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5 Big Data Hadoop Use Cases for Retail

September 30, 2014 by Sameer Nori

Hadoop for retail.

How does Apache Hadoop help retailers? Apache Hadoop is not just a data storage and processing framework - it is an transformational platform, especially for retailers who want to analyze customer data and improve revenues and the general customer experience.[read more]

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5 Ways Big Data Impacts the Insurance Industry

September 26, 2014 by Gil Allouche
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Insurance.

As technology improves, so too does the ability to predict future diseases. And predicting future diseases is extremely important for health insurance companies. With big data, companies are now finding ways to monitor patients’ current health status while still looking at their potential for future diseases.[read more]

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Gaining an ‘Unfair Advantage’ with Predictive Analytics

September 25, 2014 by Kristen Paral

Predictive analytics.

Predicting the future is no longer just science fiction. Data tools today are smarter, faster and more intuitive than ever before, and data scientists are making what was once viewed as futuristic capability a reality in today’s organization.[read more]

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Is Big Data the Silver Bullet for Advanced Supply Chain Analytics?

September 25, 2014 by Ray Major

Analytics.

Leveraging “Big Data” is coming up more and more as a “must have” in conversations I’m having with clients and prospects, not only in the food and beverage industry, but in other industries that have supply chain applications as an integral part of their operations.[read more]

Big Data and Ford's Faster Horses

September 15, 2014 by Arent van 't Spijker

Horse? Or horseless carriage?

In the late 19th century, a New York City planner put out a warning that by 1950 the city would be completely uninhabitable. The problem, as he saw it, was that at the current growth rates the city would not be able to sustain the growing number of horses.[read more]

Prepare to Be Amazed by Immersive Intelligence

September 12, 2014 by Bill Franks

Immersive intelligence.

The range of immersive visual worlds that can be created is limited only by the types of data that exist and how that data can be utilized. In other words, it is virtually limitless. There is no doubt that immersive intelligence is still an edgy idea that hasn’t been widely adopted. However, the technology is here to make it possible and I suspect we’ll start seeing more of it soon[read more]

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Don’t Let Internal Obstructionists Derail Your S&OP Initiative

September 10, 2014 by Ray Major

Obstructionists.

I recently ran across an article by Tracy Parsons where she identified obstructionist within an organizations as people who are “Paid by the No.” I found that statement to be not only quite funny, but also quite accurate. We’ve all experienced them.[read more]

Analytics Fortify Resilient Midmarket Companies

September 10, 2014 by Julie Hunt

Midmarket companies.

Midsized companies are much more in touch with customers and their own employees. They are truly interested in nurturing both of these relationships because they know that the right employees foster distinctive and positive interactions with customers.[read more]

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How to Unlock the Potential in Your Business Analytics

September 4, 2014 by Asha Saxena

Business analytics.

Analytics are your company’s map to success. They highlight profitability and losses so you can recognize which opportunities will put your business ahead of the competition; however, sometimes the most valuable analytics are overshadowed by complicated analytics modeling.[read more]

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A Case for Big Data Analytics as a Service

September 4, 2014 by Mithun Sridharan

Big data analytics.

Business Analytics has assumed such strategic importance that it has evolved from a purely IT activity into a core business activity touching upon various business functions. As a result of this shift in importance, there is an increasing focus on greater speed-to-insight than on platforms or technologies.[read more]

Intelligence Input = Sales Output

September 3, 2014 by Ray Major

Test of time.

In my experience many tech professionals, especially the executive ranks, consider themselves forward-thinkers, early adopters, one or two steps ahead, dispensers of wisdom. “If companies or consumers would just take our advice and buy our product or license our app, businesses would run better, people would be happier.” Or some variation on that theme.[read more]

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Derailing Your Supply Chain BI Project

September 1, 2014 by Ray Major

Derailing a project.

Remind people that data doesn’t kill dreams. A Supply Chain Business Intelligence initiative is not a funeral service for their creativity. Quite the opposite, in fact. The insights they gain from BI will pave the way for the boldest, most creative options you’ve ever considered as a business.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]

Understanding and Analyzing the Hidden Structures of a Unstructured Data Set

August 28, 2014 by Kunal Jain

Data set.

The key to using unstructured data set is to identify the hidden structures in the data set. This enables us to convert it to a structured and more usable format.In this article we will talk in more details to understand the data structure and clean unstructured text to make it usable for the modelling exercise.[read more]

Untangling the Retail Supply Chain with Real-Time Analytics

August 26, 2014 by Dale Skeen

Untangling the retail supply chain.

Retail supply chains are longer and more tangled than ever before – the complexity of the data sets and the management of far-flung suppliers coupled with high customer expectations around service and reliability are taxing traditional approaches to supply chain management to their limits.[read more]