Data beats opinion >>> weekly update on alternative data

1. Dataset of the week: U.K. consumer transaction data.

2. Case study of the week: Online data points to weakness for sportswear retailers and manufacturers.

3. Events: Discussion of legal and compliance considerations will be held on 26th July in London.

4. Dataset access: A global trade nowcasting data provider is doing meetings in London on 26-30th June.

5. Articles of the week: 1) Data scraper’s case v. LinkedIn; 2) How finance exploits news, sentiment and alternative data; 3) The machine learning regulatory challenge.

6. Update on Eagle Alpha’s solution.

 

1. Dataset of the week: U.K. consumer transaction data.

Vendor Overview: The provider is a real-time account aggregator that uses a secure portal to collate the financial transaction data of a user’s current, credit and savings accounts, regardless of provider, within a single platform.

Its market leading categorization engine intelligently analyses customer’s data to showing them how and where they spend money and identifies opportunities for them to spend, save and borrow more efficiently. They provide anonymized panel data.

Dataset Description:

  • A U.K. panel of 130,000 unique consumers, each holding an average of 4 accounts across multiple banks and credit card providers.
  • 24 fields of financial and demographic data, including age, gender, post code, merchant and transaction.
  • Stock level data.

Dataset Overview:

  • History: Since 2012.
  • Geography: U.K.
  • Delivery: AWS S3, FTP.
  • Frequency: Daily.

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

Our database has 487 providers. Contact us for more information – enquiries@eaglealpha.com


2. Case study of the week: Online data points to weakness for sportswear retailers and manufacturers.

On June 19th 2017, Eagle Alpha published a Data Insights report analyzing the sportswear industry using online search data. Our analysis showed declining consumer interest in both sports footwear and sports apparel.

Figure 1 below shows search indices for the big three brands and various waves of declining interest. The index for Nike began declining in early 2016 followed by a sharp drop in Under Armour in mid-2016. Adidas, on the other hand, saw steady growth in 2016 and all of these trends were reflected in company fundamentals. At the end of 2016, however, there was a sharp drop in the Adidas index as well.

The decline in consumer interest for sports footwear and apparel manufacturers translated into a negative impact on sports retailers. Eagle Alpha’s Search Signals indicators showed sharp declines for both Foot Locker and Finish Line since late 2016. The fundamentals for both companies have already been affected and our indicators point to further pressure on same store sales (figure 2).

The rest of this report is available to clients of our Data Insights package.

Contact us to learn about this report: enquiries@eaglealpha.com.

3. Events 

  • 26th July, London – Discussion of legal and compliance considerations e.g. privacy policy, PII, web crawling, exclusivity etc.
  • We are working on a few events before the summer sets in, including how to build and manage teams.


4. Dataset Access

  • Pilot fishing: we are currently obtaining feedback from clients on a potential ticker level dataset based on credit and debit card data. Only clients are invited to pilot fishing meetings.
  • Roadshows: 1) A global trade nowcasting data provider is doing meetings in London on 26-30th June; 2) UK consumer transaction dataset is doing meetings in London next week. Contact us to book meetings.
  • Events: the next data showcase events in New York and London are being scheduled.


5. Articles of the week

Data scraper’s case v. LinkedIn pits free speech against CFAA, DMCA.

How Finance Exploits News, Sentiment, and Alternative Data.

Simplicity and transparency: the machine learning regulatory challenge ahead.


6. Update on Eagle Alpha’s offering

There are 6 parts to our solution:

1. Teach-ins: firms use our teach-in to catch up with the early adopters. We now also offer set-up advisory.

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

3. Thought Leadership: clients use our lessons learnt to save time.

4. Data Insights: we have relaunched this on our website to focus more on indicators.

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.

Please forward this newsletter to a colleague.

The Eagle Alpha Team

www.eaglealpha.com