This blog from Barclays Research's Data & Investment Sciences teams dives into frequently asked questions about data science and how it is reshaping investing. Read the introductory post to get started, or browse posts by topic below.
What are the choices for storage and processing large datasets in an enterprise environment? We discuss the relative merits of on-premise, cloud and micro-service solutions specific to our sector.
What alternative data types exist in the market and what benefit do they bring? For the more challenging datasets such as geolocation, transactional data and big text data, we discuss the relative merits of analysis techniques and tools.
Statistical & Data Methods
We discuss the best practices to utilise large and often unstructured data. Building from a base of robust statistical methods such as causal inference, we discuss modelling tools including classification models, machine learning and natural language processing.
Using alternative data in a regulated investment business can present a number of unique legal, compliance and general operational issues. We discuss how to approach and tackle these challenges.