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All Episodes

The Dashboard Effect — 176 episodes

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Title
1

The Fabric Data Agent Goes GA

2

What an MCP Server Actually Does

3

The Platinum Layer: Getting Your Data Ready for AI

4

The Gold Layer: Your Best Data, Ready to Report

5

Bronze, Silver, Gold: A Practical Guide to Medallion Architecture

6

Can You Run Your BI on AI?

7

Using Vibe Coding in Real Data Projects

8

AI Won't Kill Your Coding Career

9

The Hidden Complexity Behind Simple Dashboards

10

Should You Build a Data Team or Borrow One?

11

How a PE-Backed Rollup Escaped Excel Chaos

12

Your Finance Stack Is Broken: Stop Trusting the Magic Spreadsheet

13

Antidote for Failed Data Projects

14

ROI for AI: Why Most Projects Fail (and How to Get Yours Right)

15

The Data Governance Behind Trusted AI

16

Making Data Work for Small Firms Without a Big Budget

17

Beyond the Wrapper: Making AI Work for Data Teams

18

From Custom Builds to Fivetran: Evolving Our Data Pipeline Strategy

19

Preparing Your Data for AI: What Most Companies Get Wrong

20

Choosing the Right Data Platform for Your Business: Fabric or Snowflake?

21

Inside Microsoft Build: The Rise of AI Agents

22

Breaking Down the Latest Fabric Updates from Microsoft Build

23

Why Private Equity Needs Its Own Data Lakehouse | PE Analytics & AI Readiness

24

5 Key Metrics for Middle Market Companies

25

If You Build It, Will They Use It? Culture’s Role in BI Success

26

Vanity Isn’t Strategy: Smarter Metrics for Smarter Teams

27

Safe, Smart, and Internal: Our Experimental Leap with AI

28

The Future of Microsoft Fabric: Will It Replace Synapse?

29

Revenue Reporting: It's Not as Simple as It Seems

30

Breaking Down Portfolio Monitoring Solutions

31

Role Based Security: Keeping Data in the Right Hands

32

From Theory to Practice: Making AI Work in the Real World

33

How to Build Smarter Reports with Power BI

34

Is Raw or Aggregated Data Better for Analytics Decisions?

35

Schema on Write vs. Schema on Read: What’s Faster for Your Business?

36

Understanding Semantic Models and Data Lake House Layers

37

NetSuite Data Pipeline: Surprising API Challenges & ODBC Solution

38

How Bad Data Models Can Sabotage Your Reports

39

The Blueprint for Rolling Out BI to Hundreds of Users

40

Simplifying Your Data Pipeline for Maximum Performance

41

The Data Team Dilemma: Strategies for Surviving High Turnover

42

The Strategic Edge of Outsourcing Your Data Platform

43

Generative AI Analytics: Hype vs. Reality

44

Handling Multiple Currencies in Power BI

45

Modern Reporting with Power BI: Moving Beyond Email Reports

46

The Pitfalls of Augmenting Transactional Data with Excel for Reporting

47

Mastering Delta Loads: Caleb's Best Practices, Tips, and Workarounds

48

A Speed-Trust Equation: Fast Power BI Reports Increase End User Confidence

49

Watch Out for These Data Model Red Flags

50

Blueprints for Building an Internal BI Team

51

How to Use Leading and Lagging Metrics for Better Business Agility

52

Behind the Scenes in Power BI: Tips to Streamline Data Modeling

53

How to Democratize Data and Avoid the Chaos of Data Sprawl

54

The Human Side of AI Readiness - How to Prepare Your Team and Business Logic

55

Laying the Groundwork for Gen AI in Business Analytics

56

The Layman's Guide to Data Terminology: Part Three

57

The Layman's Guide to Data Terminology: Part Two

58

The Layman's Guide to Data Terminology: Part One

59

The KPIs You're Overlooking: Better Data Insights for Manufacturers

60

A Case Study: Unifying Data Sources with Azure Data Lake and Serverless SQL

61

From Data Setup to Power BI Reports: Considerations for Your Data Model (Semantic Layer)

62

How to Generate Realistic, Synthetic Data for Power BI with ChatGPT

63

How to Structure Your Data for Power BI Copilot

64

A Closer Look at Microsoft Fabric's Direct Lake and Data Pipelines

65

How to Prepare Your Data for AI Advances

66

Data Quality Sets the Stage for Generative AI: AWS's CDO Agenda for 2024

67

Data is Gold in AI's Wild West: Insights from Salesforce's State of Data & Analytics Report

68

How (& Why) to Prioritize Data Projects During ERP Transitions

69

Agile Data: How New Tech is Transforming Business Operations

70

Expert Insights Series - Kison Patel of M&A Science: Data’s Role in M&A Success

71

When it Comes to Power BI Dashboards, Simple is Better

72

Embracing Change: Use an Iterative Approach to Keep Your BI Relevant

73

How to Measure Success and Demonstrate ROI of Data Projects

74

Expert Insights Series - Bridging Data and Leadership: Advice on Bold Execution for Midmarket CEOs

75

Data Security in Microsoft Azure: Understanding Role-Level and Row-Level Security

76

Expert Insights Series - Unlock Market Potential: B2B Mid-Market Growth Strategies with BlueByrd

77

7 Strategies for Effectively Managing Data Teams

78

Data Lakes - The Solution to Siloed Data

79

The Reality of Generative AI in Analytics: Hype vs. Progress

80

How to Avoid the "Treadmill" and Build Your Data Team Continuity

81

Implement Results, Not Just Software Solutions

82

Overcoming "BI Paralysis" - The Killer of Business Intelligence Initiatives

83

Fast-Tracking Data Integration with Data Lakes

84

Not Quite 'Big Data': A Middle Market-Sized Approach to Data Management

85

Azure's New Threads: An Overview of Microsoft Fabric

86

Moving from Data Constraint to Data Maturity

87

Power BI: So Much More Than a Visual Analytics Tool

88

Expert Insights Series - SimonMed: How Data Insight Improves Performance for PE-Backed Healthcare Companies

89

Using Power BI to Deal with Bad Data

90

How to Unlock Value from Your Source System Data

91

Database 101: Breaking Down the Basics

92

Is Microsoft Fabric Your New All-in-One Solution?

93

Get Ready for Power BI Copilot

94

Demystifying Microsoft Fabric and OneLake

95

Expert Insights Series - Nestell & Associates: ERP Digital Transformation for Private Equity

96

Expert Insights Series - How ParkerGale Capital Supports Portfolio Growth with a Sales Metrics Playbook

97

The Complexities of Data Lake Management

98

Three Pillars for Your BI System Framework

99

Expert Insights Series - CIO Insight into Data Monetization, Data Lakes, and AI

100

Expert Insights Series - Middle Market Methods' Value Creation Roadmap™ for Private Equity

101

AI: The Case for a Data Lake?

102

Prepare Your Data for ChatGPT

103

Why Build a Data Lake in the First 100 Days

104

Building Strategic BI Reports: Key Questions for Stakeholders

105

Expert Insights Series - Weave Growth Partners on Private Equity's Late Adoption of Data-Driven Practices

106

KPIs for Midmarket Manufacturers

107

Understanding the Data Source

108

How Data Transparency Supports Our Team Culture and Performance

109

Making the Case for BI

110

Value Creation with BI Through Human Centered Design, w/ Brian T. O'Neill

111

Dealing with Untrustworthy Data

112

Becoming Data-Driven - Data Culture Misconceptions

113

Expert Insights Series - BI Projects Drive Financial Transformation, a PMO Leader's Insights

114

Expect Iterations on Your BI Projects

115

Expert Insight Series - Data as a Powerful Change Agent with Anthony Algmin

116

Four Simple Ways to Improve BI Adoption

117

Expert Insights Series - One Rock Capital: Top Line Growth Strategies

118

What Do You Need for Successful Self-Service BI?

119

Expert Insights Series - Extract More Value from Your Power BI Data with Power ON

120

Expert Insight Series - How Trace3 Accelerated Their VCP with an OKR Dashboard

121

ETL & Data Warehouse Architecture with David Dimmen

122

Expert Insight Series - Industrial Growth Partners: Using Data to Maximize Value and Performance Throughout the Investment Lifecycle

123

Expert Insight Series - Forbes’ “Grandfather of Gamification”: Data Creates a Culture of Growth

124

Using BI to Optimize Your Hiring

125

Expert Insight Series - BI Strategies for PE Portco Acceleration with Marty Moore of Tenex Capital Management

126

BI Project Execution with Jennie Swenson

127

Data Warehouse vs. Data Lake - Which do you need?

128

Is Snowflake Your Data Warehouse Nirvana?

129

BI Project Initiation, with Anne Eisenach

130

Expert Insight Series - Change Management with Dain Johnson of Rev 0

131

Don't Drown in a Waterfall!

132

PM Series - Resource Planning, with Jennie Swenson

133

How to Fire Your BI Vendor

134

BI Project Scoping, with Anne Eisenach

135

Expert Insight Series - Tecum Capital: How Private Equity Can Leverage Data Across Industrials for Higher Returns

136

How to Hire a Good BI Visualization Engineer

137

Using BI to Find Alpha in Private Equity, with Greg Brown

138

Azure Synapse Analytics - What the Heck is It?

139

You CAN Herd Cats - Get to Your Data Faster with a Lake(house)

140

Time Intelligence, with Sarah Martinez

141

Expert Insight Series - Notch Partners CEO: Leveraging Data and Curating a Large Pool of Executives for the Right Deal, at the Right Time

142

The Brontosaurus and the Root of all (Business) Problems

143

The Age Old BI Challenge, with Greg Brown

144

BI Metrics for the Legal Industry, with Kate Eberle

145

Horse Before the Cart - Start With the Reporting Need

146

Why Not Use Automatic Connectors Every Time?

147

Expert Insight Series - Data Driven versus Non-Data Driven Companies, Interview with Andy Scott, PE CTO

148

Top Shelf Business Intelligence, with Courtney Tewalt

149

Mid-Market BI, Just the Right Size

150

Snickers Bars and Master Data Management

151

Found One Million Dollars of Missing Invoicing Thanks to BI

152

The Downsides of Manual Reporting, with Bryan Maltais

153

Azure and Power BI - A Match Made in BI Heaven

154

How Not to Build a Dashboard

155

The Pros and Cons of Low or No code ETL Tools

156

When Not to Use a Data Warehouse

157

How to Budget for a BI Project, with Kate Eberle

158

Using BI to Drive Accountability, with Greg Brown

159

How to Effectively Manage a BI Project, with Jennie Swenson

160

Why We Moved to Fixed-Price Billing

161

How to Succeed with BI: Types of Data Sources and Data Integration

162

Expert Insight Series - Taking Advantage of Economic Headwinds, Interview with Jill Belconis

163

How to Quickly Get BI Wins

164

BI Is Not the Same as an ERP Implementation

165

Why Spend Time on Report Design and Wireframing, with Will Trickett

166

How to Succeed with BI: Aligning on Metrics

167

How to Succeed with BI: Defining the Impact

168

How to Succeed with BI: External Partner or Internal Team?

169

Who Should Own BI in Your Company, with Kate Eberle

170

Data Warehouses - Why the Bad Rap?

171

Why Power BI (vs. Tableau, Qlik, etc.)?

172

Performing Data Diligence

173

Data Visibility and the PE-Backed Executive

174

Expert Insight Series - Interview with Adam Coffey, Author of The Private Equity Playbook

175

When Changes to Your Business Break Your Reporting

176

Do You Really Need a Data Warehouse?