Empowering quants to trade faster: From Excel files to data packages
It doesn't matter how much data organizations collect; all that matters is how much data they can leverage. Aneesh Karve explores how a Fortune 500 bank leverages data packages to minimize data prep and maximize time spent on analysisusing a technique called source code-inspired data management.
| Talk Title | Empowering quants to trade faster: From Excel files to data packages |
| Speakers | Aneesh Karve (Quilt) |
| Conference | Strata Data Conference |
| Conf Tag | Make Data Work |
| Location | New York, New York |
| Date | September 26-28, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
It doesn’t matter how much data organizations collect; all that matters is how much data they can leverage. Unfortunately, 80% of the average data analyst’s time is spent on data prep, leaving precious little time for analysis. Aneesh Karve explores how a Fortune 500 bank leverages data packages to minimize data prep and maximize time spent on analysis—using a technique called source code-inspired data management. Aneesh illustrates how complex, error-prone workflows based on files can be reduced to a singe line of code that works on a variety of platforms. As a result, quants can quickly get up and running with the latest data and can focus their time on modeling and trading.
