Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Today, organizations of all types are looking at leveraging data and analytics (D&A) for ...

The PROFIT framework provides a comprehensive analysis of the ROI for DA projects. With this method, I have seen companies enhance their market presence and build customer trust.

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

The tools that will be used include: network analysis, mathematical modeling, data analysis, machine learning, decision analysis, game theory, risk analysis, and programming (e.g., using Matlab, R, ...

Forward-thinking PMOs recognize the need for project decisions to be supported by data. Here's what you need to know to become more data savvy in driving better project outcomes.

Data analytics is the science of analyzing raw data in order to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.

Known as Project Ellipse, the platform demonstrates how regulatory and other data, such as articles and news, can be integrated into a single platform to help regulatory authorities identify ...