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Can Fossil Analysis Software Help Us Plan Curriculum?

August 20, 2014 by J. Kevin Byrne

Fossil analysis software.

Paleontologists use (free) software (known as PAST) for their statistical analysis. I bumped into it via key-word web-search to support academic planning I was doing. I offloaded it, took a close look, and I discovered I could use a specific menu within it (hierarchical analysis) to help reconceptualize curriculum at my design college.[read more]

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How Big Data Is Changing Insurance Forever

August 19, 2014 by Bernard Marr

The Big Data Guru column.

Insurers such as Progressive in the US and Prudential in the UK are now pushing for wider acceptance of “telematics” devices, which feed back real-time data on a driver’s behaviour. So young drivers who can demonstrate that they keep within speed limits and do not brake suddenly too often, can pay less.[read more]

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Should the Entire Internet Be Encrypted?

August 19, 2014 by Shawn Gordon

Encrypt all the things!

Until the entire Internet is encrypting all its traffic, solutions like IceBrowser are a good way to protect yourself online. This isn’t about things as mundane as pornography; this is about protecting every piece of information and every footprint you leave out there.[read more]

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Dear Facebook, It’s Not You, It’s Us

August 15, 2014 by Tamara Dull

The Big Data MOPS Series.

Last week, we reached our 7-year anniversary mark. Have we really been together that long?! Because, honestly, it feels like forever. I’m sorry we didn’t celebrate, but I really didn’t feel like it. Ever since you asked me for my home address a few months ago, my feelings have begun to change. You crossed a line, dude.[read more]

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Big Data: Making an Impact at the Post Office

August 13, 2014 by Gil Allouche

Postal truck.

While the USPS is struggling, big data is exploding. The technology is taking significant steps forward at an extremely rapid pace, making it more and more enticing to numerous different sectors. Big data analytics is becoming especially important because of the speed and accuracy with which the analyses can be performed.[read more]

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Gigascience: A Science Journal That Provides Full Data Sets

August 13, 2014 by Hallam Stevens

Gigascience.

Gigascience’s data is useful because it is shared and open. More specifically, it is valuable because it is made available for use and re-use in multiple places and in multiple contexts. The rice genomes might now be used for formulating new rice strains in Africa or for comparison with tulip genomes in Holland.[read more]

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Little Data: The 25 KPIs Everyone Must Understand

August 12, 2014 by Bernard Marr

The Big Data Guru column.

Without good KPIs it is difficult to create good big data initiatives. I spend my work life helping companies around the world with their big data and KPI initiatives and have developed a list of top level metrics I consider global best practice examples.[read more]

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The Latest Technological Phase and What IT Pros Should Do About It [INFOGRAPHIC]

August 7, 2014 by Rick Delgado

Big data architect.

In order to take advantage of the big data analytics mentioned above, there has been an increasing demand for data scientists who can make up a big data dream team. Members of this team perform different functions, but they all work together to run and use big data technology.[read more]

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Data Scientist: Sexiest Job on the Planet

August 7, 2014 by Ray Major

Data scientist.

If you paid close attention, you could see it coming. The tortoise eventually beats the hare, but it does take time. Allow me to make my case using the following more or less chronological, non-linear and highly selective history of the modern era.[read more]

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Adapting to Winds of Change

August 6, 2014 by Paul Barsch

Risky Business column.

There’s much work to do before you can take advantage of cloud resources, and just-in-time planning doesn't cut it. With the flexibility, speed and power that cloud offers, there’s really no excuses to let opportunities to capture unplanned demand pass you by.[read more]

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Big Data and Biometrics: Why Your Face Matters More than Ever

August 5, 2014 by Bernard Marr

The Big Data Guru column.

Monday morning after a weekend barbecue, you upload some photos of the event to Facebook, and the website prompts you to tag your friends in the photos—with eerie accuracy, or occasionally, with amusing suggestions, like asking if your own photo is a picture of your brother or your son.[read more]

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How to Create an OBIEE Dashboard Tutorial

August 2, 2014 by Julie Johnson

OBIEE dashboard tutorial.

This tutorial will show you the basic steps required to build an Oracle OBIEE dashboard. By building on these principles you will be able to create dashboards to meet the specific needs of your users and to give you instant oversight of your business data.[read more]

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Where in the World Does All this ESRI World Data Come from?

July 31, 2014 by Shawn Gordon

ESRI World Data.

ESRI does have data sets of their own that are available both for free, and for licensing. They have their own demographers who come up with various cool products like “Tapestry”, which shows life groups and their habit patterns, so you could research in there and discover NASCAR fans are good at recycling.[read more]

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Mark Hurd on Data, Demographics and Devices

July 31, 2014 by Philip Cohen

Mark Hurd. 

Like Neiman Marcus, businesses can engage with customers in novel, value-generating ways like never before with big data. Smart storage solutions will allow companies to channel money into data analytics, which Hurd believes are the answer to the revolutions underway, from demographics to the culture of transparency.[read more]

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Big Data: The 4 Layers Everyone Must Know

July 29, 2014 by Bernard Marr

The Big Data Guru column.

There is still so much confusion surrounding Big Data. I thought it might help to clarify the 4 key layers of a big data system - i.e. the different stages the data itself has to pass through on its journey from raw statistic or snippet of unstructured data (for example, social media post) to actionable insight.[read more]

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3 Organizations That Can See the Future with Predictive Analytics

July 26, 2014 by Michele Nemschoff

Predictive analytics.

The ability to foresee the future would certainly be the ultimate competitive advantage. In reality though, no business has a crystal ball for making critical decisions. That’s why all critical business decisions have always carried a certain amount of risk. This risk has always and will always be part of the competitive game.[read more]

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If You Think Data Security is IT’s Responsibility, Think Again

July 23, 2014 by Tamara Dull
1

The Big Data MOPS Series.

What does Ebay, Living Social and Adobe have in common? These companies, among countless others, have all experienced a significant data breach in the last year. While these breaches have cost millions of dollars to fix, they’ve also cost some executives their jobs. If you don’t think data security is important, especially in this new age of big data, think again.[read more]

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The Amazing Ways Big Data Is Now Used in HR

July 22, 2014 by Bernard Marr

The Big Data Guru column.

Employees are a both a business’s greatest asset and its greatest expense. One company offering unique solutions to help others tackle this challenge is Evolv, and in this post I will have a look at what they do, and why it’s an important – but controversial - example of big data analysis driving business growth.[read more]

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How the Internet of Things Is Making Food Safer

July 22, 2014 by Rick Delgado

Food safety.

One area that stands to benefit greatly from the IoT is the food industry, more specifically making improvements in food safety. With advances in wireless technology and cloud computing, the IoT has the potential to make food safer from the farm all the way to the customer’s dinner plate.[read more]

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Multi-Channel Retail: Where Big Box Meets Big Data

July 22, 2014 by Charles Settles

Retail and big data.

Amazon’s highly publicized unveiling of their Prime Air project was seen as a warning shot across the bow of logistics giants UPS and FedEx, but Walmart would do well to pay attention too. As noted in part one of this two-part series on multichannel-retail, Walmart’s dominance is as much because of their investment in distribution as it is because of their low cost of goods sold.[read more]