1. BofA report: Data Capital – Global Big Data and AI Primer.

2. Featured dataset: U.K. consumer transaction data.

3. Case study: Consumer transaction data correctly predicted Just Eat revenue beats. 

4. Research question for a Bespoke Project: Which brands are showing positive momentum on social media?

5. Vendor access: Trade nowcasting data provider doing meetings in Boston (September 8th) and NYC (September 11th – 14th).

6. Events: We are speaking at a Citi event where 5 data vendors will showcase their datasets to the buyside (September 15th).

7. Did you know? Data lakes cost less than enterprise data warehouses because datasets are not indexed and prepped at induction, they are stored in native formats and reconfigured when needed.

8. Featured articles: 1) Building a quantamental investing team; 2) MLC’s hedge fund quest for titans and minnows; 3) Using AI for finance is easy to imagine, but hard to do.

9. Contribute to our newsletter.

 

1. BofA report: Global Big Data and AI Primer.

BoA published a great 311-page thematic report discussing how big data will affect several sectors. The title is “Data Capital – Global Big Data and AI Primer.”

Alternative data is highlighted as “an asset class of information that has come into being off the back of the broader data explosion, and buy- and sell-side spending is projected to exceed US$7bn by 2020E.”

Eagle Alpha is referenced in the asset management section. Our diagram showing the 23 categories of alternative data is included.

2. Featured dataset: U.K. consumer transaction data.

Vendor overview: Our partner’s consumer transaction dataset consists of anonymized panel data drawn from users of the UK’s largest personal financial assistant, an app/web platform. Data is collected in near real-time, directly from bank and credit card records.

The panel consists of 230 million transactions across over 500,000 accounts and grows by an average of 5 million transactions per month. With each panel member holding an average of 4 financial accounts, across multiple providers, this consumer transaction dataset represents the UK’s largest complete collection of consumer financial activity

Dataset Overview:

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

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

Our database has 509 providers. Contact us for more information – enquiries@eaglealpha.com

3. Case study: Consumer transaction data correctly predicted Just Eat revenue beats.

Eagle Alpha’s predictive model for Just Eat, based on consumer transaction data from our data partner, predicted a revenue beat for the multinational online food order business in H2 2015 and H1 2016.

Our ARIMAX model forecasted H1 2016 revenues exactly at 171.6m compared to a consensus estimate of 163m. In H2 2015 our model predicted revenues of 144.8m compared to a consensus estimate of 134m. Actual revenues for the second half of 2015 came in at 140m beating consensus, in line with our prediction.

Our Just Eat model has shown a mean absolute percentage error (MAPE) of 1.8% in backtesting, a large improvement on consensus which has an MAPE of 3.7%.

Following the H1 2016 beat the Just Eat share price rose by 4.3% on the day and 17.6% on the month. Similarly, the stock rose by 3% after the H2 2015 beat.

Contact us to learn more about this dataset.

4. Research question for a Bespoke Project: Which brands are showing positive momentum on social media?

Contact us to receive a document outlining the answer.

5. Vendor access

  • ·Roadshow: Trade nowcasting data provider doing meetings in Boston (September 8th) and NYC (September 11th – 14th). Contact us to learn more.
  • Roadshow: Labor market data provider doing meetings in London (September 11th – 13th). Limited availability left, contact us to learn more.
  • December 5th – We are handpicking up to 50 alternative data vendors to pitch to buyside firms on Tuesday 5th December 2017 in New York. This is a must attend event for buyside professionals interested in alternative data. Contact us to learn more.

6. Events

  • September 15th – We are speaking at a Citi event where 5 data vendors will showcase their datasets to the buyside.
  • September 19th – We are speaking at Citi’s Equity Derivatives Conference in Charleston.
  • September 26th – We are speaking at a FactSet event in Hong Kong.
  • September 28th – We are speaking at a FactSet event in Singapore.


7. Did you know?

In a recent article, McKinsey argued for a massive and quick expansion of data management infrastructures with the use of data lakes, platforms that can store, process and analyze both structured and unstructured datasets. Data lakes cost less than enterprise data warehouses because datasets are not indexed and prepped at induction, they are stored in native formats and reconfigured when needed.

8. Featured articles

Building a Quantamental Investing Team.

MLC’s hedge fund quest for titans and minnows.

Using AI for finance is easy to imagine, but hard to do.

9. Contribute to our newsletter

We work with domain experts to promote their expertise to investment managers worldwide. Contact us to get featured in our newsletter which is distributed to 3,700+ people on the buyside – enquiries@eaglealpha.com.

Data beats opinion,

Eagle Alpha