Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

The FDAP stack brings enhanced data processing capabilities to large volumes of data. Apache Arrow acts as a cross-language development platform for in-memory data, facilitating efficient data ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

If you have lots of spreadsheets you would like to analyze, but unfortunately don’t have the time to invest in trawling through each one to any great depth, but known they contain a wealth of valuable ...

Conversational AI has transformed how businesses and organizations analyze data. It provides intuitive, accessible, and efficient tools for data exploration and understanding. This technology uses ...

Vision Fortune Finance Institute, guided by Alaric Wynthorpe, introduces a new data processing engine to advance Fortune ...

Institutional investors face complex decisions—where to allocate capital, which managers to trust, how to weather volatility. These choices can’t rely on instinct alone. They require data, structure, ...

Spend less time wrangling data and more time uncovering opportunities with Bloomberg’s growing number of investment research data products. Purpose-built and curated for rigorous investment research, ...