Data-driven analytics applications are eating the world and transforming every domain. But the world is also being eaten up in a different way by several non-sustainable practices. On Earth Day, we ...

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 help ...

The explosion of activity in the big data analytics sector is both undeniable and understandable. Done well, big data can help companies realize valuable data and business insights that translate into ...

Big data adoption reached 53% in 2017 for all companies interviewed, up from 17% in 2015, with telecom and financial services leading early adopters. Reporting, dashboards, advanced visualization ...

Opinions expressed by Entrepreneur contributors are their own. After several years of cautious enthusiasm, the marketing and advertising technology sector is now embracing big data in a big way.

Data analytics, business intelligence and data visualization software are critical components of the big data technology stack. They are the tools that everyone from everyday business users to ...

Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These platforms ...

In today’s business landscape, data is the key ingredient to long-term growth. However, specialized tools and software are required to translate data into actionable insights. Without it, the data is ...

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 ...

In his role as Senior Business Development Strategist and Senior Public Safety Strategist at CDW•G, Matt Parnofiello manages technology integration projects with public safety agencies from concept to ...

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 ...