How can traders make better use of quote data across global credit markets? This analysis examines IBVAL, CBBT, and median ...

Discover how precedent transaction analysis evaluates company value using past acquisition prices. Understand key factors, data sources, and its advantages and challenges.

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Sheryl Grey is a freelance writer who specializes in creating content related to education, aging and senior living, and real estate. She is also a copywriter who helps businesses grow through expert ...

The design of your study, the research questions you’ve posed, and types of data you’ve collected (e.g., quantitative, qualitative) are important considerations in determining the data analysis and ...

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 ...

Julius is a promising new AI service for analyzing data. I’ve been using it to make sense of—and visualize—my analytics dashboard and find meaning in giant datasets. You can use it for virtually any ...