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Enhancing Personalization Through Explicit User Feedback

May 3, 2016 by Huba Gaspar

A brief account of technologies, practices, and ongoing research that aim to employ "explicit user feedback" in creating enhanced personalized online experiences for users.[read more]

How to Increase the Amount of Text Data for Analysis

April 7, 2016 by Tom Anderson

How to Increase the Amount of Text Data for Analysis – Text Analytics Tips by GosiaIf you find yourself slightly disappointed by the quantity or quality of text comments provided by your respondents you are definitely not alone. This is a common problem especially when survey respondents are not compensated for their answers and...[read more]

Is this data alive through deep learning and intelligence?

March 21, 2016 by Bruce Robbins

I read a description of deep learning as, 'a powerful set of techniques for learning in neural networks', it also described neural networks as 'a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data'. Both are tools that can be applied to data to do all kinds of useful things such...[read more]

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No Time to Waste! 5 Essential Features for Your Information Intelligence Solution

February 29, 2016 by Luca Scagliarini

Strategic information analysis is one of the most important activities that your company can perform. The fruits of this labor, especially when consolidated throughout the organization, inform everything from marketing and innovation, to risk management activities. To achieve this level of performance, you’ll need more than a simple...[read more]

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3 Major Reasons VPN Can Improve Data Security

February 26, 2016 by Ryan Kh

Virtual Private Networks (VPNs) provide several protective features for both individuals and businesses; they provide a layer of privacy, a degree of anonymity, and a layer of security to all your web browsing actions, which could otherwise be publicly accessible. Depending on which VPN provider you go with, they can provide other advantages as well, such as allowing you to seem like you’re accessing data from another country.[read more]

Wise Practitioner – Predictive Workforce Analytics Interview Series: Lisa Disselkamp and Tristan Aubert at Deloitte

January 22, 2016 by Eric Siegel

In anticipation of their upcoming Predictive Analytics World for Workforce conference co-presentation, Predictive Analytics Unlocks Sustainable Cost Reduction In Hourly Workforce, we interviewed Lisa Disselkamp, Director at Deloitte, and Tristan Aubert, Senior Lisa Disslekamp imageConsultant – Advanced Analytics & Modeling at Deloitte.[read more]

Unintended Effects of Adblockers

January 18, 2016 by Brigg Patten

Nothing of quality in life is free. Most would agree with this statement. When it comes to the Internet, we have a wealth of knowledge available at our fingertips, information that would have required the investment time and money to acquire just a few short decades ago. In order for us to be able to maintain this availability, sometimes we have to pay a price.[read more]

Beginning Your Text Analytics Analysis Correctly

January 17, 2016 by Tom Anderson

At OdinText we’ve found that the best way to identify all key drivers in any analysis really, especially in customer experience management (including but not limited to KPI’s such as OSAT, Net Promoter Score, Likelihood to Return or other real behavior) is through a dual process combining a theory-driven (aka “top-down”) and a data-exploratory or data-driven approach (aka “bottom-up”).[read more]

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The Apocalypse of Abundance: 5 Steps to End the Insanity of Information Overload

October 8, 2015 by Luca Scagliarini
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If you're like many of the people I know, the things you once enjoyed most about the Internet now make you feel overwhelmed or even left behind because you can't keep up--there's simply too much of everything.[read more]

Content Analysis and the Internet of Things: Never Leave the Fridge Door Open Again?

July 29, 2015 by Luca Scagliarini

Things are changing. Our interactions with the devices we employ through our daily lives are becoming more focused on communication. This prognostication seems obvious—people do not communicate via data, systems do. Nor do people process like systems, we process like people.[read more]

Top 5 Data Science Masters Programs

June 4, 2015 by Sudhanshu Ahuja

Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 to 190,000 "people with deep analytic skills" as well as 1.5 million "managers and analysts with the know-how to use the analysis of big data to make effective decisions."[read more]

Digital Reasoning Goes Cognitive: CEO Tim Estes on Text, Knowledge, and Technology

April 13, 2015 by Seth Grimes

Tim Estes.

Digital Reasoning CEO Tim Estes sees cognitive computing -- data, applications, analytics, and machine learning algorithms -- as the providing the brains to drive global enterprises. Cognitive is a next computing paradigm, responding to demand for always-on, hyper-aware data technologies that scale from device form to the enterprise.[read more]

Are You Listening to Your Conversations?

March 11, 2015 by Andrew Lamrock

Conversations with customers.

Customers not only use the phone more frequently to contact a business, but also prefer it. From those millions of conversation, millions of words, how many are really listened to and really understood? Technology can make this difficult, but now with real-time conversation scanning, you can listen to and understand every single conversation across your business. It's data like you've never known.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[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]