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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]

Text Analytics vs. Other Research Methods [VIDEO]

August 19, 2014 by Tom Anderson

Text analytics.

We believe that Text Analytics is important not just because of its implications within market research or any kind of research for that matter, but because of its value across so many other disciplines as well. All of the marketing research techniques represented in the debate are useful of course, and text analytics can be an aid in every single case.[read more]

Why Sentiment Analysis Engines Need Customization

August 6, 2014 by Scott Van Boeyen

Sentiment analysis engines.

There was a time, not too long ago, when the general population would have bet their life savings that flying cars and human-like robots would exist by the year 2014. There are definitely no flying cars, and robots aren't exactly how we pictured them. However, we do have artificial intelligence that can understand what people are saying.[read more]

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The Amazing Ways Big Data Is Now Used in HR

July 22, 2014 by Bernard Marr

The Big Data Guru column.

Employees are a both a business’s greatest asset and its greatest expense. One company offering unique solutions to help others tackle this challenge is Evolv, and in this post I will have a look at what they do, and why it’s an important – but controversial - example of big data analysis driving business growth.[read more]

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Banking on Hadoop: 7 Use Cases for Hadoop in Finance

July 20, 2014 by Michele Nemschoff

Finance. 

The bottom line is that all enterprises, especially financial firms, need to use big data and Hadoop technologies to their fullest potential now, particularly with the overwhelming amount of data and transactions amassed on a daily basis In order to remain competitive and maintain current customers while attracting new ones, financial firms should start planning to utilize big data.[read more]

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The Impact of Big Data on Linguistics

July 9, 2014 by Gil Allouche

Big data and linguistics.

Linguistics is an area that is constantly changing from one day to the next. There’s no stopping the evolution of language, and with the web and social media the speed at which it’s evolving has increased dramatically. There are so many contributing factors to language that impact how and when it changes that it can be extremely difficult to track and completely understand what about the language is changing and why it’s changing.[read more]

Combining Text Analytics with Voice-to-Text

June 19, 2014 by Rami Nuseir

Text analytics with voice-to-text.

What if, every time anyone gave you an opinion, it was recorded and transcribed with voice-to-text technology? Then the transcription was subsequently analyzed with text analytics software, and the results were sent back to you? That would be amazing.[read more]

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How Big Data Will Change Marketing Forever

June 17, 2014 by Bernard Marr
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The Big Data Guru column.

Companies have been collecting data on us for decades, but since we all went online - and in particular since we got social online - the amount we give away about ourselves and the number of ways a business can exploit that information, have exploded.[read more]

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WOW! Big Data at Google

June 3, 2014 by Bernard Marr

The Big Data Guru column.

Google has not only significantly influenced the way we can now analyze big data (think MapReduce, BigQuery, etc.) – but they probably are more responsible than anyone else for making it part of our everyday lives. I believe that many of the innovative things Google is doing today, most companies will do in years to come.[read more]

Why Text Analytics Is Important in Search

May 28, 2014 by Mekkin Bjarnadottir

Text analytics and search.

Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results don’t always deliver what you’re expecting.[read more]

Clarabridge Gets Engaged: A Report from the Customer Connections Conference

May 20, 2014 by Seth Grimes

The Customer Connections Conference.

The Clarabridge Customer Connections (C3) conference has gotten to be a thing for me. There can't be more than a handful of people, beyond company co-founder and CEO Sid Banerjee and me, who have attended all six C3s, dating back to the fall of 2008. 2014's Clarabridge C3 conference showcased the customer-experience evolution from measurement to engagement.[read more]

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Big Data, Analytics and Criminals

May 13, 2014 by Bernard Marr
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The Big Data Guru column.

To a criminal, life must have seemed so much simpler before the advent of big data. This post looks at how big data and analytics are used to fight crime. Video analytics, DNA analysis and face recognition systems are all new technologies that might help to eliminate crime as we know it.[read more]

That's Sick! Text Mining and Words with Multiple Definitions

May 5, 2014 by Scott Van Boeyen

Text mining.

Let's take a step back, how can humans tell which "sick" we are talking about? Humans get help from things like: body language, the tone of the communicator's voice, eye contact, facial expression, as well as cultural symbols like clothing, hair style, and location.[read more]

Analytics, Semantics & Sense: Q&A with Marie Wallace, IBM

May 2, 2014 by Seth Grimes
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Marie Wallace, IBM.

IBM analytics strategist Marie Wallace on about natural language processing, sentiment, machine learning, and opportunity. "Having spent the last several years focused on social analytics, its not going to be surprising when I suggest that the biggest piece of missing information isn't the content itself but the meta-data that connects various pieces of content into a cohesive story."[read more]