Insights, tutorials, and thoughts on data analytics
Text-to-SQL has become remarkably accurate in demos and benchmarks. So why are enterprises still struggling to adopt it successfully? The issue is not model capability anymore — it is ecosystem readiness.
We explore the three main bottlenecks: semantic mapping, data model design, and context engineering — and what needs to change for Text-to-SQL to work in the real world.
Read MoreFor over a decade, organizations have dreamed of self-service analytics — a world where every business user could explore data without depending on engineers. Yet most enterprises still rely heavily on data teams for even simple questions.
Why has self-service analytics failed — and could Text-to-SQL and natural-language interfaces to data finally make it real? We explore the challenges, current progress, and what needs to happen next.
Read MoreKey Performance Indicators (KPIs) are essential metrics that help organizations track progress towards their goals. In this post, we'll explore how to build effective KPI dashboards that drive decision-making.
A well-designed dashboard should be clear, actionable, and focused on the metrics that matter most to your business. Here are some best practices...
Read MoreThe landscape of data analytics continues to evolve rapidly. Organizations that embrace data-driven decision making gain significant competitive advantages.
In this article, we discuss the latest trends and best practices for leveraging data to drive business outcomes...
Read MoreWelcome to the Derive From Data blog! We're excited to share our knowledge and insights about data analytics, KPI tracking, and business intelligence.
Stay tuned for regular updates with practical tips, case studies, and in-depth tutorials.
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