Data intelligence for Private Equity

Five factors that can influence a successful deal

Many companies we deal with recognise that data analytics has huge potential in their business, but don’t always see a direct route to adding value. Of course, the data analysis can provide information, but what’s really valuable are the insights generated from it. This is why we refer to as it ‘data intelligence’. Here are the some of the common uses of data intelligence tools from which Private Equity funds can benefit:

  • Establishing the Total Addressable Market (TAM) for target acquisitions
  • Target market insights
  • CRM management, monitoring deal flows
  • Data visualisation and accessibility
  • Portfolio analysis and management
A winning formula

Portfolio management is a key area for development in the world of data intelligence. Platforms are available for monthly BI reports, alongside biannual ‘deep dive’ valuation exercises. All the data is fed into a data warehouse, and each company in the portfolio is analysed using financial modelling and operational metrics in order to test the investment case.

Many firms have created data warehouses as a necessary reservoir of accessible data.

One important goal is to be able to use data to identify investment opportunities directly, without having to wait for introductions from intermediaries. Good data intelligence will be critical to the perfect state sought by all Private Equity firms: to meet the best companies, at the right time, before anyone else.

If you have found this blog post useful you may like to read our related articles below, or take a look at the Alternative Investment page to find out more about the work TiG Data Intelligence does in this specialist sector.

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