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Data Mining

The Alibaba, Amazon, and eBay Way to Black Friday Success

November 23, 2016 by Eran Levy

On Black Friday in 2015, online shoppers spent an estimated $2.7 billion. So, when do you think the big E-guys start to prepare for Black Friday? Here’s one hint: e-commerce sales on Thanksgiving Day, 2015, already totaled $1.73 billion (Adobe Digital Index figures.) Here’s another hint. The National Retail Federation recently stated...[read more]

Shedding Light on Dark Data: How to Get Started

November 17, 2016 by Tom Anderson

Move over Big Data. There’s a new buzzword: dark data.It’s actually not so new—Gartner coined the term a couple years back—but dark data is finally starting to catch on in market research circles and it represents a huge untapped opportunity for insights!Gartner defined dark data as “the information assets organizations collect, process...[read more]

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Want to Fully Leverage Data? Change the Way You Operate

November 9, 2016 by Rado Kotorov

We’re on the edge of a paradigm shift in the way organizations operate–and rightfully so. New technologies are developed daily and will only contribute to even larger volumes of information. To take advantage of the value data holds, enterprises need different skill-sets, decision-making structures and a new lens for evaluating business challenges.[read more]

Expanding the Data Stream

November 7, 2016 by Ron Bisio

A skillful blend of people and technology can provide valuable data for GIS[read more]

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How will Analytics and the Internet of Things Influence Marketing in Coming Years?

October 24, 2016 by Philip Piletic

The Internet of Things (IoT) is defined as the increased interconnectivity between all devices capable of using wireless communication technology. It's estimated that by the year 2020, there will be between 50 and 75 billion devices connected to the internet worldwide. Where there's connectivity, there's information. And smart people know how to turn information into profit.[read more]

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The True Vision of Big Data in Healthcare

October 19, 2016 by Jared Jaureguy
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From the impact of wearable technology to the potential for boosting cancer research, there’s been a lot of buzz about big data in the healthcare space. However, the true vision of big data in healthcare lies not in individual data collection or disparate applications, but in the potential of combining healthcare data to create new...[read more]

Companies encountering a data engineering talent vacuum

September 29, 2016 by CIO Dive

This post originally appears on our sister publication, CIO Dive. Our mission is to provide busy professionals like you with a bird's-eye-view of the Information Technology industry in 60 seconds. To subscribe to our daily newsletter click here.Dive Brief:Demand for data engineers is growing faster than demand for data scientists,...[read more]

BI Meets Machine Learning and the Internet of Me

September 27, 2016 by Eran Levy

The Internet of Things Gets Hyper-PersonalWith any new technology, the hype tends to reach unbearable volumes far before anyone can point to tangible business benefits. But when it comes to the IoT, it is quickly becoming a force that affects our everyday lives – albeit we might not be completely aware of it. I am referring to a...[read more]

Leveraging the Power of Big Data in Community Pharmacies

September 16, 2016 by Andrew Armstrong
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The community pharmacy is responsible for assisting local residents with their health and well-being. Facing increasing competition from online service providers, learn how local pharmacies are leveraging the power of Big Data to better understand their customer's needs, improve customer loyalty, and manage product inventory more efficiently.[read more]

Four Really Real Meanings of Real-Time

August 22, 2016 by Paige Roberts

Our director of engineering told me that she had a customer ask if we could do real-time data processing with Syncsort DMX-h. Knowing that real-time means different things to different people, the engineer asked what exactly the customer meant by real-time. He said, “We want to be able to move our data out of the database and into...[read more]

How hotels are using data to generate new revenue

July 18, 2016 by Mark Ross-Smith
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Hotel revenue management and use of analytics for room sales has remained largely unchanged for decades since the early 1980s when hotels started looking at yield and how they could optimize the revenue each room could generate. By the mid-1990’s, Marriott’s successful execution of revenue management strategies were adding between $...[read more]

Why a CMMS is Your Best Choice for Managing Big Data

June 15, 2016 by Lindsey Walker

Today’s managers depend a great deal on their data to make informed decisions. The analysis of data gathered from the different activities of a company’s departments help its managers make decisions that are designed to improve efficiency and deliver greater savings on cost.[read more]

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Big Data and Social Marketing – A Match Made in Heaven

June 3, 2016 by Rehan Sheikh
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Many advertisers are turning to social media over other advertising channels. According to research from Invesp and AdWeek, brands are expected to spend $15 billion on social advertising in 2018.Some social media sites are taking advantage of big data to offer better services to their advertisers. As a result, demand for social...[read more]

Apache Spark and Hadoop: The best big data solution for enterprises

June 1, 2016 by Jagadish Thaker

The term big data has become the center of attention for enterprises. In the past, business decisions have been made on the basis of transactional data stored in relational databases. This is known as traditional data, which is in structured form and easy to analyze for getting business insights.Apart from this critical business data,...[read more]

Big Data and Day Trading: The Good, the Bad, the Ugly.

May 30, 2016 by George Mount

Read more and subscribe at georgejmount.com These days, I can’t check my LinkedIn without seeing something about data science. Everybody’s on CodeAcademy and Coursera, dreaming of that sexiest of job titles: “Data scientist.”I’m all for making data an asset, but I see some troubling comparisons between big data and the day trading...[read more]