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Data Mining

Using Big Data to Track and Measure Emotion

November 27, 2015 by Andrew Lamrock

In June, Forrester’s researcher Megan Burns caused a bit of a stir during New York Forrester’s Forum For Customer Experience Professionals proclaiming, that among the three customer experience dimensions – ease, effectiveness, and emotion, the last one plays the biggest role.[read more]


Powering Personalized Medicine with Hadoop and Apache Spark

November 23, 2015 by Jim Scott

The Obama administration plans to dedicate $215 million in the 2016 budget to the “Precision Medicine Initiative.” This project centers on the collection and analysis of data from a projected million volunteers. Funding includes $130 million for the National Institutes of Health (NIH) to collect the data for analysis; $10 million to the U.S. Food and Drug Administration (FDA) to architect databases; and $5 million to protect the privacy of the collected data.[read more]


How to Use Big Data to Improve Your Website’s SEO

November 5, 2015 by Abdullahi Muhammed

You already know you should follow SEO best practices to stay ahead of your competitors. Here are ways to use Big Data to improve your website’s SEO.[read more]


Handling the Information Overload in Marketing With Big Data

November 5, 2015 by Anand Srinivasan

A recent poll among CMOs of a number of large organizations showed that over 70 percent of those surveyed felt ill-equipped to deal with the data coming at them from all directions.[read more]

How to Do Data Analytic: A 101 Crash Course for CEOs

October 28, 2015 by Andrew Lamrock

You want to join the competitors and start analysing your data, but think it’s too late to ask the basic questions? Worry not, this short compendium will guide you through the basics of data adoption for your company.[read more]

Not Seeing the Results of Big Data? Maybe You Have a Lot of Data, Not Big Data

October 13, 2015 by Xander Schofield

Big data, everyone wants it, and most think they have it. But what you may have is simply a large quantity of data, not big data. Learn the difference and learn how to leverage both.[read more]

From Master Data to Master Graph

October 6, 2015 by Peter Perera

Today’s CRM and Master Data Management (MDM) technologies don’t enable complete customer knowledge. In fact, they unwittingly turn customer focus into customer tunnel vision. We need an epistemic graph database - a context-aware master graph - to make possible richer, fuller customer stories and expanded 360-degree views for total awareness.[read more]

An Introduction to ElasticSearch

September 28, 2015 by Zygimantas Jacikevicius

Search engines are now an integral part of people’s everyday lives. We are used to having access to information at the click of a button. However we rarely think how much work goes into this ability to search for information. Search engine software has become extremely advanced in recent years, now using complex algorithms to provide the most relevant information with predictive search and search suggestion capabilities.[read more]


Apache Spark Use Cases

September 28, 2015 by Jim Scott

Sure, Apache Spark looks cool, but does it live up to the hype? Is there anything you can actually do with it? Actually, there are some pretty cool use cases going on right now.[read more]


Game-Changing Real-time Uses for Apache Spark

September 23, 2015 by Jim Scott

Apache Spark, hosted on Hadoop, is great for processing large amounts of data quickly, but wouldn’t it be even better if you could process data in real time? If your business depends on making decisions quickly, you should definitely consider the MapR distribution, which includes the complete Spark stack including Spark Streaming.[read more]

Forecast Product Demand with Confidence

September 9, 2015 by Keith Peterson

Is your company using demand forecasting in your planning process? And are you happy with those results? Based on our interviews with hundreds of companies worldwide, we have found that among midsize manufacturers and distributors, many still use error prone spreadsheets or forecast based on historical sales data.[read more]

Managing Big Data Integration and Security with Hadoop

September 2, 2015 by Jason Parms

An open-source framework like Hadoop offers endless possibilities for development, and with a strong management group like Apache Systems behind it, one can expect increasing numbers of modules and technologies to integrate with Hadoop to enable your business to achieve its Big Data goals – and maybe even go significantly beyond what you can envision today.[read more]

Automate the Boring But Essential Parts of Your Data Warehouse

August 12, 2015 by Keith Peterson

To deliver on your company’s future demands for data and insights, you will need to maintain your existing data warehouse – and add the great new capabilities available with big data management and in-memory analytics. The real opportunity is in making those technologies work together smoothly with minimum effort and risk.[read more]

Challenges of Working with Big Data: Beyond the 3Vs

July 16, 2015 by Venky Ganti

Among many challenges in working with big data, the 3V’s (Volume, Velocity, and Variety) have gotten a lot of attention. Googling yields many results worth reading. Almost all of these focus on technological challenges in managing and processing big data. In this post, I would like to highlight a different set issues that make working with big data challenging, even if the underlying infrastructure is admirably able to handle all three V’s.[read more]


Demystifying Self-Service Data and the Future of Business Intelligence

July 1, 2015 by Marius Moscovici

Users can’t afford to send requests and wait days or weeks for a report that could already be outdated. To get the most out of the data your company collects, relevant data points need to be available to all business users when they need it.[read more]