On Thursday, December 17th, 2020 we held a workshop on store location data.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
In this month’s legal workshop, Ronan Crosson, Director, Data Strategy and Analytics, was joined by Peter Greene and Ben Kozinn of Lowenstein Sandler to discuss some of the landmark cases of 2020 and provide a preview of what we can expect in 2021 across the legal and compliance landscape.
On December 1st – 4th 2020, Eagle Alpha hosted its December Virtual Data Conference which was held over four half-days dedicated to industry-specific topics. Each half-day was dedicated to sectors including data vendors, asset managers, private equity, and corporates.
On Friday, December 11th, 2020 we held a strategy workshop with Jupiter Asset Management.
Edison Trends is a leading email receipt dataset sourcing data entirely from a proprietary Email application. Edison Trends delivers market intelligence, detailed and real-time data updated daily from more than 13,000 brands.
Expert Hub contributor Professor Ben Lourie co-authored a paper that was published in June 2020. The abstract from the paper is below and a copy of the full paper is attached.
Many alternative data sources that are applied to micro, or equity, use cases can be applied to gain insights into the macroeconomy. Commonly used alternative data like employment data and trade data can be utilized broadly for both categories.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
This case study deck outlines alternative datasets that can be used by macroeconomic investors and funds.
Every month, Eagle Alpha publishes a case study exploring the successful implementation of alternative data by a buyside fund. The information presented below comes from news articles and other public sources.
Expert Hub contributor Evan Schnidman published an article in IR Magazine discussing how the use of AI and NLP is not only not ubiquitous, but also not uniform across active investors.
