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.

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 ...

Improving your data analysis and result presentation skills is essential for making data-driven decisions and effectively communicating insights. Mastering these skills involves a systematic approach ...

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 ...

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 ...

Atlassian bolsters the reach of its AI toolset with the acquisition of AI-powered data cataloging tool Secoda, which aims to democratize access to enterprise data for business analysis.

We spoke with multiple HR experts to learn how companies can use AI to identify talent and skills gaps for employees' benefit ...

No business can be data-driven if the only people interested in data analysis are the analysts. Just as the guidance of accountants and attorneys shapes everyday business, analytics must be integrated ...