Despite the potential of data to improve business performance, data analytics projects have a poor success rate. Gartner says that only 20% of analytic solutions deliver business outcomes.

Data analytics is a fast-moving field that considers sets of information to help leaders develop informed decisions and strategies in all types of organizations. ... "This creates the need to (expand) ...

Nested data structures are a boon to modeling, storage, and query performance, but pose challenges to traditional BI tools. Here’s how to overcome them ...

The data scientist role varies depending on industry, but there are common skills, experience, education, and training that will give you a leg up in your data science career.

Data analytics is the process of analyzing data trends to gain knowledge and insight for better decision making. Written by eWEEK content and product recommendations are editorially independent ...

Data analytics is the science of analyzing raw data in order to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.

Data analytics involves recognizing which data is useful for a business goal and selecting that data as a “feature.” There are many automated technologies today that excel in data analytics ...

Azure Data Lake Analytics (ADLA) is an older on-demand (serverless) analytics job service that simplifies big data, and uses U-SQL, which is SQL plus C#.

Then there was a shift to provide data for basic analytics and reports, with a new focus on unstructured data, he says. This, in turn, evolved into real-time streaming.

In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can ...