Building Revenue Indicators for US Retailers using Google Data
The aim of this project was to build revenue indicators for US retailers using online search activity as a barometer of future company sales.
The aim of this project was to build revenue indicators for US retailers using online search activity as a barometer of future company sales.
On April 5th 2017, Eagle Alpha published a research note analyzing the launch of the Samsung Galaxy S8. We used Web Queries/Twitter, search data and online pricing to give a read on initial reaction to the product, and some early indication on likely success.
Google Trends is a public web facility based on Google Search that shows how often a particular search term is entered relative to the total search volume over time across various regions of the world.
The goal when working with e-commerce data is to build the most complete picture of the online performance of a specific company.
In the initial testing process of the predictive value of app data, we evaluated the relationship of the data with a company’s quarterly revenue.
The aim of this project was to build revenue indicators for US software companies using online search activity as a barometer of future company sales.
Eagle Alpha Web Queries is a query based tool that enables our research analysts and clients to search multiple web sources e.g. review sites, blogs, forums, videos and Facebook.
Credit card transactions, web scraping and document text analysis are all the “hot right now” trends for more traditional asset managers to dip their feet into the alternative data pool, and those are the ones I have found myself exploring in the last couple of years.
Eagle Alpha organized the first showcase events of consumer transaction datasets in NYC (March 23rd, 2017) and London (March 21st, 2017). Five alternative data companies pitched to 100 buyside firms in NYC and 40 in London.
In this series we want to bring some key Data and Software Engineering topics to our audience. A particular focus will be on cloud services which can be created and deployed just in time, meaning new teams can get off the ground quickly and use best practices.
Newsweek and International Business Times held an Artificial Intelligence and Data Science in Capital Markets conference in London on March 1-2, 2017.