Category: Data Analytics
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Power BI Slow Refresh: When to Push Logic Upstream
Summary A Power BI slow refresh that crawls past 30 minutes – paired with a PBIX file ballooning past 2 GB and three reports producing three different numbers for the same metric – is almost never a DAX performance problem. It’s business logic living in the wrong layer. This case study walks through how we refactored a…
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Power BI SCD Type 2: Fix Historical Reporting Using DAX
The Situation: A Quarterly Report That Told the Wrong Story Earlier this year, our data engineering team at ScriptsHub Technology was engaged on an analytics project for a client in the SaaS industry. The client’s revenue operations team relied on Power BI dashboards to track partner performance across regions, tiers, and account owners. During a…
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Power BI Performance Optimization for Slow Dashboards
Why Do Enterprise Power BI Dashboards Become Slow and Unresponsive? A mid-size global organization was losing $175,000 annually because their Power BI dashboards had become unusable. Reports built on flat single-table models processing over 10 million daily transactions took 28 seconds to load. Overnight refreshes stretched for more than three hours. A single dataset consumed more than…
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Why AWS Redshift Is Becoming the Foundation of AI-Ready Architectures
Amazon Redshift is no longer just a BI warehouse. For enterprise teams building ML pipelines, GenAI assistants, and retrieval-augmented generation (RAG) systems, Redshift has evolved into a governed transformation layer – the architectural foundation that determines whether AI systems perform reliably in production or fail silently under data inconsistency. At ScriptsHub Technologies, we experienced this firsthand…
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Power BI SCD Type 2: Fix Historical Reporting Using DAX
Discover the key AI trends shaping enterprise transformation in 2026 and how organizations can leverage them for competitive advantage.
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How Predictive Analytics Is Revolutionizing Supply Chain Efficiency in 2025
The supply chain remains the backbone of any business, and in today’s fast-moving global economy, efficiency determines competitiveness. Fortunately, predictive analytics, powered by AI, machine learning, big data, and real-time insights, transforms supply chains from reactive to proactive. By anticipating demand spikes, forecasting delays, optimizing inventory, and minimizing risk, companies improve supply chain efficiency, resilience,…