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Analytics

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The Buck Stops with the Banks: How Streaming Analytics Detects Fraud and Keeps Customers Happy

October 31, 2014 by Dale Skeen

The buck stops here.

The huge cyber-attack wielded on JP Morgan Chase has affected more than 83 million households and businesses, and it’s widely believed that up to nine additional financial institutions were also infiltrated by the same hackers. The JP Morgan hackers delved deep into the bank’s digital networks, gaining access to names, home addresses, phone numbers, and email addresses.[read more]

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6 Ways Big Data Hadoop Is Helping America Become Energy Independent

October 31, 2014 by Sameer Nori

Energy.

Hadoop is a significant aid in streamlining the oil and gas production industry, from testing and verifying potential drilling sites and oil extraction to ensuring equipment safety and minimizing environmental damage. Below are some specific Hadoop use cases in the oil and gas industry.[read more]

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How Governments Can (and Should) Use Hadoop

October 30, 2014 by Sameer Nori

Government and Hadoop.

While open record acts permit citizens to request data in a timely manner, the requested data is often scattered across several platforms. IT teams may have trouble locating and compiling all of it in a timely manner. Hadoop can improve efficiency and accountability by storing multiple data sets, retaining them for years, and combining them to meet specific data requests.[read more]

Forecasting: It’s What’s Hot in Supply Chain Analytics

October 29, 2014 by Ray Major

Supply chain analytics.

In the world of commerce, every business ecosystem has a type of supply chain that is critical to corporate operations. These supply chains rely on a network of plants and facilities to add value to and transform raw materials into a final product.[read more]

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Hadoop in Advertising: How Big Data Helps Make Smart Decisions

October 27, 2014 by Sameer Nori
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Advertising.

Data is, unquestionably, everywhere. Our computers, tablets, and mobile phones, our social media conversations, likes and follows, the emails we opt in to and those we open or delete, provide a constant flow of information. What do we like? What do we want? And, what services might we need?[read more]

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4 Ways Hadoop Is Improving Our Healthcare System

October 24, 2014 by Sameer Nori

Hadoop in healthcare.

With new medical advances every day, it’s no surprise that the healthcare field has a bold new technology that allows doctors and researchers to more easily access and learn about diseases, treatments, and cures. This technology, Apache Hadoop, is a big data storage and processing platform that gives healthcare providers the ability to effectively use much more data than has ever been possible.[read more]

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3 Tips to Make You a Genius Forecaster

October 13, 2014 by Paul Barsch
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Forecasting is hard, and even those who sometimes get it right, often fail on a continuous basis. But fear not, there are three steps you can take to drastically improve your forecast accuracy, but you’ll have to be willing to put in the work, and possibly put your ego aside to get there.[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]

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]

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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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]

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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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 2, 2014 by Sameer Nori

Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[read more]

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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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