Managing Eagle Alpha's premium alternative data research and strategy offering and delivering tailored advisory, sourcing, and strategic assistance to investment management clients.
This data can provide an insight into long-term trends, as well as the most recent trading performance, and is based on metrics such as average selling price (ASP) and share of “bestselling” products in a category, as ranked by the website provider.
The article notes that these investors will leverage alternative data in ways that are materially different than how money managers, whether buy & hold strategies or long/short strategies, are leveraging alternative data.
Eagle Alpha correctly predicted TJX results using consumer transaction and online search data.
On May 30th 2018, we organized our first in-person Data Forum conference for buyside firms to discuss important alternative data topics with peers.
With these insights, analysts can benchmark performance against competitors, reveal competitors' online strategies, discover new opportunities, identify emerging trends and understand consumer intent and journey.
The growth of technology-influenced investing that utilizes algorithms and other quantitative methods has led to a mismatch between the skills of traditional investors and the tasks they are now required to carry out.
On May 15th, 2018, Eagle Alpha organized an online meeting attended by twenty-one asset management firms to discuss the topic of testing alternative datasets for quality.
The vendor tracks every company operating in the U.S. and their locations, accounting for over 95% of U.S. employment.
On May 9th 2018, Eagle Alpha organized a webinar regarding alternative data and macro investing.
The purpose of this report (attached) is to provide data owners with advice on how to sell their data to asset managers. This report is the first in a series of reports published by Eagle Alpha.
This company delivers data and analytics based on purchase behaviour from a panel of 2.5 million+ US shoppers.
Investment Data Standards Organization (IDSO), a non-profit industry-driven organization, released a document outlining best practices when dealing with datasets that include personally identifiable information (PII).
