Everysk’s data repository is equipped with powerful tools to help investors query, filter, run analytics, and explore data over time. The data exploration automation workflow is a user-friendly tool to do all this and more with no coding or SQL required.
Portfolio managers have a wealth of data that often goes underutilized. This can be for a host of reasons whether it’s because data is scattered across hundreds of different spreadsheets, only available as point-in-time snapshots, too cumbersome to extract out of pivot tables, or gated behind complex systems that require technical knowledge to query and access.
Everysk’s data exploration robot makes it straightforward to set up any sort of filter, aggregation, derived analytic, or time series that a portfolio or risk manager requires. The tool supports custom numerical calculations through a flexible expression engine and has a menu of time series-related functions for calculating properties such as cumulative sums and trailing z-scores.