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.
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).
This dataset is generated by the XYME framework using a machine learning model ensemble containing more than 200,000 models (approximately 500 models for each ticker).
This data can provide insight into sales and sales by square foot estimates (including traffic by individual location), separate store and parking lot traffic, dwell times, and allows for forecasting.
The company develops geospatial data analytics to help its clients unlock societal and economic trends at a global scale.
Using web crawled and online search data, Eagle Alpha correctly predicted the GoPro results.
