Data compliance has always been an important subject, however, there have been several key events that have paved the way toward where we are today. We are now seeing regulators proactively examining firms’ policies and procedures with more intent. Data sources considered higher risk than others are now found in the regulatory and media spotlight, and varying regional regulations are impacting the funds’ global strategies. This report sets out to review seven of the most prominent compliance callouts for alternative data users and what each theme means for their organization. This list has been curated and agreed upon by our legal partners and various clients over the past quarter and provides further tailored insights into what these global data compliance developments mean for the wider alternative data community.

Buyside funds and data vendors with varying levels of alternative data experience completed detailed surveys over a one-month period in late 2022. This report highlights the key takeaways from these surveys across data discovery, trialing, productization, conversions & renewals, challenges, and ROI.

This January System2 participated in (and won) the Eagle Alpha Next Level Hackathon, blending quantitative data from six different alternative (and traditional) data vendors to evaluate potential gains from using alternative data for systematic investing. Quant strategies are a departure from our regular work of answering questions about company fundamentals, but part of doing data science on demand is being flexible, so here’s what we did.

Our Much Anticipated Annual Alternative Data Report: A Year in Review for 2022 is Here! Eagle Alpha’s most in-demand and in-depth industry report features a look at the year in alternative data growth, trends, marketplace, and both buyer and vendor needs. We then take a 360 look at these with our dynamic advancements in tech and products including our platform, improved taxonomy, data connectivity and compliance features which address and rise up to these industry levels.

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 michael.finnegan@eaglealpha.com.

Investors need to be very careful about how they interpret self-reported ESG data. ​Not all ESG controversies are the same​An “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!

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.