This report aims to educate asset managers and provide some clear and relevant use cases supplied by event data providers hosted on our data discovery platform.
Buyside funds and data vendors with varying levels of alternative data experience completed detailed surveys over a one-month period in late 2022. Below are the key takeaways from these surveys. Also attached is a link to the full report.
In 2022, we published over 120 pieces of content and hosted more than 30 workshops. In this paper, we highlight the best-attended workshops, our content that saw the most engagement, and an editor’s pick of pertinent content that should remain front of mind as we enter into the new year.
In Edition 2 we highlight China's Global Data Security Initiative, and regulatory updates over the past 12 months with specific commentary around data security assessments, municipal regulations, and the government crackdown on app data vendors.
This paper is the second edition of the social data report first published in 2021, covering data for ESG investing. For access to our first edition four-part series or the second edition of our environmental data report, please contact datastrategy@eaglealpha.com.
This report wraps up our London ‘22 Alternative Data conferences and the noteworthy presentations throughout the event.
In this deck, we explore firmographic and reference data providers that asset managers can use to evaluate supply chains across various industries. This data is valuable when understanding the connections and interdependencies between companies.
This report explores satellite imagery data as an alternative data source, highlighting market trends, demand drivers, and investment use cases. We also examine leading vendors providing satellite imagery analytics.
Asset managers use social media data for competitive analysis, to track conversations around brands and engagement, to understand consumer trends, and to analyze broader industry and sector shifts.
This report highlights the key considerations stakeholders must be aware of when considering alternative data sources to improve sustainable investing or ESG-focused initiatives.
This paper pulls together publicly available data along with insights from vendor interviews and Eagle Alpha’s proprietary articles and webinars.
Natural language processing (NLP) is the branch of computer science concerned with building programs that can process and understand human language. NLP combines computational linguistics with statistical, machine learning, and deep learning models.
