All Episodes
The Dashboard Effect — 178 episodes · page 1 of 2
Data Governance When Your LLM Can See Everything
Getting the Same Answer from Power BI, Excel, and Your AI Agent
The Fabric Data Agent Goes GA
What an MCP Server Actually Does
The Platinum Layer: Getting Your Data Ready for AI
The Gold Layer: Your Best Data, Ready to Report
Bronze, Silver, Gold: A Practical Guide to Medallion Architecture
Can You Run Your BI on AI?
Using Vibe Coding in Real Data Projects
AI Won't Kill Your Coding Career
The Hidden Complexity Behind Simple Dashboards
Should You Build a Data Team or Borrow One?
How a PE-Backed Rollup Escaped Excel Chaos
Your Finance Stack Is Broken: Stop Trusting the Magic Spreadsheet
Antidote for Failed Data Projects
ROI for AI: Why Most Projects Fail (and How to Get Yours Right)
The Data Governance Behind Trusted AI
Making Data Work for Small Firms Without a Big Budget
Beyond the Wrapper: Making AI Work for Data Teams
From Custom Builds to Fivetran: Evolving Our Data Pipeline Strategy
Preparing Your Data for AI: What Most Companies Get Wrong
Choosing the Right Data Platform for Your Business: Fabric or Snowflake?
Inside Microsoft Build: The Rise of AI Agents
Breaking Down the Latest Fabric Updates from Microsoft Build
Why Private Equity Needs Its Own Data Lakehouse | PE Analytics & AI Readiness
5 Key Metrics for Middle Market Companies
If You Build It, Will They Use It? Culture’s Role in BI Success
Vanity Isn’t Strategy: Smarter Metrics for Smarter Teams
Safe, Smart, and Internal: Our Experimental Leap with AI
The Future of Microsoft Fabric: Will It Replace Synapse?
Revenue Reporting: It's Not as Simple as It Seems
Breaking Down Portfolio Monitoring Solutions
Role Based Security: Keeping Data in the Right Hands
From Theory to Practice: Making AI Work in the Real World
How to Build Smarter Reports with Power BI
Is Raw or Aggregated Data Better for Analytics Decisions?
Schema on Write vs. Schema on Read: What’s Faster for Your Business?
Understanding Semantic Models and Data Lake House Layers
NetSuite Data Pipeline: Surprising API Challenges & ODBC Solution
How Bad Data Models Can Sabotage Your Reports
The Blueprint for Rolling Out BI to Hundreds of Users
Simplifying Your Data Pipeline for Maximum Performance
The Data Team Dilemma: Strategies for Surviving High Turnover
The Strategic Edge of Outsourcing Your Data Platform
Generative AI Analytics: Hype vs. Reality
Handling Multiple Currencies in Power BI
Modern Reporting with Power BI: Moving Beyond Email Reports
The Pitfalls of Augmenting Transactional Data with Excel for Reporting
Mastering Delta Loads: Caleb's Best Practices, Tips, and Workarounds
A Speed-Trust Equation: Fast Power BI Reports Increase End User Confidence
Watch Out for These Data Model Red Flags
Blueprints for Building an Internal BI Team
How to Use Leading and Lagging Metrics for Better Business Agility
Behind the Scenes in Power BI: Tips to Streamline Data Modeling
How to Democratize Data and Avoid the Chaos of Data Sprawl
The Human Side of AI Readiness - How to Prepare Your Team and Business Logic
Laying the Groundwork for Gen AI in Business Analytics
The Layman's Guide to Data Terminology: Part Three
The Layman's Guide to Data Terminology: Part Two
The Layman's Guide to Data Terminology: Part One
The KPIs You're Overlooking: Better Data Insights for Manufacturers
A Case Study: Unifying Data Sources with Azure Data Lake and Serverless SQL
From Data Setup to Power BI Reports: Considerations for Your Data Model (Semantic Layer)
How to Generate Realistic, Synthetic Data for Power BI with ChatGPT
How to Structure Your Data for Power BI Copilot
A Closer Look at Microsoft Fabric's Direct Lake and Data Pipelines
How to Prepare Your Data for AI Advances
Data Quality Sets the Stage for Generative AI: AWS's CDO Agenda for 2024
Data is Gold in AI's Wild West: Insights from Salesforce's State of Data & Analytics Report
How (& Why) to Prioritize Data Projects During ERP Transitions
Agile Data: How New Tech is Transforming Business Operations
Expert Insights Series - Kison Patel of M&A Science: Data’s Role in M&A Success
When it Comes to Power BI Dashboards, Simple is Better
Embracing Change: Use an Iterative Approach to Keep Your BI Relevant
How to Measure Success and Demonstrate ROI of Data Projects
Expert Insights Series - Bridging Data and Leadership: Advice on Bold Execution for Midmarket CEOs
Data Security in Microsoft Azure: Understanding Role-Level and Row-Level Security
Expert Insights Series - Unlock Market Potential: B2B Mid-Market Growth Strategies with BlueByrd
7 Strategies for Effectively Managing Data Teams
Data Lakes - The Solution to Siloed Data
The Reality of Generative AI in Analytics: Hype vs. Progress
How to Avoid the "Treadmill" and Build Your Data Team Continuity
Implement Results, Not Just Software Solutions
Overcoming "BI Paralysis" - The Killer of Business Intelligence Initiatives
Fast-Tracking Data Integration with Data Lakes
Not Quite 'Big Data': A Middle Market-Sized Approach to Data Management
Azure's New Threads: An Overview of Microsoft Fabric
Moving from Data Constraint to Data Maturity
Power BI: So Much More Than a Visual Analytics Tool
Expert Insights Series - SimonMed: How Data Insight Improves Performance for PE-Backed Healthcare Companies
Using Power BI to Deal with Bad Data
How to Unlock Value from Your Source System Data
Database 101: Breaking Down the Basics
Is Microsoft Fabric Your New All-in-One Solution?
Get Ready for Power BI Copilot
Demystifying Microsoft Fabric and OneLake
Expert Insights Series - Nestell & Associates: ERP Digital Transformation for Private Equity
Expert Insights Series - How ParkerGale Capital Supports Portfolio Growth with a Sales Metrics Playbook
The Complexities of Data Lake Management
Three Pillars for Your BI System Framework