Discretionary hedge funds that are advanced users typically encounter the challenges below:

  • The biggest obstacle is bridging the gap between the data world and the investor world >> Teach-in
  • Our training programme for new joiners should incorporate alternative data >> Teach-in
  • Sometimes we don’t have the capacity in-house so would prefer to outsource some work to a partner  >> Bespoke Projects
  • We want to keep on top of best practice and not fall behind the curve >> Thought Leadership
  • Understanding the legal and compliance side of alternative data is critical for our firm >> Thought Leadership
  • We need a new source of alpha; traditional data and traditional research has become commoditsed >> Data Insights
  • Traditional sellside firms are not servicing us. We need relationships with analysts that have experience working with alternative datasets >> Data Insights
  • Traditional surveys weren’t great for Brexit or the US election. How can data on the web give insights into the Dutch and French elections? >> Analytical Tools
  • How can we analyze what millions of consumers think about Samsung’s upcoming product launch? >> Analytical Tools
  • We spend too much money on expert networks so we want to build our own database of experts >> Analytical Tools
  • We don’t have budget for a data procurement person(s) >> Data Sourcing
  • Detailed mapping of the alternative data market is a requirement for us  >> Data Sourcing
  • We need to know what datasets the market has access to  >> Data Sourcing
  • We need thoughtful teasers on alternative datasets in order to make our screening more efficient  >> Data Sourcing
  • Our biggest pain point is knowing which datasets to prioritise for trial  >> Data Sourcing
  • We can’t afford to miss out on the best datasets  >> Data Sourcing
  • It is easy to get lost in the sea of data. We need advice on what datasets are relevant to specific research questions  >> Data Sourcing