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.

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

In today's digital landscape, understanding network traffic has become crucial for effective management and security. IP traffic analysis provides valuable insights into data flow across digital ...

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 ...

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

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

Website statistics can provide loads of information that lets you see how visitors are behaving, but not necessarily why. This creates a variety of advantages and disadvantages based on how you ...

Forbes contributors publish independent expert analyses and insights. I write about how to drive more value with data and analytics. As companies seek to become more data-driven, too much of the focus ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

Over the past few decades, businesses, governments, and militaries worldwide have relied heavily on data analytics to advance operations, gain critical insight for tactical advantages, and improve ...