What We Do
Eagle Alpha provides solutions to both data vendors and data buyers. Established in 2012, Eagle Alpha is the pioneer connecting the universe of alternative data. We are the leading alternative data aggregation platform with supporting advisory services for vendors and buyers.
Upcoming Events & Key Content
Join Us For A Webinar With Our New Collaborators And Special Keynote By McKinsey! What is the aim of the Collaborator’s Quadrant? The Collaborator’s Quadrant sets out to present the services offered by Eagle Alpha Collaborators, to a common target market, and how...
In this report we summarize the major developments in the alternative data industry in 2020 based on Eagle Alpha’s proprietary data and insights. Many of these trends and themes will have relevance into 2021 and beyond.
This white paper is the second edition in a series following the publication of Edition 1 in July 2019.
In January 2020 Eagle Alpha hosted its largest ever conference in New York with 800 attendees across buyside, private equity, corporates and data vendors. The corporate breakout session explored corporate use cases for external data. Within this paper we build on these discussions and present relevant use cases and key insights for corporates looking to become more data- driven in their decision-making.
Eagle Alpha has been fielding inquiries from clients for many years on alternative datasets that either originate in China or can address investment use cases in China. In general, the queries are broad macro use cases to track the Chinese economy or datasets that can be used to monitor consumer spending trends. Within consumer spending the majority of investors have looked for information on western brands that have a large exposure to the region or have China as a significant part of their quarterly revenue growth. We have pulled together content across data strategy related to these themes but also address other datasets that investors are interested in. Any discussion on alt data involves complex legal issues and when it comes to China the issues can be particularly tricky. We will highlight relevant content on the subject.
To evaluate all the components of the S-Pillar, the paper will review social data vendors in 3 parts: Part I: Social Capital, Part 2: Human Capital and Part 3: AI & NLP for Social Analysis. There is no one vendor that covers all categories of social data in detail. This report aims to help readers identify and understand which vendors can cover each of the social categories, what regions they cover, the granularity of the datasets and other key metrics of these data vendors’ datasets. With the introduction of new sustainable finance disclosure regulations and taxonomies from the UN and across the EU, North America, and Asia, it is more important now than ever to understand ESG data and where investors can source reliable ESG data.
Mandatory and non-mandatory ESG reporting obligations vary massively by region. Researchers have highlighted 1750 sustainability reporting provisions across 60 countries worldwide. And these reporting regulations are in constant flux. Just this year both the EU and the SEC in the US have signalled their intention to tighten non-financial disclosure requirements, though we are some way off a single harmonized global system. The shifting and inconsistent requirements have increased the importance of alternative datasets from independent third parties when assessing the ESG credentials of an investment.
This paper is the result of a collaboration between Eagle Alpha, OttoQuant, and seven data providers brought together for Eagle Alpha’s Data Hackathon in May 2021. Eagle Alpha’s Data Hackathon was created to demonstrate how multiple datasets can be blended by investors, as opposed to looking at a dataset in a vacuum.
Once a quarter, Eagle Alpha's director of data strategy and analytics, Ronan Crosson, is joined by Peter Greene and Ben Kozinn from New York law firm, Lowenstein Sandler. These conversations are part of Eagle Alpha's client-only monthly legal workshops. In this...
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