Empowering quants to trade faster: From Excel files to data packages
![Empowering quants to trade faster: From Excel files to data packages](/2017/images/all/oreilly_hud65600b59d1e38fc68bc705db1cca132_23814_900x500_fit_q75_box.jpg)
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.