On 14th September 2021, the Securities and Exchange Commission (SEC) brought a securities fraud ruling against leading mobile app data provider App Annie and its co-founder and former CEO and Chairman Bertrand Schmitt. The SEC found that at this time the company was “engaging in deceptive practices and making material misrepresentations about how App Annie’s alternative data was derived” that violated anti-fraud provisions of Section 10(b) of the Exchange Act and Rule 10b-5 thereunder.
In the ESG landscape, some of the pain points for asset managers, are a lack of comparable, high-quality, high-frequency raw data, a lack of standardized definitions of sustainable activities, conflicting ESG taxonomies, and divergence in scoring methodologies across traditional ESG data vendors. This conundrum remains despite a proliferation of ESG data vendors since current ESG scoring methodologies are limited
by voluntary and sparse non-financial input data and must be supplemented by alternative datasets such as events data, real-time data, satellite imagery data, traditional and social media data, all of which capture material issues and events not reflected in a company’s financial and regulatory filings. Extracting, evaluating, and standardizing these alternative datasets require significant manual effort, creating strong incentives for the use of machine learning (ML), artificial intelligence (AI), and natural language processing (NLP) techniques.
With an increasing number of internet users moving away from traditional internet channels like desktop computers and towards mobile-only use, app usage data can offer hugely valuable insights into consumer behaviour and company performance through a variety of key performance metrics.
We Are Excited To Present Our Fourth Data Hackathon At Our October Conference – Live in NY – October 12, 2021! We are pleased to announce our signature event will be coming back for a fourth iteration live in NY on October 12th, 2021. Judges are back, and alpha testers are lining up as the team captains to head into EA’s Data Hackathon 4, which will be focused on inflation. The competition is an event formatted to allow data vendors and alpha testers to present a blended data solution to buyer challenges. This challenge is presented as a theme that teams are tasked to evaluate and present an analysis based on their blended data sets.
Alternative Data for PE – Post Acquisition Value Creation Tuesday, August 24, 2021, 10:00 am Time zone: EDT Description: This webcast focuses on how alternative data can help private equity firms with post-acquisition value creation. Expert speakers from data...
As a leader in the alternative data space, we make it a priority to stay up to date with legal and compliance issues across the alternative data landscape. A recent ‘Spotlight’ paper we published called Data Privacy and Alternative Data focuses on the data privacy movement and how it has developed over the past several years. In this paper we discuss the restriction around data collection and distribution being implemented both at a state and regional level as well as a company level where “Gatekeepers” are proving to be more influential than ever. This blog provides a run-down of several of the most noteworthy pieces of legal and compliance mentions from the paper.
In the first article in our alternative data series, we discussed how private equity firms are behind public equity firms when it comes to the adoption of alternative data, and we proposed some practical steps for private equity funds looking to build a strategy for...
Over the course of a three-week period in May this year 24 buyside funds with varying levels of alternative data experience completed detailed surveys on their use of alternative data. This provided Eagle Alpha with one of the richest datasets ever collected on how...
For many PE funds, there are strong push factors driving the move to alternative data. Historically low-interest rates are pushing more investors to consider PE as a viable investment, but how does a PE firm stand out? To stand out you need to show that your data and technology approach can generate superior returns. Firms need to do something differentiated.
We have seen unprecedented growth in client interest and use of Geo-location data since the beginning of 2020, to the extent that it is now one of the most popular alternative data categories for our clients. This has not always been the case. Traditionally consumer transaction and web crawled data claimed that mantel. We are seeing elevated interest in the category from our traditional customer base in the hedge fund and asset manager industries, but also private equity funds, corporate, central banks, and government agencies. This unprecedented growth in interest has unquestionably been driven by the COVID-19 pandemic.