One commonality among all research management systems in the market today is the type of data sources they make available to their users. It revolves mostly around market data, company financial numbers, published news, quarterly transcripts, and other regulatory and management disclosures. But, if you are a macro fund or a long-short fund specializing in a particular sector like biotech or credit, the above list of different data types is very limiting. Therefore, most of these funds either use RMS(Research Management System)  tools as note-taking and collaboration software or they turn to create a separate data ecosystem with little to no integration with RMS. In some cases, they might even end up creating their own proprietary RMS tools in-house. The first approach is more costly and does not help in integrating the research data, which is spread all around a fund.

Every investment strategy is unique and needs its own set of data sources. For example, macro funds require data sets ranging from country economic data and central banks periodic monetary policies to clinical trial phase data. Given that all of these data sets have their own intricacies and complex requirements, a generic RMS tool can never truly work.

When seeking ways to navigate the information deluge, it is essential to work with a partner that possesses the required knowledge and experience to wade through all the complexities associated with unique and complex data sources.