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 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

AI Foundations has created a fantastic guide to take you through the process of using AI for your data analysis to get exceptional results. Claude 3.5 Sonnet is a powerful AI tool that simplifies and ...

Managing system risk is paramount for organizations to protect their data and ensure operational continuity. Security Impact Analysis (SIA) is a critical component of this process, offering a ...

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 ...

As state and local governments adjust to the ramifications of the 2025 fiscal year, they’ll need to balance budgetary concerns with the ability to deliver exceptional citizen services. The ability to ...

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 ...

It's time for spring cleaning, including your enterprise data stores, says data expert Joey D'Antoni, who offers front-line data-hygiene advice straight from the IT trenches. "Data can be one of our ...

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 ...