In Episode 23, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Caroline Zimmerman, Director of Data Product & Strategy at Profusion, where they discuss the research study she helped to conduct into how private equity companies are leveraging Data & AI to fuel growth and enterprise value, which includes;
- The catalyst for conducting the research study
- Why private equity has a very specific definition of value and how to measure it
- Why PE has a lot to teach the corporate Data & Analytics landscape
- The major differences between PE-backed firms and the rest when it comes to D&A
- Focusing on enterprise value
- Why time horizons are important and can create urgency with long-term thinking
- The differences between PE Data Leaders and others
- Why PE does ‘BI’ but not in the traditional sense
- The power of growth modelling and the relationship with investment/capital allocation
- The role of Data & Digital in value creation teams
- The career opportunities for Data Leaders in PE
- The two key ways that PE firms are using Data & Analytics across their portfolio
- Obsessing over understanding your most valuable customers
- Culture is still the main challenge to overcome
- The differences between PE firms who specialise versus those with diversified portfolios
- Why data monetisation affects multiple and not just profit
- Why horizontal investments into data infrastructure don’t exist in PE
- Why the D&A community should care about this research
- Why it still should be all about making better decisions
- Roles, titles and remuneration benchmarks of Data Leaders within PE
- Where you can find/access the research study
A joint INSEAD research project by:
- Theodoros Evgeniou, INSEAD Business School
- Caroline Zimmerman, Profusion
- Olly Blaydon, Armstong International
- Shahbaz Alam, AWS
