Why data is a pain point when it comes to PE exits

Anush Newman, CEO and co-founder of JMAN Group, explains why investors have higher expectations of data

Contributor

Anush Newman

CEO & Co-Founder, JMAN Group

The path to a successful exit is increasingly paved with high-quality data – according to The Private Equity Exit Readiness Study by EY, highlighted in a recent Pitchbook article. Data now plays a critical role in meeting heightened buyer due diligence standards and securing favorable outcomes.

The article, featuring insights from industry leaders including Anush Newman, CEO and co-founder of JMAN Group, unpicks the reasons behind data-related hurdles and offers strategic guidance for private equity firms. Newman emphasizes that investors’ expectations for data have never been higher, as has become essential fuel for both business growth and the equity story.

Key Learning Outcomes:

  • Why a robust, standardized dataset is the biggest challenge and most crucial factor for efficient PE exits.
  • Why firms must evolve their perception of data, integrating it into value creation strategies rather than solely as an IT function.
  • The importance of preparing your data early, aligning it with your “equity story” and engaging your management team in the process.

If you are ready to transform your PE exit strategy, click through to read the full Pitchbook article and gain deeper insights into leveraging data for success.

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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
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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.
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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?