The UK government published a new Data Ethics Framework to set principles for how data should be used in the public sector.
The purpose of this meeting held on June 27th, 2018 was to kick off the project of developing a metadata schema for both data buyers and vendors.
On May 31st 2018, we organized our second Data Showcase event in NYC for asset managers and data vendors. Over 530 1-on-1s took place and our three buyside panels along with our expert panel provided excellent insights into the alternative data space.
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.
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.
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).
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.
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.
