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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

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]

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Banking on Hadoop: 7 Use Cases for Hadoop in Finance

July 20, 2014 by Michele Nemschoff

Finance. 

The bottom line is that all enterprises, especially financial firms, need to use big data and Hadoop technologies to their fullest potential now, particularly with the overwhelming amount of data and transactions amassed on a daily basis In order to remain competitive and maintain current customers while attracting new ones, financial firms should start planning to utilize big data.[read more]

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5 Considerations to Make Before Choosing a Web Hosting Company

July 18, 2014 by Philip Cohen

Choosing a web hosting company.

Web hosting is often seen as an unnecessary expense, especially when starting up a website, which makes it tempting to grab the first free or low cost offer. Unfortunately, with most of these hosts you get terrible service and you can limit or prevent your success altogether.[read more]

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Data and Dating: How Agencies are Using Big Data to Find the Perfect Match

July 17, 2014 by Rick Delgado

Data and dating.

Dating agencies still have plenty of challenges to overcome to fully utilize big data. Sites need to work on fine tuning their algorithms to make better matches. They also need to find new ways to generate data, while filtering out data that is inaccurate or leads to less than satisfying results.[read more]

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The White House Recently Completed a Study on Big Data Privacy: Do You Care?

July 16, 2014 by Tamara Dull
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The Big Data MOPS Series.

With today’s big data technologies, it’s becoming easier to re-identify individuals from this anonymized data. Programming techniques have been and continue to be developed to pull these anonymized pieces back together from one or more data sets.[read more]

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3 Ways Big Data Is Changing Financial Institutions Forever

July 15, 2014 by Bernard Marr
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The Big Data Guru column.

Big data and financial services are natural match – after all, with nothing to manufacture, and no physical product to sell, data is the bedrock the industry is built on. On top of that, most of their business is quantitative – they mainly deal in good old-fashioned numbers – the simplest data to record and analyse.[read more]

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Businesses Learn the Hard Way When It Comes to Cyber Attacks

July 15, 2014 by Christian Crank

Cyber attacks.

When it comes to how businesses are approaching cyber security, most know what to do in the event of a cyber incident, defending against phishing and social engineering attacks is priority, and concern over company web facing applications is high, according to a recent survey by TrainACE, a cyber security training organization.[read more]

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The Rule of Three Works for IT

July 14, 2014 by Paul Barsch

Risky Business column.

The rule of three is a teaching, writing or presenting device where a key concept is broken into three easy to remember pieces. Does the rule of three apply to the fields of technology and business? Going forward, let’s be sure to use more tricolons in our training materials, internal presentations and customer whitepapers.[read more]

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Retail is Dead. Long Live Retail!

July 14, 2014 by Charles Settles

Using data for retail.

Walmart has several strategies to grow their ecommerce operation. Their distribution system is already the model upon which others are built — including Amazon’s. They have already been leveraging their supply chain management system, built on collaborative, vendor-managed inventory, to secure their place as the largest retailer in the world.[read more]

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For the Greater Good: Cops Embracing Google Glass

July 12, 2014 by Philip Cohen

Cop wearing Google Glass.

At least two law enforcement agencies are trying or plan to try Google Glass so far. The New York City police department acquired a few pairs to try out, and a number of law enforcement and other government agencies in Massachusetts are interested in the program.[read more]

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Who Owns the Data? Well, It’s Complicated

July 11, 2014 by Tamara Dull

The Big Data MOPS Series.

I don’t know if Edward Snowden – the NSA contractor turned whistleblower currently living in exile - is a hero, traitor or a schmuck. What I do know is that he has brought the data issue much closer to home for me as a consumer and a U.S. citizen. It has left me scratching my head and wondering, “Who owns my data, anyway?”[read more]

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Data Infrastructures

July 10, 2014 by Hallam Stevens

Data infrastructures.

It is obvious to say that big data rely on computers. It would be practically impossible to implement big data algorithms with pencil and paper – it would just take too much paper and too long to write all the data down. Data infrastructures - the software and hardware that holds our data - have histories that affect what big data can be and what we can do with it.[read more]

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4 Things You Should Know About Operation Clandestine Fox

July 10, 2014 by Philip Cohen

Operation Clandestine Fox.

At the end of April, computer security firm FireEye discovered a flaw in the Microsoft web browser Internet Explorer. If hackers are able to exploit this flaw, which the security firm has dubbed Operation Clandestine Fox, it could lead to the entire computer being compromised.[read more]

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How Predictive Modeling is Changing the Way We Work and Live

July 10, 2014 by Sergii Shelpuk

Predictive modeling.

Thanks to ongoing advances in computing and warehousing technologies, big data keeps getting bigger and advanced analytics such as predictive modeling make it ever more useful. The proliferation of smart devices, cloud computing and SaaS applications, both in our personal lives and the workplace, gives us the ability to know more about human behaviors and practices than ever before.[read more]

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The Impact of Big Data on Linguistics

July 9, 2014 by Gil Allouche

Big data and linguistics.

Linguistics is an area that is constantly changing from one day to the next. There’s no stopping the evolution of language, and with the web and social media the speed at which it’s evolving has increased dramatically. There are so many contributing factors to language that impact how and when it changes that it can be extremely difficult to track and completely understand what about the language is changing and why it’s changing.[read more]