Overview: Practical projects show how data supports real decisions across industries and services.Analytics skills grow stronger through hands-on work with real ...

In the world of research, a significant shift has occurred. Traditional ways of analyzing data, which usually take a while, are being complemented by real-time data analytics. This new method allows ...

The demand for real-time analytics now spans nearly every industry, where every transaction, operation, and decision are characterized by its speed and freshness. While the push for real time is ...

On time and on budget—the familiar yet challenging goal in the construction industry. Despite significant efforts to enhance construction productivity and efficiency, many projects continue to ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

Generative AI not only makes analytics tools easier to use, but also substantially improves the quality of automation that can be applied across the data analytics life cycle. The generative AI party ...

Life sciences commercial teams are drowning in data complexity. Despite having access to sophisticated analytics platforms, teams still spend days navigating multiple dashboards, waiting for insights, ...

Digitally generated image of purple glowing futuristic semiconductor, digital data flowing and network structure. Innovation, AI and cybersecurity concepts. From sensors on the ground to drones in the ...

RFID and data analytics are powerful—yet often underutilized—tools for warehouses eager to boost efficiency and reduce errors. From real-time inventory tracking to predictive stock management, these ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...