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

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 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

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

Learn the difference between Excel COUNT and COUNTA, plus TEXTBEFORE and TEXTAFTER tricks, so you clean text and totals with ...

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 ...

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 ...

You must have clearly defined research objectives to guide your analysis to ensure your analysis is focused on addressing your aims. Data Collection and Quality Familiarise yourself with the context ...