The challenges posed by the modern economic and business climate mean that companies must be ready to cope with change. Change can affect business strategy, operations, marketing, technology and more.

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 ...

One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...

Microsoft Excel for analysts skills include Power Query to trim spaces and merge columns, so you automate cleaning steps and ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...

In early 2012, a group of Stanford University researchers interviewed 35 data analysts from 25 organizations across a variety of sectors, including health care, retail, marketing and finance, and ...

In today’s data-driven world, the ability to quickly and accurately analyze information effectively is a pivotal skill across a wide variety of different industries. If you have large amounts of data ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...