As a business intelligence lead who manages the BI function, BlazeSQL allows me to build faster, service more data requests, allow users to self-serve, all while I focus on the high value aspects of my role, instead of spending hours writing SQL.
From the first time I used Blaze, I was impressed at how well it understood our database schem, producing accurate results within minutes of setup. And when it does need correction, training Blaze is easy so that it remembers your company's business logic and terminology for next time. I love the technical view, which allows me to view the SQL Blaze is generating to validate it, or correct it if needed.
While Blaze has made me more efficient in providing data analysis to the business, it's also opened up another powerful use case for myself and other users. It's a great tool for doing exploratory analysis - asking it a broad question, then drilling down, asking it to compare segments, find anomalies, and uncover insights - all through natural language, and in matter of minutes. For me, this would take me far longer, writing query after query. But more importantly, it's empowered other non-technical users to do the same, something that they would otherwise be unable to do, and would be unlikely ask the BI team to handle, given the open-ended nature of the analysis.
Blaze has become a cornerstone of our BI function, allowing us to leverage AI to answer more questions, faster, which in turn has made us much more data-driven as a company.
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What is BlazeSQL?
BlazeSQL is a cloud-based data warehousing service designed to deliver high-speed SQL analytics on massive datasets. Built to leverage the power of modern cloud infrastructure, BlazeSQL provides a scalable and cost-effective solution for real-time data querying and advanced analytics. This service supports a variety of data sources including real-time streams, and it integrates smoothly with existing SQL workloads, making it an ideal choice for enterprises looking to enhance their data-driven decision-making capabilities.
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