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Structured Vs Unstructured Data Examples and Types
Experts estimate that the global data analytics market will surpass $500 billion by 2030, showing just how crucial data has become for business decision making. But simply collecting huge volumes of information is not enough. The real value comes from being able to...
How to Build a Text-to-SQL Agent With RAG, LLMs, and SQL Guards
Enterprises today expect analytics to be fast, accurate, and accessible to everyone, not just technical teams. But traditional dashboards and SQL heavy workflows still rely on developers or analysts to translate business questions into queries. That is why Text to SQL...
How Unstructured Data Analysis Transforms Raw Information into Insight
Every enterprise today collects enormous amounts of data. Yet most leaders admit they only use a fraction of it. Studies show that nearly 80 percent of enterprise data remains untapped because it lives outside structured databases. This unused portion is what experts...
Improving Text-to-SQL Accuracy with Schema-Aware Reasoning
Text-to-SQL has emerged as a breakthrough in natural language processing (NLP), allowing non-technical users to query databases using plain English instead of manually writing complex SQL. Enterprises across industries—from banking to healthcare—are adopting this...
Text‑to‑SQL in Enterprise Dashboards Use Cases, Challenges, and ROI
In today’s fast-paced business world, having access to real-time insights is not a luxury, it is a necessity. Whether it is a product manager monitoring adoption metrics or a CFO analyzing departmental spend, timely data can determine whether a company misses an...
Tracking Patient Outcomes in Real Time with Text to SQL
In today’s data-driven healthcare world, tracking patient outcomes in real time is more important than ever. It helps doctors make faster decisions, improves hospital operations, and leads to better patient care. But most Electronic Health Records (EHRs) and clinical...
Fine-tuning Large Language Models for Accurate SQL Generation
Structured Query Language (SQL) is a key tool for working with data in relational databases. As more companies deal with large and messy data, they need easier ways to search and understand it. One growing solution is using natural language - the way we speak - to ask...
Choosing the Right Text-to-SQL Agent for Your BI Stack
Business intelligence (BI) is changing fast with the rise of advanced data tools. One key change is the use of natural language interfaces, like Text-to-SQL agents. These tools let users ask questions in plain language and get answers directly from databases. As a...
How CFOs Are Making Data Driven Decisions Faster with Text to SQL
In today’s dynamic economy, CFOs are under increasing pressure to make fast, informed decisions backed by accurate, real-time data. From strategic planning and forecasting to cost control and compliance, every aspect of the CFO’s role depends on insights drawn from...
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