Making Better Exit Deals with Data

Anush Newman, CEO at JMAN Group, explores the data strategy required to de-risk transactions and secure premium valuations in a cautious private equity market.

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Anush Newman

CEO and Co-Founder, JMAN Group

After two years of difficult market conditions, PE exit activity is recovering, but the era of selling based purely on headline growth is over. Today, data underpins every credible value story, yet according to a recent study by EY, 72% of respondents cited access to comprehensive data and KPIs as their biggest exit challenge. 

In a must-read article for Funds Europe, Anush Newman, CEO and Co-founder of JMAN Group, outlines the cultural and infrastructure shift required to treat data as a strategic management asset, proving the long-term viability that turns cautious buyers into confident investors. 

In this article, you will learn: 

  • Which granular metrics (such as CAC:LTV and support resolution times) are necessary to bring operational efficiency to life. 
  • How to prove sustainable growth potential through customer cohort performance and cost-to-serve ratios. 
  • Why building a robust data foundation is essential for integrating AI and securing a higher valuation post-acquisition. 

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Prep for Exit

Maximize valuation and de-risk transaction with robust, extensive and high-quality data
  • Does the target have the data assets required to drive value creation (including Al deployment)?
  • How do I get better data on my target and the wider market?

Value Creation

Accelerate value creation plan delivery using Data, Machine Learning & Gen Al
  • How do I use a data-driven approach to make my business more profitable?
  • How do I achieve as high a multiple as possible ?

Core Reporting

Track company performance and quantify value creation leavers with accurate real time data from automated systems
  • How can I get a real-time, detailed and consistent... view of my operational and financial metrics?
  • What is happening in our portfolio companies and across our fund?

Data Advisory

Balance short-term extraction of value from data with laying the right digital foundations.
  • How do I assess the maturity of my data foundations and value creation plan levers ?
  • How can I collaboratively create and deploy a roadmap of value-first initiatives that pay for future foundational investments?

Due Diligence

Understand target's market position and ability to execute their business plan
  • Does the target have the data assets required to drive value creation Including Al deployment ?
  • How do I get better data on my target and the wider market?