Do you spend time trying to fix security identifier time series breaks? Is it difficult to match data across data vendors? If you have a security master, is it designed for the back office?
Our Entity Manager solution stitches together security identifiers through time and across data vendors, allowing you to focus on analyzing the data in a backtest, simulation, optimization, attribution, or report.
Are you writing complex logic to retrieve data as an input into your analytical tool? Do you need to join data on the fly across data sources? Would it help to have a local sandbox to play with your financial data?
Our Data Access & Manipulation layer enables financial modelers to manipulate large datasets in their choice of native analytical languages, including Matlab, SAS, R, and Python.
Can you automatically recompute your derived data when underlying data is changed? Do you know the version of the data used to compute an alpha score on which you already traded? Are you able to capitalize on the smart data and code that others within your organization have written?
Our Derived Data Manager lets you reuse computations, scores, or items across all major analytical packages. Our solution will track your derived data into a searchable library of data items, as well as provide detailed statistics and the data lineage of each item.
of an analyst's time is spent dealing with low-level data mechanics rather than on predictive modeling.
We help financial firms simplify and accelerate the research process by automating the once tedious task of data preparation