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

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