Data analysis is a crucial part of any geological project, whether you are studying rocks, minerals, fossils, or landscapes. But how can you make sure you are doing it as efficiently as possible ...

The data import feature is a much-needed upgrade for data management within Google Analytics. Analysts these days chase down data from untold number of sources and depend on visualization tools to ...

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.

What are the largest inefficiencies in a data scientist’s workflow? This question was originally answered on Quora by Ben Hamner. Newsletters Games Share a News Tip ...

Workflow analysis helps managers understand the process leading to task completion. An analysis of workflow tells the manager what happens after a project is delegated to a department or work te.

Analysis of the data includes simple query and reporting, statistical analysis, more complex multidimensional analysis, and data mining. The information frequently is stored in a data warehouse, a ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

This article was contributed by Sergio Suarez Jr., founder and CEO of TackleAI.. Workflow automation, also called data automation, is the new buzzword in the tech industry, but what is it, really?

The cost and time involved in sending applications and data over a network to remote data centers needs to be included as well. Dave suggested that workflow analysis, ...