SR Analytics

  Data agility — not just marketing budgets — will determine which CPG brands win in 2025.   McKinsey’s analysis   shows that CPG companies implementing comprehensive digital and AI transformations can achieve a five- to 15-percentage-point impact on EBITDA margins, while   AI is expected to generate $500 billion in value   for the global CPG industry by 2025. The retail and CPG industry stands at a critical inflection point. After years of supply chain disruptions, shifting consumer behaviors, and economic uncertainty, leading brands are discovering that traditional approaches no longer deliver competitive advantages. From my experience working with Fortune 500 CPG brands over the past several years, I’ve witnessed a fundamental shift: companies that excel at  cpg retail analytics trends  are capturing market share while competitors struggle with outdated reporting methods. NVIDIA’s State of AI in Retail and CPG 2025 survey  reveals that hundreds...

  Most companies are still fighting yesterday’s battles while smart organizations gain unfair advantages from tools nobody’s talking about yet. I watched a $50M company waste six months evaluating  Tableau vs. Power  BI while their scrappy competitor used an emerging platform to gain market-defining insights in just three weeks. The difference wasn’t the data — it was choosing the  right  tool instead of the  popular  one. The Uncomfortable Truth About BI Tool Selection Here’s what vendors won’t tell you:  73% of BI implementations fail to deliver expected ROI within the first year . Why? Because companies fall for marketing hype instead of understanding what they need. 🚨 Reality Check : Most businesses don’t need the “best” BI tool — they need the RIGHT BI tool. I’ve seen companies waste $100K+ on Tableau licenses when a $10/month Power BI subscription would’ve solved their problems perfectly. According to  Mordor Intelligence , the g...

  Why 67% of AI implementations fail and what successful organizations do differently The  AI analytics  gold rush is creating two types of companies: those gaining massive competitive advantages and those burning through budgets with little to show for it. After analyzing over 200 implementations across industries, I’ve identified exactly what separates success from expensive disappointment. The $47 Million Wake-Up Call Last year, I watched a Fortune 500 retailer lose $47 million on a Southeast Asia expansion that their traditional analytics team had green-lit. They had everything: customer surveys, market research, competitor analysis, and expensive consultants. The data pointed to “cautious optimism.” Six months later, they discovered they’d completely misread the market. The killer detail? Buried in their customer service logs were 847 complaints about product availability, which, when cross-referenced with social media sentiment and purchasing patterns, revealed...