External data, commonly known as alternative data, is any data generated from outside an organization, with examples including employment data, geolocation data, social media data, and consumer transaction data. The data is derived from two main sources (i) data companies that are set up to monetize data and (ii) companies that have “exhaust” data to monetize. The data revolution is being driven by developments in cloud computing, advances in data science, and rapid data creation.The goal of this report is to showcase the art of what is possible with external data through the lens of consultants working with corporate and private equity to implement data-driven decision-making. This report leans heavily on contributions from leaders in the consultancy space including EY, Bain & Company, West Monroe, Strategy Titan, and Asgard Data. For further information on the information contained in this report, please reach out to firstname.lastname@example.org.
Investors need to be very careful about how they interpret self-reported ESG data. Not all ESG controversies are the sameAn “outside-in” approach provides a more balanced perspective. Alternative data is particularly valuable at plugging data gaps in the social factor. A data-driven ESG approach can enable more informed engagement with companies. Alternative data can help plug gaps in regulatory reporting requirements.
Coming December 9th! Our 1st Annual Alternative Data Report: 2021 Year In Review. We are delighted to announce that we will be publishing our first annual Alternative Data Report which will provide an overview on What we have seen in 2021, Updates on 2021 predictions, Hot topics (ESG, Legal and Compliance, Inflation, China, App Annie), Data Strategy report summaries, Tech updates, Predictions for 2022.
Available to all readers. Pre-order your copy today!
Private Equity Historically
Historically, the PE industry has been dominated by institutions relying – often successfully – on local knowledge, personal networks and a big dose of intuition to spot opportunities and predict future trends. PE firms used to track and analyse investment targets and portfolio companies through Excel spreadsheets, static investment memos and CRM databases.
This report addresses the topic of ticker mapping as it relates to the alternative data marketplace. The reports objective is to inform both buyers and sellers of alternative data of the complexities and solutions of ticker mapping. Broadly speaking ticker mapping involves the application of identifiers, symbology or tickers to companies, or entities, in a dataset.
Alternative data is an asset class of information that has come into being off the back of the broader data explosion. Traditional financial data relies on information from company filings, investor presentations, media coverage, historical market prices, etc, which are now commoditized and easily accessible on financial databases. Alternative data can come from a plethora of sources, including satellite imagery, GPS tracking, transactional data, sentiment analysis of social media and news feed, etc.
This report is the third in a series of reports published by Eagle Alpha on the use of alternative data to track the impact of the Coronavirus. The purpose of this report is to provide buyside funds, private equity firms, corporates, government agencies and central banks with examples of how alternative data can be leveraged for timely insights.
In this day and age, data is often referred to as the oil that fuels the investment machine. Some go as far as tagging the search for alternative data as the new oil rush. In this article, we attempt to examine the growth and trends in alternative data, whilst also presenting various challenges and insights into how investment managers can adopt it to unlock its value. In summary: what is the ‘data on data’?
The purpose of this report is to provide buyside firms with examples of how data can be leveraged. This report is the seventh in a series of reports published by Eagle Alpha. The primary additions since Edition 6, published in November 2018, and this edition are:
is now mainstream.
case studies added (Section 4).