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

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

For example, advanced analytics applied to corporate financial planning and analysis (FP&A) can create daily financial signals on sales, gross margin and working capital drivers.

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

A good example is the data analytics software plants use to improve operations and maintenance through root cause analysis, asset optimization, report generation, and more.

Technological advancements have made acquiring data analytics skills an imperative for CPAs as they strive to provide value to their organizations and firms.

Consider these examples from the business world: -- Best Buy was able to determine through analysis of member data that 7% of its customers were responsible for 43% of its sales.

Explore real-world examples of how to use the feature to speed up PPC data processing and visualization, insights generation, and more.

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.