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What next for the role of data analytics in private markets?

What trends are emerging in the field of data analytics? What are the various ways that managers are actively using analytical tools, as part of their day-to-day  fund management activities? And what are the some of the best practices GPs need to consider, as they look to introduce more analytical firepower into their respective firms? These questions, and more will be discussed in an upcoming webinar in collaboration with AssetMetrix on 30 June.

The ability to access and analyse more and more data sets is quickly becoming a key differentiator in how investors view the front-office sophistication of private market participants. Whether it is in the private debt or private equity realm, investment partners are relying on better analytic tools to help them assess the viability of investment opportunities, and better identify pre-investment risks as part of their due diligence programme. 

But what trends are emerging in the field of data analytics? What are the various ways that managers are actively using analytical tools, as part of their day-to-day  fund management activities? And what are the some of the best practices GPs need to consider, as they look to introduce more analytical firepower into their respective firms?
 
These questions, and more will be discussed in an upcoming webinar in collaboration with AssetMetrix on 30 June.
 
During the webinar, we will seek to address:

  • How is the appetite for analytical tools developing?
  • What are some of the key trends and where are they being applied within fund management firms ie front-office relative to middle- and back-office?
  • How is analytics improving/enhancing the way managers handle fund data? Is there a further push that is still needed in terms of manager adoption?
  • How might firms better improve and automate their approach to using analytics in the middle and back-office ie to improve reporting?
  • What are some of the best practices to consider to improve one’s middle-office capabilities, from an analytics perspective?
  • How should managers think about the pros and cons of developing in-house capabilities versus outsourcing?
  • Real life examples of analytics in action
  • In respect to interactivity, what is possible already? And what can we expect in the coming years?

Click here to register.

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