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Big Data

What is the biggest challenge for Big Data? (5 years on)

April 28, 2016 by Tony Bain

Five years doesn't half fly when you’re having fun!  In this post from 2011 I highlighted some of the challenges facing the “big data revolution” centring on a lack of people with the right skills to deliver value on the proposition.  Fast forward to 2016 and this not only remains true, but is likely the key issue holding back...[read more]

Enriching Your Account Universe: Turn Data into Revenue

April 27, 2016 by Daniel Casarin

There is an 8x increase in ROI on personalized campaigns, according to Forrester Research. While B2C marketers have been doing this forever, it has taken longer to catch on in the B2B world. But smart teams understand that better segmentation is the key to B2B sales and marketing success.Because of that, I’m really excited to announce...[read more]


Youth Not Only Driving Big Data Success, But Pushing

April 26, 2016 by Rick Delgado

Big data use is only growing, with businesses realizing that their options are to jump on the craze or find themselves in an uphill battle against those utilizing the faster and more accurate information. However, with the next generation of entrepreneurs stepping onto the playing field, they’re doing more than just joining the craze –...[read more]


Uniting Big Data with the Cloud

April 26, 2016 by Sean Mallon

Combining big data with the cloud seems like the perfect technology unity. Despite the many advantages that the cloud offers, many corporations have been slow to make this transition. In fact, according to a Gartner survey from 2014, less than half of all major corporations with big data programs confirm that they’re using the cloud...[read more]


How Big Data Helps Solve Social Challenges

April 25, 2016 by Abdullahi Muhammed

Big data has challenges but it's clear that the pros of utilizing it now far outweigh the cons. Here are just a few ways that big data already helps solve social challenges.[read more]

Is Data Science a Liberal Art?

April 25, 2016 by George Mount

In the sense that all science is a liberal art, yes.This week I read a great piece by Adam Weinberg, the president of Denison University, on his school’s initiatives to apply a liberal arts approach to data science.This is shocking to most, but why? Let’s diagram this phrase “data science” (English skills!). Data is information — let’s...[read more]

Big Data is Impacting Small Business

April 21, 2016 by Faizan Raza

The idea of doing anything without logging in, clicking or texting something or someone is almost unthinkable. Everything we do leaves a trail of electronic fingerprints. Companies big and small are using these pieces of data to piece together the puzzle of who we are, and how we interact with the world around us. For marketing...[read more]


The Singularity and Personalization through Data: Where We Are Now

April 20, 2016 by Daniel Matthews

Big Data is allowing us to zoom closer into the personal lives of consumers. Just how close does advanced data science put us to the singularity?[read more]


Can Big Data Help Bridge the Workplace Skills Gap?

April 20, 2016 by Joe Peters

Rapid technological advancement has led to a significant growth of demand for highly skilled workers, which is resulting in expansion of the skills gap across industries. Businesses have to leverage the commercial benefits of data-driven decisions in this area to bridge the gap and stay competitive.[read more]


How data science and IoT helping in logistic management

April 19, 2016 by Yash Mehta

Data science and IoT together have touched every bit of our life and it is needless to say that at the same time it has proven to be fruitful for various industries as well. In today’s era when we are witnessing e-commerce industry is at boom, but in the background, there is another industry that is expanding rapidly. Any guess? Well,...[read more]

Smart analytics: unlocking the true value of big data

April 19, 2016 by Jagadish Thaker

Data is an organization’s most valuable resource. Data never sleeps. Every second massive amount of data is created from every website, phone, sensor, and whatnot. Whether data are useful or not, more often than not, we store them for future references. If we look at numbers, we generate more than 2.5 quintillion bytes of data every day...[read more]


Big Data Trends For 2016 - Predictions by Biggies

April 18, 2016 by Rehan Sheikh

It has become imperative for companies across all industries, small or large to join the big data movement. Volumes of data (both structured and unstructured) continue to rise in manifolds as we see there is an exponential increase in the number of handheld devices and other systems that are connected to internet. It is true that this...[read more]

Approach Big Data Analytics Like A Lego Kit

April 15, 2016 by Bill Franks

A few months back I was having a conversation with a colleague of mine, Brad Elo. We were discussing the importance of operationalizing analytic processes and the need for the use of repeatable and standardized components to enable success. As part of the discussion, Brad brought up a terrific parallel between Legos and analytics...[read more]

Top three IoT trends to watch for in 2016

April 14, 2016 by Daniel Casarin

The Internet of Things (IoT) is a very popular topic these days. This idea that everything will eventually be connected and everyone will have access to it, has, during the past decade, matured from utopian futurism to the peak of Gartner’s Hype Cycle for Emerging Technologies. Gartner projects 6.4 billion (yes, with a b) connected...[read more]

5 Ideas For Using Big Data To Your Advantage

April 14, 2016 by Kamy Anderson

You might want to consider how big data can work well for the demands you might hold when it comes to giving your business the upper hand. Here are a few great ideas that you can use right now to give your business a little more control over massive amounts of data like what you would come across in the world of big data and how it is organized in certain forms.[read more]