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Generative BI

With rising demand for data-driven decision making, Generative BI lets anyone query in natural language—no SQL skills needed. Get real-time insights with AI-generated charts and summaries sourced from multiple internal databases, eliminating delays and dependency on data experts. It’s business intelligence, made effortless.

Why Generative BI?

Insights for All

Empower every employee to engage with data using natural language and uncover insights on their own.

Instant Intelligence

Reduce manual effort—just ask a question and receive visualized answers that drive smarter decisions.

Room for Strategy

Let AI handle routine queries, so your data professionals can focus on strategic, high-impact analysis.

Application Scenarios

Unlock faster, smarter decisions across your business. From sales and production to HR operations, Generative BI brings clarity to complex data and helps turn insights into action.

  • Sales Pipeline and Performance Management
  • Marketing Campaign Performance Optimization
  • Product Line Performance and Quality Control
  • P&L and Financial Performance Analysis
  • Customer Inquiry Analysis
  • Employee Performance, Attrition/Retention Management

Our Generative BI

Our Generative BI simplifies the entire analytics journey—breaking down natural language questions, collecting and analyzing data, generating SQL and visual outputs, and ultimately delivering actionable insights, enabling informed decisions in seconds.

Key Features Powered by Our RaiX Platform

  • AI-driven business insights
  • Data search & integration
  • Key indicator analysis
  • Decision support & visualization tools
  • Auto SQL Generation

Democratize Business Intelligence with Going Cloud

Insights Grounded in Your Data

Tap into organizational knowledge using Retrieval-Augmented Generation (RAG) to ensure insights are relevant, accurate, and rooted in your internal context.

Smarter, More Actionable Guidance

Go beyond simple reporting—our solution suggests optimizations and highlights what matters most, even in complex or unstructured datasets.

Modular, Ready-to-Deploy Architecture

No need to start from scratch. Our operational-ready components enable faster deployment and time to value.

Case Studies

Related Content

FAQ

1. What is Generative BI, and how is it different from traditional business intelligence (BI) tools?
Generative BI (GenBI) combines Generative AI with business intelligence capabilities, allowing users to interact with data using natural language. Unlike traditional BI tools, which typically require dashboards, filters, and technical expertise to create reports, GenBI enables users to ask questions conversationally and receive insights, visualizations, and explanations in real time.
2. Can employees without coding or SQL experience use Generative BI (GenBI)
Yes. GenBI is designed to make data accessible to business users through conversational interactions. Users can ask questions in natural language, and GenBI will automatically generate and execute the SQL queries needed to retrieve and analyze the relevant data. This allows users to receive insights without needing to write SQL queries, build reports, or navigate complex analytics tools.
3. Which departments can benefit from Generative BI?
GenBI can support a broad range of business functions, and any department that relies on data for reporting, analysis, planning, or decision-making can benefit from faster and more accessible access to insights. Access controls and governance policies can also be configured to align with organizational requirements, helping ensure users only access the data relevant to their roles and responsibilities.
4. Does Generative BI replace data analysts, or does it enhance their productivity and decision-making?
GenBI is designed to augment, not replace, data analysts. By automating routine tasks such as data exploration, report generation, and SQL creation, GenBI allows analysts to spend more time on higher-value activities such as data strategy, advanced analytics, governance, and business problem-solving.
5. What preparations are needed before implementing Generative BI?
Organizations should identify the business questions they want to address, understand where relevant data resides, and assess data quality and accessibility. Reliable data sources help accelerate implementation and improve the quality of generated insights.
6. How can the accuracy of the resulting data and insights be validated?
GenBI can improve confidence in generated insights by tracing responses back to underlying data sources, generated queries, and calculation logic. Organizations can validate results against existing reports, dashboards, and business metrics, while governance controls and human review help ensure accuracy for critical business decisions.
7. What data sources can Generative BI connect to?
GenBI can connect to a wide range of organizational data sources, including data warehouses, databases, enterprise applications, and reporting systems. Supported integrations depend on the organization's existing technology environment and business requirements.
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