Data Analytics is the process of analyzing raw data to gain knowledge and insight for better decision making. Learn more now.

Key Points Predictive analytics allows for proactive decision-making, as opposed to reacting when things go wrong. Utilizing AI is just one way organizations can supercharge their predictive modeling ...

An international consortium of over 200 organizations had banded together to define and publish an open standard, CRISP-DM, for analysis of massive datasets.

AI-enhanced prescriptive analytics is no longer optional — it’s the strategic engine behind real-time decisions, optimization and competitive edge in 2025.

Process analysis includes analyzing these data and using the results to identify ways to improve customer service. This illustrates the importance of data analysis in process examination.

Certainly most examples require machine learning, a significant element of data analytics, and – increasingly – support from artificial intelligence software.

State and local agencies can use data to optimize resource allocation. Here are some examples of how process mining can be applied.

Data analysts take high-volume raw data and, by employing the multistep data analytics process, use it to answer questions. The first steps are to identify problems that data can be used to solve ...

Inside the Sabres' pre-Draft analytics process Sam Ventura, Domenic Galamini Jr., and Matt Barlowe explain how the organization uses statistics to inform decision making leading up to the draft.

GUEST OPINION: Big data analytics has become an increasingly crucial tool for businesses looking to gain a competitive edge and make informed decisions. But with large volumes of data to manage ...