Do you spend time 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? Do you have the need for a local sandbox to play with your financial data?
Our Data Access & Manipulation Layer allows financial modelers to manipulate large datasets in their native analytical language of choice including Matlab, SAS, R, and Python.
Can you automatically re-compute your derived data when underlying data is changed? Do you know the version of the data used to compute an alpha score that you traded on? Are you able to capitalize on the smart data and code others have written within your organization?
Our Derived Data Manager allows you to re-use computations, scores, or items across all major analytical packages. Our solution will track your derived data into a searchable library of data items along with providing detailed statistics and the data lineage of each item.
of time spent by analysts is dealing with low-level data mechanics rather than predictive modeling.
We help analysts in finance who develop predictive models get easier and faster access to their data