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Data Mining

How hotels are using data to generate new revenue

July 19, 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]

Soccer player predicted as the top rising star - back in November (video)

May 11, 2016 by Jure Rejec

Did you know that Big Data can help us predict who the future soccer stars will be? This is precisely what happened in Riyad Mahrez’s case, PFA Player of the Year, who has conquered the English Premier League with Leicester City.During last year’s Big Data Week Conference in London, Malta-based entrepreneur Valery Bollier correctly...[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]

Deep Learning and Context Based Intelligent Search

May 6, 2016 by Daniel Casarin

Enterprises have a treasure trove of content in the form of Word documents, pdfs, emails, text files etc . Finding valuable information in these unstructured data has always been difficult. Traditional enterprise search engines have always been about creating indexes for all the words or phrases in the documents and using it to search...[read more]

Is Data Science a Liberal Art?

April 25, 2016 by George Mount

In the sense that all science is a liberal art, yes.This week I read a great piece by Adam Weinberg, the president of Denison University, on his school’s initiatives to apply a liberal arts approach to data science.This is shocking to most, but why? Let’s diagram this phrase “data science” (English skills!). Data is information — let’s...[read more]

The Panama Papers- It’s all about the data!

April 8, 2016 by Jagadish Thaker

The Panama Papers has set an excellent example for the world about the importance of data science when it comes to analyzing big data. This leak makes us realize that appropriate approaches are needed to handle the challenges of data management for the present and the future.[read more]

The Standard Method of Performing Transposition

April 7, 2016 by Jim King

Sometimes the source data needs to be transposed before displaying it in the report. But cross table can only handle the most basic transposition. Most of the scenarios need to be dealt with using SQL, report script or Java script. Each way has its own trick with high degree of difficulty.  esProc supports dynamic scripting, order-...[read more]

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Current Events Are A Goldmine of Data: Here’s How to Get Ahead

March 22, 2016 by Daan Pepijn

It does not matter if you are in the healthcare, fashion, sports, or any other industry. Your market is affected by the buzz and excitement around certain events. It could be a new major social network, a new automation app, a Google algorithm update, or a cultural movement that affects the views of your market.Having adequate visibility...[read more]

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Companies Paint Colorful Picture with Big Data

March 21, 2016 by Jessica Oaks

Big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Here is how major brands utilize data.[read more]

How Hadoop Revolutionised IT

March 5, 2016 by Martyn Jones

This is the story of how the amazing Hadoop ecosphere revolutionised IT. If you enjoy it then consider joining The Big Data Contrarians.Before the advent of Hadoop and its ecosphere, the IT was a desperate wasteland of failed opportunities, archaic technology and broken promises.In the dark Cambrian days of bits, mercury delay lines and...[read more]

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Solve Data Issues with Cloud Database Management Systems

March 3, 2016 by Jenny Richards

There are several cloud database management systems that have been developed for the purpose of storage and analysis of both relational and non-relational types of data.[read more]