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Predictive Analytics

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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]

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]

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]

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Spark the Flame: The Power Behind Real Time Analytics

August 26, 2014 by Gil Allouche

Real time analytics/Deviantart.net 

Real time data analytics is like a burning fire. Consider this analogy. Once a spark catches, several chemical and physical changes occur. The fuel (data) is processed while heat (or data outcomes) is simultaneously emitted. Once the process of data streaming begins, it is seamless and very efficient. The process will continue to be efficient as long as data is fed into the system.[read more]

How Big Data Enables Hyper-Local Real-Time Weather Forecasting

August 21, 2014 by Mark van Rijmenam

Weather forecasting.

Accurate weather predictions are very important for economic activities and with more extreme weather conditions happening, knowing what to expect could save a lot of money, and lives. Such hyper-local real-time weather forecasting is becoming more common every day.[read more]

Supply Chain Business Intelligence Is More Than Just Technology

August 20, 2014 by Ray Major

Supply chain BI.

Interestingly the technology implementation requires the most hard dollar costs, and returns the least in terms of ROI. The real value in Holistic BI is in garnering the corporate buy in or, in other words, training the people to make better data-driven business decisions based on the data.[read more]

Similarities and Differences Between Predictive Analytics and Business Intelligence

August 12, 2014 by Dean Abbott

Predictive analytics vs. BI.

BI and PA are important but complementary disciplines. BI is a much larger field and understandably so. PA is more of a specialty, but a specialty that is gaining visibility and recognition as an important skill set to have in any organization. Here’s to further collaboration in the future![read more]

From Human Screen to Machine: Predictive Analytics Helps Avoid a Major Point of Hiring Failure

August 11, 2014 by Mike Kennedy

Employees bring in revenue, rescue a customer, make your products, deliver goods, and sustain your profitability going forward. Identifying the right people, and avoiding the wrong ones, is an imperative to business sustainability. But how is initial candidate screening handled at your organization? Many employers take an approach that isn’t at all what we expected.[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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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]