The success of a business hinges on its ability to collect, interpret and act on relevant information in a timely manner. The process by which it does so is called analytics. Analytics involves ...

In September, the U.S. Army Aviation and Missile Command Data and Analytics Center was established to create and maintain an overarching data and analytics program ...

As Founder and CEO of Workstream.io, Nicholas Freund spearheads a SaaS company that helps data teams manage critical data assets. Data-driven organizations have demonstrated a distinct competitive ...

Lokesh is the Co-founder and CEO of Sigmoid, a leading data solutions company. He is a visionary and thought-leader in the industry. The volume of data created globally is expected to reach 175 ...

Building a Winning Data Team: 6 Functions Needed for a Modern Enterprise Data Organization Your email has been sent By organizing their team into six general functions, data leaders can build an ...

As cognitive and IoT technologies generate ever larger and more varied data sets, companies face the challenge of unlocking the value of that data. And those that are failing to effectively apply data ...

Discover Financial Services (NYSE: DFS) announced on Tuesday the launch of its new Data and Analytics (DNA) organization. Discover revealed that the new organization represents its commitment to ...

In this special guest feature, Jerry DiMaso, CEO and co-founder of Knarr Analytics, discusses how effective analytics has become such a determinative factor that it’s now evident that those who master ...

RIVERWOODS, Ill.--(BUSINESS WIRE)--Discover Financial Services, a digital bank and payments provider, today announced the formation of a new Data and Analytics (DNA) organization within the company ...

Sophisticated analytics tools mine insights from data, optimizing operational processes across the enterprise. In association withTeleperformance Business data provides an often untapped well of ...

The top trophy hire in data science is elusive, and it’s no surprise: a “full-stack” data scientist has mastery of machine learning, statistics, and analytics. When teams can’t get their hands on a ...