From 58% Adoption to Real-Time Operations: How Manufacturing CIOs Are Using Power BI
58% of manufacturers use Power BI, but only a few truly master it. Are you one of them, or still stuck in the spreadsheets era?
How Are 72% of Retail Leaders Predicting the Next Stockout Before It Happens?
If you opened your inventory dashboard right now, how confident would you be in these two statements? You’re turning your stock faster than last year.
Microsoft Fabric vs Traditional Data Warehousing: Why CIOs Are Switching in 2025
The era of static, siloed data warehouses is ending, and a new generation of intelligent, AI-ready data platforms is taking its place. For over two
How to Achieve ROI in 90 Days with Microsoft Fabric and Power BI Analytics
Organizations invest millions in analytics, but few see tangible returns. Research shows that up to 85% of analytics projects fail to deliver measurable business outcomes,
The Hidden Risks of Microsoft Fabric Projects (and How Addend Ensures 100% Success)
Microsoft Fabric is transforming how enterprises handle data analytics and AI workloads. But here’s what the glossy sales presentations don’t tell you: 68% of organizations
The True Cost of Building a BI Team In-House vs. Partnering with a Power BI Consulting Firm
When CFOs and COOs evaluate business intelligence (BI) investments, the headline cost rarely tells the whole story. Building an in-house Power BI team is the
Microsoft Fabric Implementation Cost vs Business Value: A CFO’s Guide
Nowadays, CFOs are being asked to fund AI and analytics initiatives that move the revenue needle now without creating a runaway cloud bill later. CFOs
How to Choose the Right Microsoft Fabric Implementation Partner: 7 Must-Ask Questions
The data analytics landscape has fundamentally shifted. Organizations are no longer asking whether they need a unified data platform; they’re asking how quickly they can
Why 90% of Manufacturers Are Stuck at 65% OEE (And How the Top 10% Break Free)
Here’s an uncomfortable truth that no one in manufacturing wants to admit: the 65% OEE ceiling isn’t a technology problem, it’s a leadership paradox. After
The Manufacturing Analytics Partner Checklist: 10 Questions to Ask Before You Decide
Why Most Manufacturing Analytics Projects Fail Industry research shows 60–70% of BI and analytics projects fail to deliver expected results (Gartner). The reasons are surprisingly
