An NYC-based Hedge Fund Delivers a Better Data Experience to Drive Up Adoption
The solution delivers a self-serve experience where non-technical users can submit complex data sets without the intervention of IT.
The client provides investment strategies based on data science to end users’ data. Portfolio managers and trading groups have custom data set needs that require a flexible and usable self-serve platform for non-technical users.
The client wanted to create a self-serve platform through which end users could submit large data sets. These data sets would run against the client’s proprietary algorithms and recommend investment strategies. The challenge was creating an intuitive interface to drive adoption and deliver on self service.
The Ness team identified digital touchpoints that end users could use to interface with the client’s systems. The team developed a front-end interface based on user research and feedback, and end users could then submit custom data sets without needing any support.
Our solution increased the system adoption from 2% to 90%. The client delivered a full self-service solution that reduced customer queries.