By: Jesse Cryderman
Big data has been with us for years, it just hasn't always been referred to as such. Back in 2008, when smartphones were just beginning their meteoric rise in popularity, Google debuted a
big data tool that was heralded as a poster child for technology: Google Flu Trends (GFT). The tool tracked 45 flu-related search terms over billions of searches, monitoring trends and
making correlations to predict flu outbreaks and severity. Improving healthcare with smart number crunching--what's not to love? Well, a recent paper in Science pointed out a rather
large un-lovable: GFT is nearly always wrong, and often by more than 50%…
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By: Dr. Andy Tiller
Big Data Analytics is a hot business topic and one that operators are keen to take advantage of. With all-in-one, out-of-the-box systems now available to leverage customer insight, operators
can finally start to make real headway. Operators are constantly being told about the value stored in their customer data; how real time insights can assist in their scramble to increase average
revenue per user (ARPU), whilst also offering significant value to partners. The Big Data proposition is an attractive one: operators monetize customer knowledge to up sell and cross sell to
customers more effectively, and generate new revenues by adding value to Over The Top (OTT) partner services…
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By: Jesse Cryderman
There is a problem with big data, and it's not that it's big. In ninth grade, John Myers discovered that he was wearing the same underwear on the six occasions when he scored a
perfect 100 on his math exams. His eyes widened at the apparent discovery: his magic underwear granted him unparalleled acuity. The following week, John went to his exams,
dutifully wearing his magic underwear. When the grades came back, he only scored a 78. What happened? John fell victim to a logical fallacy called illusory correlation…
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By: Amit Thombre
Big data is used to describe data which is so much larger and complex, that it is difficult to process using on hand database management tools or traditional processing applications. It refers
to large, diverse, complex, longitudinal, and distributed data sets generated from instruments, sensors, Internet transactions, email, video, click streams, and all other digital sources available
today and in the future. Through advances in communication technology, people and things are becoming increasingly interconnected…
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By: Nancee Ruzicka
The C-suite wants answers. In the C-suite it’s all about performance, problem solving, and progress. Understanding performance requires metrics, solving problems requires context and analysis,
and moving forward requires good decisions based on comprehensive and reliable information gleaned from across the business. But there’s a reason it’s called Big Data and managing the volume and
complexity of available data against resources, desired results, and staff presents executives with significant challenges…
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By: Arnab Mishra
In today’s Big Data Age, companies are grappling with more data than they know what to do with. The challenge facing businesses is figuring out how to properly turn big data into a profitable
resource, especially since much of our customer data is siloed from other business metrics. When done properly, data analysis can provide invaluable insights into customer behavior, help
companies anticipate customer trends, and make customer experiences more relevant and timely. By treating Big Data as a business asset, companies will have the competitive advantage they need to
innovate, increase revenue, improve the bottom-line and keep customers happier…
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By: Nancee Ruzicka
In a 2013 report, FICO cautions “80% of big data is unstructured.” If that’s the case, then why are we spending so much time and energy on structured data? The answer, it seems, is that the
data currently most valuable to service providers is structured. Service providers collect data from the network for important tasks like billing, revenue assurance, policy management, service
assurance, and fulfillment. For the majority of service provider operations, structured data captured from customer transactions and network elements reveals everything they need to know…
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By: Jesse Cryderman
Mobile phone customers (including this author) love to complain about slow downloads, jerky video, and 3G fallback. But in reality, it's a great time to be a mobile customer. Think
back even five years. The most desired devices were only available on a few select networks, coverage maps were spotty, data speeds were pokey, "bill shock" was a serious concern, and
customer service was only incrementally better than the monopolistic days prior to deregulation. It's easy to forget these facts, because today, even MVNOs and prepaid carriers offer the latest
Apple and Samsung smartphones…
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By: John Bantleman
In today’s Big Data Age, companies are grappling with more data than they know what to do with. The challenge facing businesses is figuring out how to properly turn big data into a profitable
resource, especially since much of our customer data is siloed from other business metrics. When done properly, data analysis can provide invaluable insights into customer behavior, help
companies anticipate customer trends, and make customer experiences more relevant and timely. By treating Big Data as a business asset, companies will have the competitive advantage they need to
innovate, increase revenue, improve the bottom-line and keep customers happier…
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By: Tim Young
There’s a great old story about an exchange between humorist Will Rogers and a reporter during World War I. The reporter supposedly asked Rogers how he would deal with the scourge of German
U-boats that were wreaking havoc in the North Atlantic. Rogers replied that he would boil the ocean. When the reporter asked how he might accomplish such a feat, Rogers quipped, “I’m just the idea
man here.” Like any good story, there is plenty of debate as to whether the above exchange actually happened, but who cares? It’s an exchange that has been happening in its own way in service
provider conference rooms around the world for years…
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By: Jesse Cryderman
Neck and neck in networks:AT&T and VerizonRootMetrics drove nearly a quarter of a million miles and conducted more than 5.6 million tests during the first half of 2014 in order to test out
wireless networks “in the wild.” The results? Verizon has the best performing wireless network in the U.S., with AT&T close behind.“Increasingly, a good mobile experience has become a
fundamental part of our daily lives, but determining which network performs best seems to have become more difficult,” said Bill Moore, CEO of RootMetrics…
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