On April 5th 2018, Eagle Alpha organized a webinar regarding ESG and alternative data. Eagle Alpha’s Director of Business Development, Niall Hurley, delivered the opening presentation which was followed by presentations from three different ESG data vendors and one dedicated ESG fund manager.
Using online search data, Eagle Alpha's Data Analytics team correctly predicted Williams Sonoma results.
Using web crawled and online search data, Eagle Alpha correctly predicted the HPQ results.
Geo-location data was used to anticipate disappointing sales at RadioShack stores.
We arranged this interview with a provider of crawled data. The vendor provides Data-as-a-Service on a bespoke basis giving clients access to open-source intelligence.
The purpose of this report is to provide asset managers with examples of how alternative data can be used. This report is the fourth in a series of reports published by Eagle Alpha.
The attached paper was prepared by the members of the Federal Reserve Board with the use of high-frequency private payroll microdata.
We arranged this interview with a provider of mobile & technology data. The vendor tracks more than 3,000 models and 500 brands in 40 countries.
Testing showed that firms with lower employee turnover systematically outperformed those with higher turnover rates.
Alternative data is non-traditional data that can be used in the investment process. According to our most sophisticated clients, there are already 1,200 alternative datasets available. We split the datasets into 24 categories.
On December 5th 2017, Eagle Alpha’s Data Insights team published a report titled “Finish Line: Search Indicator Implies Improving Sales Metrics.” Our Search Signal indicator, based on Google search data, was pointing to a potential recovery in same store sales for the company.
A relationship was identified between copper prices and estimates of copper inventories using satellite imagery data.
