Re-analysis of clinical trial data can change conclusions in one-third of studies Date: September 9, 2014 Source: Stanford University Medical Center Summary: As many as one-third of previously ...

Some closing thoughts about Big Data, in my last post as ZDNet's Big on Data guy.

Key Points Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things like ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Use the tools and techniques of data analysis to make sense of mountains of information.

Data analysis has revolutionized the sports industry, providing insights that enhance performance, strategy, and fan engagement. By leveraging large datasets, advanced analytics, and predictive ...

Reports of existing and new home sales slumps are everywhere. The problem is, the data is too imprecise and the analysis is too simplistic. Therefore, the plausible, yet nonsensical conclusions ...

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Why doesn’t data analysis work? All three researchers explained that while data is helpful in pinpointing students’ weaknesses, mistakes and gaps, it doesn’t tell teachers what to do about them. Most ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...