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Big Data

Will Big Data Make the Difference in the Volvo Ocean Race?

October 14, 2014 by Mark van Rijmenam

Volvo Ocean Race.

During the last edition, Oracle Team USA used data from 300 sensors on the boat as well as 3,000 variables that ran 10 times per second to win the cup. This resulted in about 1 gigabyte of raw data per boat per day as well as 200 gigabyte of video data that had to be analyzed.[read more]

Who Gets the Call When Your Analytics Process Crashes?

October 10, 2014 by Bill Franks

Analytics matters.

I recently had a meeting with one of the largest companies in the world, where we discussed concerns about ongoing maintenance and, more importantly, ongoing repair required for analytics processes. The conversation helped solidify in my mind a major disconnect that often occurs when organizations deploy an analytics process into a production setting. Let’s walk through that disconnect here.[read more]

Billboards, Brand Awareness and Big Data: What Comedy Central and Gallery Furniture Have in Common

October 10, 2014 by Tracey Wallace

Billboards.

Traditional advertising relies on influencing the influencers, and gaining enough impressions that you can reasonably determine an ad’s spend produced sufficient ROI. As of now, there are no hard numbers to back that up, which is why so many brands put their traditional ad spend to play in areas with proven influencer viability, for instance Times Square, Hollywood or Vegas.[read more]

Big Data Equals Big Jobs: New Educational Programs to Help You Snag the Sexiest Jobs in the Industry

October 9, 2014 by Trips Reddy

Education and big data.

Whether you look at companies in finance, retail, healthcare, entertainment, sports or education, their big data needs will only grow in size and sophistication which in turn means they’ll need the right people and tools to gain a competitive edge and stay ahead of the game.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

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Whose Story Are You Telling?

October 8, 2014 by Tamara Dull

The Big Data MOPS Series.

You have limited (if any) control over what others share about you, but you do have control over what you share about yourself and others. Just because you have someone’s personal information doesn’t mean you have to share or act on it. Remember: It may not be your story to tell.[read more]

Data Ownership Ushers in Dawn of the Private API

October 8, 2014 by Tracey Wallace

Data ownership.

Twitter, once the industry leader in the public API space, announced their public API 2.0 version, which is much more restrictive toward third-party developers, and is causing the shuttering of multiple startups including the popular TwitPic. Essentially, Twitter is attempting to drive more users to adopt the company’s own channels by restricting third-party users like TwitPic, ultimately resulting in better monetization and control for Twitter itself.[read more]

Descriptive, Predictive, and Prescriptive Analytics Explained

October 8, 2014 by Ray Major
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Analytics explained.

With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making.[read more]

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8 Amazing Big Data Companies You Should Know, But Probably Don’t

October 7, 2014 by Bernard Marr

The Big Data Guru column.

The Big Data industry is changing weekly and unless you pay very close attention to who’s who in the maelstrom of emerging big data innovators, these upstarts might have slipped under your radar. Expect to hear more about some of them, and the technologies, services and applications they are developing, in the near future. Of course in the fast currents they are trying to swim in, others may sink without a trace![read more]

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Enabling Smart Marketing With Big Data

October 7, 2014 by Anand Srinivasan
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Big data.

As a marketer, it is easy to get caught in the loop of endless buzzwords and jargons about how 'brand equity' and 'alignment' ensure that your 'cutting edge' technologies bring about greater 'engagement'. But the 'bottom line' is that you just have to establish a strategy that is profitable for your company.[read more]

How Big Data Helps Bar Owners Sell More Beer

October 6, 2014 by Mark van Rijmenam

Big data and bars.

The local bar owner can now start using data generated by serving beer and this data reveals great insights and drives profit for the bar. Sensor in the brewing equipment generates all sorts of data and this data is transmitted via WiFi to a computer that analyses all the data in real-time. The data is then visualized on an App that can be used by the bar owner.[read more]

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Fine-Tuning Manufacturing Operations with Big Data and Hadoop

October 6, 2014 by Sameer Nori

Manufacturing pperations and Hadoop.

Your organization is a lean, mean Six Sigma machine. The corporate culture is centered on continuous improvement, with everyone well versed in Kaizen. Your supply chain is well oiled, which should provide assurance about product quality. And yet you wonder: is it possible to improve operations even further?[read more]

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The N-gram and the Book "Uncharted: Big Data as a Lens on Human Culture"

October 4, 2014 by Hallam Stevens

Uncharted: Big Data as a Lens on Human Culture

Between 2007 and 2010, graduate students Erez Aiden, Jean-Baptiste Michel and Yuan Shen developed a tool for analyzing Google’s digitized books. Known as the N-gram viewer, their tool essentially just counted the number of times a word or phrase appeared in all the digitized publications for a given year.[read more]

Amazon’s Data-Driven New Media Strategy: Bring Broadcast Ad Spend Online

October 3, 2014 by Rishi Shah

Ad spent on demographics.

Amazon has long been open about its efforts to displace our reliance on overpriced cable. After all, an Amazon Prime membership includes Amazon Prime Video, which comes with native and re-aired programming. Last week, though, Amazon expanded its efforts by getting into the TV ratings business – and this is a really big deal.[read more]

How Biostatistics and Spatio-Temporal Modeling Can Be Used to Protect Human Health

October 2, 2014 by Lillian Pierson

Air pollution. 

In an exclusive interview for Statistics Views, Dr. Chien gives an overview on his research, on how his research can be used to improve human health conditions in Taiwan, and on his favorite statistical method for analyzing space-time data related to particulate matter air pollution.[read more]

 

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