Internal Data Distribution
How it Works
01 | CENTRALIZE
All trade & quote history, reference data, files, reports and all data that your firm has ever produced or purchased. Load all your history and updates from files/feeds into the platform.
02 | WRANGLE
Turn your data into usable, normalized formats. You can join histories where formats have evolved over time, combine different datasets together, and leverage your data in new ways.
03 | DERIVE
New datasets and offerings such as time-series, simple and complex derived data, from second/minute bars for charting to VWAPs and other benchmarks, and customized subsets.
04 | AUTHORIZE
Specific users or groups of users are able to see and access your data and offerings. Fully control your users' and staff's access to the data with entitlements.
05 | DISTRIBUTE
Distribute your data to entitled users in whatever way they prefer, such as SFTP download, download and query APIs, S3-to-S3 transfer, or through a web interface.
You need to centralize all the data accumulated by your firm over the years to provide more comprehensive analytics, strengthen client relationships and provide more features.
To use hundreds of sources of traditional and alternative data with your AI and ML applications you need a scalable platform to manage and render your content usable.
You need a robust, hugely scalable platform that will provide all the workflow and controls to leverage this data for current and future applications.