This report explores business insights as an alternative data source and how it can be used in investment analysis. We also examine leading vendors providing business insights.
This report explores open data as an alternative data source and how it can be used in investment analysis. We also examine leading vendors providing open data analytics.
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.
In this session, we explored alternative data to monitor market-moving events and were joined by Scripts Asia, EventVestor, ZIGRAM, and QMIT.
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.
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.
On October 25th, 2022, we were joined by Martin Smit, CEO of Caeli, Eric Anderson, CTO of SynMax, and Karena Vaughan, Sales Director at GHGSat.
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.
Anatoli Colicev, Chair of Marketing, Strategy, and Analytics at the University of Liverpool's Management School, SESAMm, and Brandwatch all joined this workshop to discuss recent trends in the social media space.
This report highlights the key considerations stakeholders must be aware of when considering alternative data sources to improve sustainable investing or ESG-focused initiatives.
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.
