Alternative Data Newsletter #110 – March 22nd, 2019

Alternative Data Weekly (#110)

Important Developments

  • Have Consumers Fallen Out Of Love With Tesla? Analysis of Twitter data, using our Web Queries platform, shows consumer interest in the recent Model Y launch is significantly lower than interest in the Model 3 at the time of its launch in 2016.
  • Access & Alpha in Singapore: this week we hosted the first alternative data event in Singapore. Contact us to learn about the key takeaways –

Events You Should Attend

What Datasets Are Getting Traction?

  • Quant: this vendor collects data from over 1 million publisher sites worldwide, including over 30 billion intent and interest signals. Signals include content consumption behaviors, copy and paste sharing, search keywords, and social behaviors. Our Data Sourcing clients can view the full profile here.
  • Discretionary: this vendor collects pricing data from over 30 thousand UK-based retailers. The vendor has partnerships with these retailers allowing them to crawl the eCommerce sites of these retailers and in return the retailers receive free organic traffic to their sites. Our Data Sourcing clients can view the full profile here.
  • New dataset: this vendor’s platform allows users to search and analyze tender data from 33 jurisdictions (28 EU member states, Norway, the EU Institutions, Iceland, Switzerland, Georgia). Our Data Sourcing clients can view the full profile here.

Data Science Lab

  • Open Sourcing This Week: List of open-source Anomaly Detection libraries for time series – this list of tools and datasets for time series anomaly detection from the open-source initiatives of many of the biggest technical organizations including Etsy’s Skyline monitoring library, Twitters AnomalyDetection R package, LinkedIn’s luminol time series analysis suite, and NASA’s Telemanom LSTM detection library for multivariate time series.
  • What We’re Reading This WeekJupyter Helpers: Productivity tips for Jupyter (Python) – this article focuses on ways to make life easier while performing analysis in the popular Jupyter notebook environment, including tools to enable jumping to variable and function definitions in a notebook, selectively importing functions from defined in other notebooks, and more comical yet useful tools such as playing a sound when that single cell to run all of your code finally finishes.

Inside Track

  • Alpha Focus Session – B2B Data (online): our second alpha focus session will be held on March 29th and we will discuss how to work with various types of B2B datasets. Three vendors will attend the session, explain their data procurement and discuss the use cases. Contact to learn more.
  • Dataset Costs/Pricing: a client asked us to launch a think tank comprised of buyside firms to discuss dataset costs. The output will be a white paper. To learn more email
  • Standardized DDQ: the first draft of the document was prepared by Lowenstein Sandler and the document is currently being reviewed by Simmons & Simmons. Contact to learn more.

Notable News in the Alternative Data Space