Mutual funds that are starting out typically encounter the challenges below:

  • We will fall behind if we don’t innovate our research process >> Teach-in
  • We don’t have a good understanding of what alternative data is >> Teach-in
  • Our colleagues need convincing that we should be using alternative data >> Teach-in
  • We need to see a ROI on a simple project before we commit significant capital to alternative data  >> Bespoke Projects
  • Our firm does not have the skills in-house to work with alternative datasets. We need a partner  >> Bespoke Projects
  • Determining how to get value from alternative data is our #1 challenge >> Thought Leadership
  • 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
  • Some of our competitors have been working with alternative data for years. We need to quickly learn how different types of alternative data can be leveraged >> 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
  • We need to know what are all the alternative datasets available worldwide  >> 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
  • 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