Author: Alex Khodas

Rolls-Royce Empowers ‘Citizen Developers,’ Mercedes-Benz Korea Enhances Data Insights

Rolls-Royce is driving innovation by enabling employees, known as ‘citizen developers,’ to build internal applications with low-code platforms such as Microsoft Power Apps. At the same time, Mercedes-Benz Korea uses Power BI and Databricks to develop a data-driven approach to key performance indicators (KPIs), allowing for more intuitive data interaction. Both initiatives have delivered measurable […]

Dentsu Revolutionizes Data Analytics with Microsoft Fabric, Achieving 55% Faster Replication

Dentsu, a global advertising leader, is improving its data analytics by partnering with Microsoft and using Microsoft Fabric. This upgrade speeds up data replication and insights, helping teams work more efficiently and serve clients better.  By breaking down data barriers, Dentsu is making information more accessible and preparing for advanced AI-driven decisions. Key Takeaways Accelerated […]

Microsoft Unveils Unified AI Platform, Merging Databases and Fabric at FabCon/SQLCon 2026

Microsoft held its annual FabCon and the first SQLCon in Atlanta, bringing together 8,000 attendees to learn about how databases and Microsoft Fabric are coming together. The event focused on new ways to build a unified data platform that speeds up AI development and deployment. Key Takeaways Unified Data Platform: Microsoft Fabric and SQL Server […]

How a US Manufacturer Cut Reporting Time 80% with Fabric

This case study highlights how a mid-sized US manufacturer transformed reporting and analytics by implementing Microsoft Fabric. Confronted with data silos, manual reporting, and delayed business insights, the company deployed Microsoft Fabric, OneLake, and Power BI to centralize data and automate reporting. The initiative reduced reporting time by 80%, improved data accuracy, and provided leadership […]

Microsoft Fabric Workspace Strategy for Dev, Test, and Prod

A disorganized tenant can cover up poor decisions for a long time, only to cause reporting failures with a single bad release. If your team develops in the same workspace where executives check KPIs, the issue is not the tool itself. The real problem is not having a solid plan for your Fabric workspace strategy. […]

Dashboard Design Framework: 6 Steps to Build Visuals People Will Use

If people ignore a dashboard after the first week, the problem usually is not the color palette. It is the logic behind the page. Most dashboards fail because they mix too many goals, too many metrics, and too little context. A strong dashboard design framework keeps the page tied to a specific business intelligence objective, […]

Microsoft Fabric Capacity Planning: Workload Mapping First

Effective Microsoft Fabric capacity planning is essential because picking the wrong tier is expensive in two different ways. You either pay for idle Capacity Units (CUs) that sit unused, or you pay the price in slow refreshes, missed SLAs, and frustrated report users. For growing analytics teams, this process is where cost control meets trust […]

Microsoft Fabric Migration for Mid-Sized Companies Leaving Excel

Excel rarely fails all at once. First, reports take longer to generate. Then, figures stop matching across departments. Soon, your most talented team members spend half their week chasing down disconnected files instead of analyzing the actual business trends. This pattern is common in mid-sized companies. A few spreadsheets turn into dozens, then hundreds, and […]

Building Cost-Effective AI-Ready Data Pipelines in Microsoft Fabric

Most AI projects do not fail at the modeling stage. Instead, they stall due to delayed, duplicated, costly, or unreliable data. If your company uses Microsoft 365, Azure, or Power BI, Microsoft Fabric data pipelines can address these issues without introducing another disconnected platform. The benefit is clear: lower operating costs now and improved data […]

How Generative AI Is Changing Business Intelligence

In business intelligence, generative AI enables the reporting layer to provide answers in plain English. It can generate summaries, explain anomalies, or create initial charts without waiting for a new report. Teams benefit from faster insights, less manual work, and up-to-date data, but AI is effective only if the data is trusted and governed. The […]

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