Private equity analytics is sold as dashboards and data platforms, and for the portfolio lead at a small fund it comes down to a handful of ratios worked over the fund's own holdings: gross, realised and unrealised multiples on cost, how much of the value is still on paper, how concentrated the book is, and how much of the cost is marked below it. Analytics in private equity at the larger firms adds data pipelines from the portfolio companies and benchmarks bought from data vendors; analytics private equity teams at a small fund need is the ratios, worked the same way every quarter from the record. This page is the ratios, what private equity data analytics, data analytics private equity and data analytics in private equity add on top, and what this hub does and does not do about it.
The ratios, on the worked example
$30,000,000 realised on $12,000,000 of cost is 2.5x; $66,000,000 of marks on $42,000,000 of cost is 1.57x; together, 1.78x gross on $54,000,000. $66,000,000 of $96,000,000 is 68.75% unrealised; a $12,000,000 largest position is 18.2% of the unrealised value; $6,000,000 of cost marked at $2,400,000 is an 11.1% loss ratio and $3,600,000 lost. Eight figures from eight inputs, on the private equity portfolio analytics worksheet, free, with no benchmark published.
What data analytics in private equity adds
Two things: the pipeline that collects each portfolio company's KPIs in one shape without a person retyping them, and the benchmarks that say whether 50% growth is good for a company of that size in that sector. The first is a data-collection portal and the second is a data vendor's product, and both are suite features. This hub keeps the KPIs once entered and works the ratios; it runs no portal and buys no benchmark.
The analytics the partners' meeting actually asks for
Which positions carry the fund, which are marked below cost, how much of the multiple is cash, and how concentrated the book is. Those are the loss ratio, the realised and unrealised split and the concentration figure, and they are worked from the record in the paid plan rather than rebuilt in a spreadsheet the night before. The position-level version is the portfolio monitoring worksheet; the company's quarter is the review sheet.
What the analytics do not decide
Whether a mark is right, whether a holding should be sold, and what the fund's LPs are told. The mark is the fund's valuation policy and its auditor's; the sale is the partners' decision; and the reported multiples, TVPI and DPI on paid-in capital, are the relationship venture's subject at rapportvo.com. The analytics on this hub are the holdings' arithmetic, on the fund's own inputs, published against no benchmark.
Questions people ask about private equity analytics
What is private equity analytics, for a small fund?
The ratios over the fund's own holdings: gross, realised and unrealised multiples on cost, the unrealised share of value, concentration in the largest position and the loss ratio. The free analytics worksheet works all of them from eight inputs.
Do I need a data analytics platform?
Not for the ratios. A platform adds the KPI pipeline from the companies and bought benchmarks; a small fund's portfolio lead needs the ratios worked the same way each quarter from the record, which is what the paid plan keeps.
Does the analytics worksheet value the holdings?
No. Every mark is the fund's own input; the worksheet works the ratios between cost, proceeds and marks and publishes no valuation method and no benchmark multiple.