Successful companies know how to turn data into actionable business insights. Modern data analytics, thanks to advances in artificial intelligence, visualization and cloud technology, provides ...

Customer Analytics (48%), Operational Analytics (21%), Fraud and Compliance (12%) New Product & Service Innovation (10%) & Enterprise Data Warehouse Optimization (10%) are among the most popular big ...

Hadoop and other tools have put “Big Data” on the map along with massive storage and compute clusters in the cloud. These have allowed users to manipulate and mine very large datasets with information ...

This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...

Worldwide Big Data market revenues for software and services are projected to increase from $42B in 2018 to $103B in 2027, attaining a Compound Annual Growth Rate (CAGR) of 10.48% according to Wikibon ...

The availability of big data analytical tools for use in cardiovascular practice and research will grow rapidly Big data analytical applications, such as predictive models for patient risk and ...

Trevir Nath has five years of experience as a financial writer working with various startups, financial services companies, and news publications. Trevor is an expert on business, personal finance, ...

A clear big data definition can be difficult to pin down because big data can cover a multitude of use cases. But in general the term refers to sets of data that are so large in volume and so complex ...

The mass amount of data collected by industries, retailers, and organizations requires knowledgeable professionals who can collect, mine, and analyze as well as store, retrieve, and manage data. These ...

The world is rapidly advancing towards becoming a fully digital society. At a global level, the amount of data is projected to increase more than fivefold, rising from 33 zettabytes in 2018 to 175 ...

You may have heard how statistical wizard Nate Silver predicted the electoral votes for each state in the 2012 presidential election, showing that raw data crunching of polls is much more reliable ...