Tags » Data Analytics

Emotions run high on upcoming Greek referendum

Emotions have been running high across social networks on the upcoming Greek referendum. The question on everybody’s lips (and fingers) remains the aftermath of Greece defaulting its US$ 1.7 billion IMF loan. 721 more words

Data Analytics

What do data analytics pros need from IT? Plenty!

Enterprises want and expect a lot from their data analytics initiatives and their data science professionals, including greater insights into customers, markets, business processes, logistics, employee performance, and much more. 355 more words

Big Data

What is big data analytics?

Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. 24 more words

Big Data

Defining Where Analytics Are Going: The Collaborative Insight2020 Initiative

Predictions are notoriously difficult, and when it comes to the rapidly changing context of marketing and analytics, they become nearly impossible. But they also are necessary to help analytics providers, advertisers, and consumers plot their next moves. 334 more words

Chapter 10: Marketing Research

Investors believe social analytics is the future of market trading

In a survey carried out by Tagmemics among over 400 active investors, we found that 60% believe that social analytics is the future of stock and financial data. 56 more words

Data Analytics

Don't Go It Alone When Retrofitting

by Jim Meacham, PE, Principal, Altura Associates

Today, building owners embarking on an energy upgrade have more data and more choice than ever before. Digital data from power meters, HVAC systems, lighting systems, and other building equipment are waiting to be tapped. 1,279 more words


What Should We Achieve with Our Metrics?

Earlier this week, I came across an interesting item on the blog at the Stanford Social Innovation Review entitled What Gets Measured Gets Done that discussed the value of using metrics and data analysis in assessing the accomplishments of organizations operating in the non-profit sector.   525 more words