Isotopes, co-founded by Arun Murthy, launched a sophisticated analytics agent. Arun was one of the creators of Hadoop who ...

Businesses of all sizes want in on big-data analytics to cut costs, improve customer service, increase profits and identify and solve problems. We'll explain big data and share how businesses can ...

Data analytics is a subject of learning from data,of measuring, controlling, and communicating uncertainty, and of data-driven decision-makings (DDD). It will become ever more critical as businesses, ...

Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today – what's come to be known as big data. Companies are seeking technologies that not ...

As more companies rush to become data-driven in business, Big Data continues to play a pivotal role. The need for workers capable of collecting, analyzing, and visualizing large amounts of information ...

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space. It’s no surprise that in diagrams and visual ...

The latest information from the National Intellectual Property Administration shows that Hunan Wocheng Technology Co., Ltd. has jointly applied for a patent titled "A Big Data Analysis System and ...

The Smart Agriculture Big Data Platform is a digital agriculture management platform that integrates modern information technologies such as the Internet of Things, big data analysis, and artificial ...

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 ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

By using big data analytics in your planning and decision-making, your company will be well-equipped to solve today’s advertising problems and anticipate tomorrow’s challenges.

It is well-established that accounting is a data-intensive stream. It is filled with numerical, non-numerical, statistical and non-statistical data. There is data involved in invoices, purchase orders ...