Private Equity Data Guy

Private Equity Data Guy

By Graeme CrawfordBusinessTechnologyInvesting
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Private Equity Data Guy episodes

  • How Small Business Financial Data Reveals Success or Failure: M&A Expert Shares Hidden Patterns

    The episode of Transformed With Data podcast, Graeme Crawford talks with Michael Young, owner of an outsourced accounting firm, about the hidden patterns in small business financial data. Michael shares insights from analyzing hundreds of M&A deals at PwC and now helping small businesses navigate their finances, revealing why sophisticated data systems can actually hurt small companies and the critical indicators that predict business success. They discuss the dangers of software sprawl, why cash flow understanding matters more than perfect attribution metrics, and how private equity rollups often oversell integration benefits while underestimating the operational challenges of merging multiple businesses.

    0:00 - Private equity rollup challenges

    0:26 - AI marketing vs value delivery

    0:41 - Perfect attribution illusion

    2:33 - Small business financial patterns

    3:47 - Cash balance fixation

    5:53 - Software subscription creep

    8:05 - Cross-selling opportunities discovered

    10:36 - Three business segments explained

    13:14 - Owner focus challenges

    17:23 - P&L as scorecard

    20:19 - Financial statement limitations

    24:02 - CRM consolidation pain

    26:45 - AI and accounting accuracy

    29:45 - Customer acquisition complexity

    32:48 - Attribution measurement challenges

    35:20 - Instant gratification culture

    39:00 - Government contracting focus

    41:36 - Ultra-niche software emergence

    44:31 - Trust yourself advice

    Companies mentioned in this episode:

    • HubSpot
    • Salesforce
    • PwC
    • Bay Business Group
    • Ramp

    47 min
  • How to Scale Trust in the Age of AI: Data-Driven Marketing That Actually Works

    How to Scale Trust in the Age of AI: Data-Driven Marketing That Actually Works

    Transformed With Data Episode 13:How to Scale Trust in the Age of AI: Data-Driven Marketing That Actually Works

    On this episode of Transformed with Data, Graeme Crawford talks with Lauren Gibson, marketing professional and strategic brand consultant, about why traditional marketing metrics might be destroying the trust brands need to survive. Lauren shares how she's generated over 41,000 leads by scaling authentic relationship moments through her Connections newsletter and networking events. They discuss why only 22% of brands measure trust at board level despite those who do achieve three times stronger profits, how AI should enhance rather than replace human connections, and why Gen Z's approach to data privacy reveals what really drives business in an age of artificial intelligence.

    0:00 - The Missing Link in LinkedIn

    3:31 - Trust vs Traditional Metrics

    7:25 - Measuring What Actually Matters

    11:11 - Gen Z and Data Exchange

    15:33 - Building Trust Through Referrals

    19:20 - The Power of Personalized Video

    23:34 - Writing Your Way to Connection

    26:43 - How Travel Rewires Your Brain

    31:42 - British vs American Humor

    38:23 - Mental Health and Physical Connection

    44:31 - Believing You're Worth It



    Find Lauren here:

    https://www.linkedin.com/in/linkwithlauren/

    https://laurenrosegibson.com/

    https://letterlaunched.com/



    Companies mentioned in this episode:

    • LinkedIn
    • YouTube
    • Crawford McMillan
    • Letter Launched
    • McKinsey
    • Amazon
    • Netflix
    • ARK
    • Perplexity Comet
    • Capital One
    • IBM
    • Accenture

    48 min
  • How to lose weight using data

    The episode of Transformed with Data, Graeme Crawford talks with Allison Tallman, a registered dietitian, about how people fail at nutrition not from lack of data but from turning that data into self-judgment. Allison shares her approach to breaking the diet cycle through mindset shifts and reconnecting with natural hunger cues rather than obsessing over calorie tracking. They discuss the psychology behind sustainable weight loss, why the current protein myths are misleading, and how busy professionals can achieve their health goals without MyFitnessPal or constant food tracking. The conversation explores alternatives to Ozempic, the importance of metabolism health, and practical strategies for mindful eating that lead to lasting change.

    0:00 - Ozempic weight concerns

    0:24 - Protein myths debunked

    0:41 - Breaking diet perfectionism

    2:02 - Nutrition data struggles

    2:58 - Ozempic vs sustainable methods

    4:50 - Weight loss psychology

    6:03 - Ozempic insurance issues

    7:24 - Nutrition label confusion

    9:10 - Weight compound metrics

    10:10 - 3M method introduction

    11:19 - Metabolism starvation mode

    13:36 - Summer body mindset

    15:15 - VO2 max longevity

    17:17 - Protein requirements myth

    19:36 - Protein quality labeling

    22:26 - Reconnecting body signals

    24:59 - Healing food relationships

    26:44 - Intuitive eating children

    28:48 - Implementation over knowledge

    30:24 - All-or-nothing mentality

    32:00 - Finding your why

    34:21 - Visual food cues

    37:36 - Sleep score pitfalls

    38:37 - Ideal client profile

    40:47 - Accountability importance

    42:00 - Free masterclass resources

    44:14 - Final calorie-free advice

    46 min
  • How to Build a Data-Driven Culture: From Startup to 8-Figure Exit

    Transformed With Data Episode 11:How to Build a Data-Driven Culture: From Startup to 8-Figure Exit

    The episode of Transformed with Data Podcast, Graeme Crawford sits down with Dmitri Adler, Co-Founder and Chief Solution Architect at Data Society, to discuss why most companies claiming to be data-driven actually aren't. Dmitri shares his journey from automating Wall Street work to building a bootstrapped powerhouse that achieved an eight-figure exit, revealing how the real challenge isn't in doing the analysis but in empowering everyone to use data fluently. The conversation explores why dashboards won't save your culture, what kills true data adoption, and the critical difference between companies that scale with data versus those that simply store it. Dmitri offers hard-won insights on building a culture where mistakes are learning opportunities, why small teams outperform large ones, and how successful leaders can become their own worst enemy when implementing data initiatives.

    0:00 - Introduction and Data Like Water

    3:02 - Why Data Initiatives Fail

    7:02 - Creating a Culture of Transparency

    11:23 - Measuring What Matters

    14:37 - Getting Leadership Buy-In

    17:41 - The Frozen Middle Problem

    20:00 - Small Teams Win Big

    24:04 - Delegating Decision Authority

    27:00 - Technology vs Business Case

    31:01 - AI and Over-Engineering

    35:12 - Scaling Without Breaking

    38:41 - Market-Driven Decision Making

    42:13 - Embracing Being Wrong

    Companies mentioned in this episode:

    • Data Society
    • Crawford McMillan
    • Capital One
    • IBM
    • Accenture
    • JP Morgan
    • Air Force
    • Amazon
    • Whole Foods
    • Tesla

    43 min
  • AI Strategy Lessons from the White House

    Transformed With Data Episode 10:How to Drive 600% Data Engagement: AI Strategy Lessons from the White House

    The episode of Transformed with Data podcast, Graeme Crawford talks with Dia Adams, best-selling author of "Winning With AI: A Blueprint for Corporate Leaders" and former enterprise data strategist for the White House. Dia shares how she increased engagement in the SEC's data catalog by 600% through strategic storytelling and reveals why most AI initiatives fail before they start - not because the technology isn't ready, but because organizations aren't. Drawing from her unique experience steering data transformations at Bank of America, Johnson & Johnson, and within federal government, she explains how to secure real buy-in for AI projects, navigate the psychological pressures of high-stakes data decisions, and why successful data leadership is 50% technical and 50% psychological.

    0:00 - Introduction and data therapy concept

    3:30 - Government data decision-making challenges

    7:30 - Coping with high-stakes pressure

    11:30 - Mentorship under General Colin Powell

    17:30 - Listening and leadership lessons

    21:30 - The power of optimism

    24:30 - 600% engagement increase at SEC

    30:30 - Data visualization best practices

    33:30 - Common patterns across industries

    37:30 - Chief Data Officer challenges

    40:30 - AI implementation red flags

    44:30 - Business first, AI second

    46:30 - Contact information and closing

    48 min
  • How Data Transparency Transforms Democracy

    The episode of Transformed With Data podcast, Graeme Crawford talks about data transparency and civic engagement with Chris Piper, former Virginia Elections Commissioner. Chris discusses his role as Executive Director of Virginia's Public Access Project (VPAP), a nonpartisan organization that makes campaign finance data, election results, and legislative information accessible to citizens. The conversation explores how VPAP transforms complex government data into actionable insights, the importance of state and local politics in daily life, and how informed citizens can effectively engage with their representatives. Chris emphasizes that while federal politics gets most attention, state and local governments handle issues like education, transportation, and public safety that directly impact people's lives. He shares insights about election integrity, the role of data in democracy, and how Virginia legislators agree unanimously on over 75% of votes despite perceived political divisions.

    0:00 - Introduction and Chris Piper Background

    3:00 - Origins of VPAP in 1996

    6:00 - Evolution to VA News Service

    9:00 - Civic Navigator Education Program

    12:00 - State vs Federal Government Impact

    15:00 - Data Shows Unity in Virginia

    18:00 - Open Data Challenges

    21:00 - Maintaining Nonpartisan Balance

    24:00 - News Curation Process

    27:00 - Data Maturity Assessment Ad

    30:00 - Trust in Media Discussion

    33:00 - Education Data Example

    36:00 - Elections and Data-Driven Decisions

    39:00 - Early Voting Analysis

    42:00 - Informed Citizens Impact Policy

    45:00 - VPAP as Virginia Unicorn

    Companies mentioned in this episode:

    • Crawford McMillan
    • Virginia Public Access Project (VPAP)

    48 min
  • How to Build Data Strategies That Actually Work

    The episode of Transformed with Data podcast, Graeme Crawford talks with Dylan Anderson, head data strategist at Profusion and creator of the Data Ecosystem newsletter, about why most data strategies fail and how to build systems that actually deliver business outcomes. Dylan shares insights from his recent study of 25-30 data leaders, revealing that successful data transformation requires focusing on business value over technology choices, and that most organizations are more excited about using AI to improve data quality and existing infrastructure than pursuing cutting-edge agentic AI. The conversation explores the critical gap between data architecture and action, emphasizing how data teams must connect their work directly to business strategy and develop strong stakeholder relationships to succeed.

    Chapter Timestamps:

    0:00 - AI knowledge and marketing strategy

    4:30 - Data leaders research study overview

    7:45 - AI adoption in enterprise reality

    11:50 - Using Claude for newsletter writing

    16:20 - Visual frameworks and Excalidraw tools

    19:45 - Business strategy temple framework

    23:30 - Shared definition of business success

    27:00 - Data maturity assessment introduction

    29:15 - Learning to leverage team expertise

    33:20 - Poor data infrastructure costs

    37:10 - CRM implementation challenges

    41:25 - Growing newsletter to 7500 subscribers

    45:30 - LinkedIn algorithm and content strategy

    48:00 - Future hopes for data industry

    51 min
  • Why Smart People Make Terrible Business Decisions

    The episode of Transformed With Data Podcast, Graeme Crawford talks with executive coach Glen Hellman about why smart people often make terrible business decisions and how to avoid decision paralysis. Glen, recently recognized as a top executive coach by Inc. Magazine, shares insights on how too much data can actually hinder decision-making, why our brains are wired for simple choices rather than complex analysis, and practical strategies for making better choices in business. They discuss the importance of simplifying decisions, understanding your ideal clients, embracing failure as a learning tool, and recognizing the role luck plays in entrepreneurship.

    Chapter Timestamps:

    0:00 - Walking away from bad-fit customers

    0:29 - Scale your business with data intro

    1:04 - Why smart people make bad decisions

    2:04 - Glenn Hellman introduction and credentials

    2:29 - Decision making and data obsession

    4:33 - Inc. Magazine recognition discussion

    4:41 - Smart people and too much data

    5:02 - Satisficers versus optimizers explained

    6:45 - Rating cities decision example

    8:21 - Restaurant app rating system

    9:05 - Cerebellum versus reptilian brain

    11:05 - Processing information for decisions

    11:37 - House buying decision framework

    14:27 - Alternative house hunting strategy

    15:23 - Perfect client scoring system

    16:10 - Walking away from customers

    17:12 - Coaches are like gloves

    19:13 - Three bucket customer system

    21:13 - Grant's tomb burial story

    22:46 - Coaching failure and risk

    24:32 - Flight simulator failure analogy

    25:11 - 80% solution versus perfection

    25:24 - LinkedIn ads testing example

    27:16 - Decision making frameworks discussed

    29:09 - Self-limiting beliefs from childhood

    32:09 - Rebelling against management story

    33:20 - School system and curiosity

    35:44 - Academic team advisory experience

    37:23 - Context in corporate environments

    38:48 - Gathering data for decisions

    39:51 - Perfect decision possibility discussion

    40:25 - Correlation versus causation examples

    41:25 - iPhone and WWII veterans

    42:26 - Nicolas Cage drowning correlation

    43:26 - Too much data finding correlations

    44:36 - Data Maturity Assessment advertisement

    47:53 - Glitter traction versus real traction

    48:47 - Conversion rates and rate of change

    50:30 - Intelligence as behavior change

    51:31 - AI and outdated skills

    52:54 - Cursive writing value today

    54:34 - Pattern interrupt marketing strategy

    55:34 - Lumpy mail and Whoop Ass

    58:35 - Sarcastic LinkedIn comments strategy

    59:35 - Teaching outdated skills discussion

    61:37 - Business success dice analogy

    63:37 - Luck versus intelligence discussion

    65:40 - Snake eyes and learning

    66:40 - Accountability for outcomes

    67:44 - Best leaders take team failures

    68:41 - Fault and responsibility discussion

    69:41 - Summary of key learnings

    70:42 - Contact information for Glen

    71:43 - Closing remarks


    Companies mentioned in this episode:

    • Crawford macmillan
    • National Science Foundation
    • Inc. Magazine
    • Capital One
    • IBM
    • Accenture
    • Belly

    44 min
  • Why Measuring the Wrong Thing Can Destroy Your Business:

    Scale Your Business With Data Episode 6:Why Measuring the Wrong Thing Can Destroy Your Business: Data Lessons from Vietnam to Modern Analytics.

    On this episode of Scale Your Business With Data podcast, Graeme Crawford talks with Gurwinder Bhogal about the critical importance of measuring what truly matters in business and life. Drawing from historical examples like the McNamara Fallacy from the Vietnam War, they explore how focusing on easily quantifiable metrics while ignoring qualitative data can lead to catastrophic outcomes. The conversation delves into modern applications of data measurement, from social media metrics and sentiment analysis to health tracking devices, emphasizing the dangers of compound metrics like "sleep scores" and the value of specific, high-resolution measurements. Bhogal shares insights on Goodhart's Law, the importance of data storytelling, and why our brains are wired for narratives rather than raw numbers, making this essential listening for anyone using data to drive decision-making.


    Chapter Timestamps:

    0:00 - Sleep tracking critique

    2:12 - Introduction to Gurwinder Bhogal

    2:42 - The McNamara Fallacy explained

    7:00 - Measuring sentiment in wartime

    11:00 - Modern sentiment analysis evolution

    14:00 - Stated vs revealed preferences

    17:00 - Goodhart's Law discussion

    18:00 - The Cobra Effect story

    20:00 - Social media metrics gaming

    23:00 - Twitter's influence paradox

    28:00 - Health tracking compound metrics

    31:00 - Exercise without metrics

    33:00 - Identifiable victim effect

    35:00 - Stories vs data retention


    40 min
  • "Someone's watching over you" - And We're COMFORTABLE With It (Here's Why)

    The episode of Transformed With Data, Graeme Crawford sits down with Sukhi Sahni, a senior corporate executive with 20 years of experience in data-driven storytelling and brand communication. They explore how the battle for attention has shifted beyond simple views to meaningful engagement metrics, discussing how authentic human connection combined with strategic data insights drives real business outcomes in today's fragmented digital landscape. The conversation covers the evolution of marketing metrics, the impact of AI on content creation and customer journeys, and why data should be directional rather than definitive in making multi-million dollar decisions.

    Chapter Timestamps:

    0:00 - Meeting Customers Where They Are

    3:15 - Views vs Engagement Metrics

    7:00 - Multi-Touch Attribution Challenges

    11:00 - Customer Journey Mapping

    14:00 - The Creepy Line

    17:00 - Domain Authority and AI

    21:00 - Testing at Scale

    24:00 - Entry-Level Jobs and AI

    28:00 - Authenticity in Content

    32:00 - Speed to Market

    35:00 - Future of Print Media

    39:00 - Local Journalism's Role

    42:00 - Immigrant Perspectives

    46:00 - Cultural Context in Marketing

    49:00 - Closing Thoughts

    50 min

About Private Equity Data Guy

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Private equity meets data. Conversations with deal teams, operating partners, and portfolio company leaders about the data problems that kill deals, slow exits, and destroy value.