Big Data

New Ways to Reach Millennials by Using Big Data Analytics

New Ways to Reach Millennials by Using Big Data Analytics: From politicians to businesses, it feels like we can't escape one discussion or another about the millennials. It's vital, then, for people in business leadership roles to ensure that they understand the mentality of this growing sector of the population in order to better understand [...]

By | April 20th, 2017|Big Data Analytics|0 Comments

A Big Market For Big Data – An Outlook on 2017

Big Data analytics and Business Intelligence are both fueling the growth of Enteprises all over the world, and also getting heavy investment within the Big Data market. The ability to gain insights laying dormant in unstructured data is enabling organizations to compete and constantly improve in spaces where they weren’t able to realize their potential. Companies around the world are [...]

By | April 5th, 2017|Big Data, Big Data Analytics|0 Comments

Fast Data, Fast Monitoring – From Big Data to Fast Data

Today, the key to leveraging data effectively is to do fast data. In a similar fashion, traditional incident management-which entails collecting and analyzing large volumes of monitoring information-is no longer enough. Organizations must also now do "fast monitoring," which means not only collecting monitoring data; but making it actionable in real-time. Very simply put, fast [...]

By | April 4th, 2017|Big Data, Fast Data|0 Comments

Big Data Could Solve The Prescription Drug Epidemic

Big data is becoming an essential part of nearly every industry. It’s changing the way we look at data collecting and processing, but it has the potential to save lives across the country. Prescription drug addiction is a growing epidemic. Until now, officials didn’t have the tools to collect the information they needed to stop it. [...]

By | March 29th, 2017|Big Data|0 Comments

7 tools to help your company get started with big data

Many businesses today are grappling with a big question: How can we manage our data? While collecting it is easy, analyzing and understanding big data is more complicated. There's internal data, which could be structured data coming from charts and databases, or unstructured data, like metadata or text from emails. There's social media data, data [...]

By | March 21st, 2017|Big Data|0 Comments

3 Keys to Improving the Customer Experience Through Data Intelligence

In today’s experience economy, the reality is your customer experience defines your brand more than anything else you do. And yet when it comes down to it, many companies are lulled into limiting their potential for growth by hyper-focusing on better design, more creative content or experiences as the sum of their available paths, rather [...]

By | March 14th, 2017|Big Data, Machine Learning, predictive analytics|0 Comments

Why Big Data Needs Visualization to Succeed

Data visualization will be most effective by identifying qualitative versus quantitative data, selecting the right tool and visual types, and ensuring that the information presented is easy to grasp and digest. The value of big data is unquestionable, but the volume, variety, and velocity of information assets can make extracting actionable insights a challenge. Many [...]

By | March 10th, 2017|Big Data|0 Comments

25 Predictions About The Future Of Big Data

Recent Article By Bernard Marr - If you haven’t had the opportunity, I believe that a recent article published by Bernard Marr entitled: 17 Predictions About Big Data was a great start (original version posted here). What Was Missing… I agree with all of Bernard’s listing but I believe that he missed some predictions that the industry [...]

By | February 27th, 2017|Big Data|0 Comments