1Dataset of the week: Credit and debit card transaction data.

2. Dataset advisory: Examples of typical questions we get asked.

3. Case study of the week: Eagle Alpha predicted PayPal’s strong Q2 with the use of email receipt data.

4. Events: Detailed synopsis of our two events this week (recruitment, legal) will be available to clients of our Thought Leadership package. 

5. Vendor access: Eagle Alpha is working on a major data showcase event to be held in New York.

6. Did you know? Using App data we found that iOS data correlates better with company revenues compared to Android data.

7. Articles of the week: 1) WorldQuant: Discovering the hidden world of alternative data; 2) DataSift and LinkedIn: A new angle for social media analytics; 3) The science of artificial intelligence and alternative data isn’t fiction anymore.

8. Update on Eagle Alpha’s solution.

 

1. Dataset of the week: Credit and debit card transaction data.

Vendor Overview: This provider delivers aggregated and anonymized analysis of consumer trends and forecasts. Updated weekly, monthly, quarterly and yearly. Their services leverage the data derived from the analysis of over 160 million transactions per hour from 2.5 billion cards worldwide.

Dataset Overview:

  • History: Since 2004.
  • Geography: Macro – U.S., Japan, Canada, Brazil, U.K., Hong Kong; Sector Level – U.S.
  • Delivery: API or CSV.

The rest of this dataset profile is available to clients of our Data Sourcing package.

Our database has 484 providers and can be delivered via a feed. Contact us for more information –enquiries@eaglealpha.com

2. Dataset advisory: Examples of typical questions we get asked.

  • Based on your 5 years experience what datasets must we prioritise for demos/trials?
  • Which alternative datasets have 3 years of history and are mapped to 100+ tickers?
  • Can you provide a comparison of the 5 email receipt datasets?
  • We want to identify consumer transaction datasets in India – can you please do some digging for us?

3. Case study of the week: Eagle Alpha predicted PayPal’s strong Q2 with the use of email receipt data.

On July 13th 2017, Eagle Alpha published a research note analyzing PayPal’s Q2 using email receipt data. Eagle Alpha’s PayPal predictive model suggested better Q2 revenue than consensus estimates. Our PayPal model has a mean absolute percentage error (MAPE) of 1.6% and the standard deviation of our error is 2.0%.

In our recent report, we concluded: “Using email receipt data, Eagle Alpha’s predictive model for PayPal is pointing to a stronger than consensus quarter for revenue in the June quarter. The current Bloomberg estimates for PayPal is $3,093m.”

On July 26th 2017, PayPal reported better-than-expected results and raised revenue estimates for the full fiscal year. The company reported revenue of $3.14B.

To obtain a copy of our full research report or obtain a teaser of the email receipt dataset please email enquiries@eaglealpha.com.

4. Events

  • Detailed synopsis of our two events this week (recruitment, legal) will be available to clients of our Thought Leadership package.
  • September 2017, London – Building and integrating teams.
  • October 2017, New York – Web crawling legal considerations.
  • October 2017, Paris – Half day seminar regarding alternative data.


5. Vendor Access

  • Pilot fishing: We are starting a process to obtain feedback from clients regarding a new geo-location dataset. Please reach out if you’d like to partake in this process.
  • Events: Eagle Alpha is working on a major data showcase event to be held in New York. More to follow in the coming weeks.


6. Did you know?

In the initial testing process of the predictive value of app data, we evaluated the relationship of the data with a company’s quarterly revenue. The specific app data tested included the number of daily active users, monthly active users, and total downloads. Companies tested included Dominos, Expedia, Fitbit, GrubHub, Netflix, Starbucks, Ticketmaster, Weight Watchers and Yelp over the January 2014 – December 2016 period.

In general, we found that iOS data correlates better with company revenues compared to Android data.

Similar “Lessons Learnt” are published as part of our Thought Leadership offering.


7. Articles of the week

WorldQuant: Discovering the hidden world of alternative data.

DataSift and LinkedIn: A new angle for social media analytics.

The science of artificial intelligence and alternative data isn’t fiction anymore.


8. Update on Eagle Alpha’s offering

There are 6 parts to our solution:

Education:

1. Teach-ins: firms use our teach-in to catch up with the early adopters.

2. Thought Leadership: clients use our Thought Leadership offering to stay ahead of competition.

Alpha:

3. Bespoke Projects: submit a research question and we will prepare a proposal.

4. Data Insights: this month we have started to publish reports based on email receipt data.

5. Analytical Tools: clients use one of our tools to track expert commentary.

6. Data Sourcing: a key pain point is what datasets to prioritize. We advise clients on the most relevant datasets for their needs.

Data beats opinion,

The Eagle Alpha Team.

www.eaglealpha.com