Head of Fund Solutions, EMEA and APAC
Our report on technology for PC funds finds data management is often a barrier to efficiency. Yet by harnessing innovation they can unlock new capabilities.
Effective data management is crucial for private capital (PC) funds. But as our major report ‘The Future of Fund Technology’ finds, more than one-third of them (35%) still haven’t got to grips with it, saying they have no data warehouse or big data capability.
Over the next few years data will become ever-more critical to gaining a competitive advantage. Enhanced data management solutions can provide actionable insights that can help managers deliver higher returns, gain operational efficiencies, better address compliance and regulatory matters and produce richer reporting for investors.
Those that aren’t yet doing enough with their data often do have plans to improve. In our survey of 300 senior-level decision-makers in private capital firms, 77% said that data analytics would be one of the two most important technologies for funds over the next five years.
The situation is certainly not beyond repair. There is a huge opportunity here and funds still have time to seize it.
It is a common belief that today’s PC funds have to deal with much more data than their predecessors, but it isn’t necessarily an accurate one. There has always been a lot of data to contend with in the sector; the real issue is that there is now greater awareness of the value of collecting and analysing it.
Previously, data was too scattered or its format too unstructured, making it hard to work with. PC funds have been collecting data for a long time, but funds technology innovation is now giving them the means to analyse it.
There are challenges for funds as they get to grips with data management. Among these are:
The most important capability for funds is actually the automation and analytics applied to the data.
Data analytics can help funds with:
Our research found that this ability to produce more detailed and targeted investor reporting is the main function for data analytics currently, with 51% of respondents overall citing this use. This is also the most time and resource-intensive task for PC funds.
Managers should aim not only to derive insights from the data they have, but also to seek pertinent data from portfolio companies and other external sources that can be analysed alongside internal data. Particular strategic areas, such as environmental, social and governance (ESG) compliance and reporting will require lot of third-party data
Efficiency is certain to increase. Data storage is becoming easier. Machine learning (ML) is deriving insights from unstructured data, making social media sentiment analysis, for example, just as achievable as combing through an accounts spreadsheet in the past. In time, blockchain technology will automate straightforward but important data management tasks.
Used properly, data management technology can speed up processes, free staff to work on other projects and unlock insights that were simply inaccessible to funds before. Surely they should make the most of the opportunity.
It is important to manage team expectations, getting members to buy into the new capabilities but also to understand its limits. Once the first project is up and running, funds can move on to the next and gradually extend their data capabilities.
Data management can feel like an overwhelming problem for many funds, particularly those that don’t have a lot of in-house technological expertise. However, it is becoming a vital capability and with the right partner any fund can add the data management tech that they need and realise the opportunities it brings.