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Sentiment Analytics

Quality vs Quantity in Customer Service Analytics

October 27, 2016 by Eran Levy

Business intelligence and analytics are used across a wide variety of industries to improve operational efficiency and business processes. However, when analyzing any type of data, it’s important to know what you’re looking for. Let’s look at a recent example from the customer service industry to understand this concept.The Business...[read more]

4 Customer Retention Metrics for Data-Driven Ecommerce

September 21, 2016 by Eran Levy

Running an eCommerce business is a challenging task. In addition to managing a huge scale of shipments and vendors, there are frequently multiple channels to manage as well. Those channels could include Amazon, eBay, Google Store, Rakuten, Alibaba, Etsy, as well as a self-managed website.One aspect that can have a major impact on your...[read more]

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Emotions: The Next (but not new) Frontier in Artificial Intelligence & Cognitive Computing

May 10, 2016 by Luca Scagliarini

How you “feel” has never been more important in tech. This year, a number of companies are showing an interest in emotions. We’ve always believed in the value of a deeper understanding of text. While meaning and context can tell us so much, we’re leaving a lot of valuable information on the table if we’re not looking at one of the key things that makes us human.[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]

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]

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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]

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Redefining Loyalty Programs with Big Data and Hadoop

June 11, 2015 by Dave Mendle

A loyalty program should not be about points, rewards, or status. While these perks may attract consumers, they don’t foster loyalty. The focus of these programs should be to collect useful data that can be used to build relationships that benefit both the consumer and the brand.[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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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]

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

October 1, 2014 by Sameer Nori
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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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Big Data: Making an Impact at the Post Office

August 13, 2014 by Gil Allouche

Postal truck.

While the USPS is struggling, big data is exploding. The technology is taking significant steps forward at an extremely rapid pace, making it more and more enticing to numerous different sectors. Big data analytics is becoming especially important because of the speed and accuracy with which the analyses can be performed.[read more]