Brad Peters

Brad is the co-founder and CEO of Scoop Analytics. He has spent his career building tools for operators who run multi-location businesses, and thinks the gap between data and action is a management problem, not a technology one.

• Your AI doesn't need to be smarter to work in analytics. It needs a harness.
• Why dumping documents into an AI won't save you
• Build vs Buy Analytics: Who Actually Uses It
• Your data is dirtier than your pilot let on
• Dashboard summaries are easy. Investigation is not.
• SaaS apps have data models. AI apps have context models. Here's why that distinction matters.
• The AI trust problem nobody is talking about
• It demos well (that's the problem)
• The AI is the easy part
• How organizations improve performance using AI in supply chain management
• Why your retail AI pilot is not working
• Why hotel franchisees don't get operational intelligence
• 5 Dashboard Blind Spots a Multi-Store Retail COO Showed Me This Week
• The Drift Problem in Retail: Why the Plan is Not What's Broken
• “There are 1,000 reasons a store can be doing poorly”: A retail strategy leadership lesson
• What Is Marketing Attribution? How It Works, Models, and Common Challenges
• How Embedded Analytics Turns Data Into Products
• "How Long Does It Take a Lead to Convert?": What I Learned This Week from a Sales Team
• "That Is What I Always Hoped an Analyst Would Do": What I Learned from a Marketing Leader This Week
• "Millions of Dashboards and Nobody Can Tell You Why Anything Happened": What I Learned from an Enterprise Veteran This Week
• What Are the Key Features of Traditional BI Platforms?
• "We Know the Number Is Down. We Just Don't Know Why.": What I Learned from a Growth Lead This Week
• Why Business Intelligence Isn't Actually Intelligent
• The Sales Analytics Blind Spot
• Why We Built Scoop Analytics the Way We Did
• “We're Held Accountable to Forecast Accurately": A Lesson from a Revenue Leader
• The AI Analytics Investigation Workflow
• Monitoring Analytics Tells You 'WHAT' But Investigation Tells You 'WHY'
• Why Does AI Analytics Need Three Layer Architecture to Actually Work?
• Business Logic Text: The Missing Layer in Every AI Analytics Platform
• Real ML vs. Fake AI: The Number Logic Test
• The CFO Question: How Scoop's Three-Layer Architecture Passes the Business Logic Test
• The 18-Month Compliance Gap: What Happens When Your AI Can't Explain Itself
• The Chatbot Trap: Why Slapping AI on Products Doesn't Work
• Your AI Doesn't Know Your Business
• "Everyone Has This Problem": What I Learned About Competitive Intelligence
• "The Data It's Just Cumbersome": What I Learned from a Marketing Leader This Week
• What I Learned About Business Intelligence from an Ecommerce Operator
• "I Don't Have Time to Be Strategic": What I Learned from a Solo Analytics Team This Week
• "I Don't Need More Tech. I Need to Push the Needle": What I Learned from a Marketing Leader This Week
• "I Just Want My Clients to See the Data": What I Learned from a Market Analyst This Week
• What I Learned from a Startup Founder About the Gap in BI Tools
• Why Sales Teams Are Drowning in Useless Data: A RevOps Lesson
• What I Learned About AI Analytics This Week
• The Clarity You Need: Understanding Client Engagement with Heatmaps in Slack
• Talk to Your Pipeline: How Sales Teams Can Use Slack to Drive Deals with Their Data
• Prepare in Minutes, Not Hours: How AI in Slack Streamlines CS Meeting Prep with Live Data
• "It's Like Herding Cats": What I Learned from a Sales Manager This Week
• How AI Analytics in Slack Helps Marketing Teams Turn Data Into Instant Campaigns
• Accelerate Your Sales Engine: AI Data Analytics and Deal Flow All in Slack
• The Top Customer Success Signals You’re Missing—And How AI Analytics in Slack Finds Them First
• What Happens When Your Customer Data Can Talk Back?
• Why Customer Usage Drops: Pattern vs. Metric
• Your Health Score Misses the Signs. Scoop Spots Them First
• We Just Gave Everyone in Slack a PhD in Data Science
• Your Best Marketing Insights? Just One Slack Message Away
• What Actually Drove Last Quarter’s Conversions? Let the AI Tell You
• You’re Sitting on Segments That Convert 3x Better. Your AI Data Scientist Can Help You Find Them
• Segment and Cluster Discovery: Your AI Data Scientist's First Superpower
• Why We Built Scoop: The First Real AI Data Scientist
• GPT Feels Like It Knows Your Data—But It Might Be Lying
• Financial Reporting Is Broken: Why You Must Combine Cost with Activity to Make Smart Decisions
• You Have Agile, Now What? How Data Visibility Enhances Engineering Performance
• If You Need a Certification to Use It, Is It Really Self-Service?
• Are We Overcomplicating BI? The Case for Simplified, Self-Serve Analytics
• Fusing Machine Learning (ML) with Large Language Models (LLMs)
• Think DBT Can Handle Change Analysis? Here’s What You’re Missing
• Back to Where We Left Off: BI’s Journey from On-Prem to Cloud and the Future Ahead
• KPI Dashboards need to be left behind: The Future Lies in Data Storytelling
• The Future of BI: Lessons from Scoop’s 2024 Journey
• Old School BI vs. Modern BI: Why It’s Time for a Change
• AI-Enabled Data Sources: The Missing Ingredient in Legacy BI