Learn the 4 types of data analytics, the 7 key models, the top 10 best practices for data analytics in 2023 and more.

Why is data analytics vital to businesses? Businesses have been backing their decisions on statistics for years. So what makes Big Data and data analytics so disruptive?

Customer analytics is a process that unlocks invaluable insights into what makes your customers tick. Among many functions, it helps you develop features, products and services that you know your ...

Yet, fraud protection is only one reason that Stripe embraced real-time data analytics. Evaluating trends in massive data ...

The Rise of Vibe Analytics event also marks the general availability of Plotly Studio and Plotly Cloud, following an ...

Big Data and Analytics What is Predictive Analytics? Predictive analytics enables users to go beyond knowing what has happened to assess what will happen in the future.

Learn what data analytics tools are, how they work, their key features, and more.

Data analytics is helping to shape new-age accountants who possesses the foundational knowledge of traditional accounting but also the technical expertise of a developer or programmer.

Streaming data, also called event stream processing, is usually discussed in the context of big data. It is data that is generated continuously, often by thousands of data sources, such as sensors ...

Hospitals and health systems have gotten better at using analytics to fine-tune their clinical, financial and operational improvement strategies. But it's time to revisit and prioritize data that ...

Data analysis plays an increasingly important role in how Independence is helping to redefine health care delivery to improve our region’s health care system.

What Is Network Data Analytics? At its most basic, network analytics is the use of data to monitor the performance, reliability and security of a network, according to Compton. Mark Leary, IDC’s ...