Coverage, Timeliness and Quality of Data the Key Challenge for Quants, Research Analysts and Data Scientists, according to Bloomberg Research Survey | PR Newswire [Video]

Findings also indicate a preference for moving to the cloud for historical data management needs

, /PRNewswire/ — The adoption of quantitative and Artificial Intelligence (AI)/Machine Learning (ML) techniques, and the growth of systematic strategies have made investment research data especially important for firms seeking alpha. With these strategies on the rise, Bloomberg polled over 150 quants, research analysts and data scientists in a survey conducted during a global series of client workshops to understand key trends and challenges in investment research.

Data coverage, timeliness, and quality issues with historical data was cited as the top challenge in the industry, with nearly two-fifths (37%) of respondents selecting this option. This was followed by normalizing and wrangling data from multiple data providers (26%), and identifying which datasets to evaluate and research (15%).

In line with these challenges, Bloomberg’s survey found that 72% of respondents could evaluate only three or fewer datasets at …