge graphs are used to create a comprehensive view of an organization’s data assets, including both structured & unstructured data.
Natural language querying (NLQ) is another advanced technology that allows users to interact with databases and data sets using natural language commands. NLQ makes it easy for users to search for and retrieve data, without requiring them to learn complex query languages or write complex code.
Together, knowledge graphs and natural language querying can give businesses a powerful tool for managing their data and extracting valuable insights from it.
Business Intelligence for the Energy Sector
For example, a utility company could use a knowledge graph to map the relationships between its customers, energy usage & billing data. With natural language querying, stakeholders could easily search for specific customer data, such as energy usage patterns or payment history. Ultimately, this information could be used to optimize billing and payment processes, reduce energy waste, and improve customer happiness.
How Odyx yHat will help your business think big?
Odyx yHat is a powerful time series forecasting tool but can also combine knowledge graph technology with a natural language querying system.
Create a unified view of their data assets
Explore data with natural language
Visualize data in real-time
Collaborate with in-house teams
Conclusion
Frequently Asked Questions
Why a knowledge graph? How does it help our business?
A knowledge graph is a powerful tool for organizing & visualizing complex data sets, allowing users to easily navigate & explore the data. It leverages to identify patterns, relationships & optimize operations to reduce costs for improved customer satisfaction.
How is Odyx yHat useful for your business?
Odyx yHat combines knowledge graph technology with natural language querying to provide businesses in the energy sector with a powerful tool for managing their data, unlocking the full potential of their data assets, and driving business growth.
How will knowledge graphs bypass coding & technical expert needs?
Natural language query systems are deployed over Knowledge graphs. NLQ systems transform plain text commands into SPARQL queries to fetch data from knowledge graphs in a logical manner. Thus, it does not require any coding or technical expertise to operate it.
