This report reviews some of the latest updates with regards to the changes in data access for sites like Reddit and X (formerly known as Twitter), what data providers are saying based on recent meetings with us, and recap the key data providers for these sites in an easy-to-compare matrix.
The tech sector's recovery in 2023, marked by renewed interest in AI and advancements in various tech trends, illustrates its resilience and adaptability. As tech companies navigate through these trends, data-driven insights are invaluable in understanding the ever-changing dynamics of the market.
In this article, we document a timeline of mergers and acquisitions in the alternative data industry over the years and present exclusive commentary from industry leaders.
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.
Edition 2 of this web scraped data paper considers rapidly developing changes across the alternative data landscape in the later part of 2021 and the first half of 2022.
On May 26th, 2022, at 10 am EST, we were joined by Saeed Amen, Co-Founder of TurnLeaf Analytics, Christopher Kantos, Managing Director of Alexandria Technology, and Howard Rees, Chief Commercial Officer of MacroBond Financial.
On Thursday, April 15th, 2021 we held a workshop deep-dive following the success of our February Hackathon event in February where teams of data hackers competed against each other using a mix of datasets provided by Eagle Alpha data partners.
This case study deck outlines alternative datasets that can be used by investors to monitor the technology hardware and equipment markets.
In this paper Jianming Sun, Data Sourcing & Partnerships for Eagle Alpha outlines the most popular datasets for China. The datasets that are explored are listed below.
Many alternative datasets can be applied to the credit markets as they would be applied to the equity market. For example:
The US election is rapidly approaching. There are common datasets that can be applied to the topic with the most cited being polling data and betting odds data
