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Big Data in Big Oil: The Amazing Ways Shell Uses Analytics to Drive Business Success

November 17, 2015 by Bernard Marr

The oil and gas industries are facing major challenges - the costs of extraction are rising and the turbulent state of international politics adds to the difficulties of exploration and drilling for new reserves. In the face of big problems, its key players are turning to Big Data in the hope of finding innovative solutions to these pressing issues.[read more]


Incisive Data That Makes Small Companies Grow

November 27, 2015 by Ryan Kidman

Data is changing the game, no matter what industry you’re talking about. Data gives entrepreneurs the ability to look at their business from 30,000 feet, viewing trends and problems in a way that has never before been possible. It’s a technique that recalls the height of Pointillism, that all but forgotten artistic movement by which artists produced amazing works, one tiny dot of ink at a time.[read more]

Top 6 Data Modeling Tools

November 27, 2015 by Zygimantas Jacikevicius

Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results.[read more]

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]


Compliance Could Be Your Selling Point

November 25, 2015 by Brad Thies

Compliance is a relative term, as every industry has its own rules and regulations. Healthcare has the Health Insurance Portability and Accountability Act, banking has the Dodd-Frank Wall Street Reform and Consumer Protection Act, and retail has the Payment Card Industry Data Security Standard.[read more]

The Hadoop Ecosystem: HDFS, Yarn, Hive, Pig, HBase and Growing

November 25, 2015 by Zygimantas Jacikevicius

Hadoop is the leading open-source software framework developed for scalable, reliable and distributed computing. With the world producing data in the zettabyte range there is a growing need for cheap, scalable, reliable and fast computing to process and make sense of all of this data. The underlying technology for Hadoop framework was created by Google as there was no software in the market that fit Google needs.[read more]

Know Your Data: Navigating the Data Complexity Matrix

November 25, 2015 by Eran Levy

Data environments are growing exponentially. IDC reports that compound annual growth in data through 2020 will be almost 50% per year. Not only is there more data, but there are more data sources. According to Ventana Research, 70% of organizations need to integrate more than 6 disparate data sources. At the same time, the value of unlocking that data and using it to make business decisions is also increasing.[read more]

Intelligent Transportation Systems for Midsized Cities

November 24, 2015 by Julie Hunt

When intelligent transportation systems are discussed, the focus is usually on mega-cities (populations of 10 million or more). But midsized cities (anywhere from 250,000 to 1 million people) face many of the same issues as larger cities, especially regarding forward-thinking planning for transportation systems. In fact, midsized cities are still a significant untapped market for intelligent transportation systems.[read more]

Top 5 Graph Visualisation Tools

November 24, 2015 by Zygimantas Jacikevicius

Data visualisation is the process of displaying data in visual formats such as charts, graphs or maps. This method is commonly used to grasp more meaning out of a snapshot of data which in other approaches might require sorting through piles of spreadsheets and great quantity of reports. With the amount of data growing rapidly it is more important than ever to interpret all of this information correctly and quickly to make well-informed business decisions.[read more]

Big Data Analytics: Unlock Breakthrough Results - Step 2

November 24, 2015 by James Parnitzke

This post is part of a larger series to provide a detailed set of steps you can take to unlock breakthrough results in Big Data Analytics. The simple use case used to illustrate this method will address the perplexing management challenge of platform and tool optimization. This step is used to identify the types and nature of the operating models used within the analytic community.[read more]


Data in Consumer Finance

November 23, 2015 by Konstantin Rabin

This article will explain you the current state of the data in the field of consumer finance, the major issues in it, what the alternative scenarios are and how it would look in the near future. While the banks are having access to top-notch information about their clients, they are often reluctant to benefit from it or let other companies to do so. However, this is already changing.[read more]


Changes We Can Expect as Big Data Analytics Takes Off

November 23, 2015 by Jonathan Buckley

We find ourselves in the midst of a surge in big data use. The number of businesses, organizations, and institutions now utilizing big data solutions has exploded in recent years, as has the amount of data collected. Some estimates put the total amount of data generated each day at 2.5 quintillion bytes! Such a number is hard to comprehend let alone make use of, and yet organizations have been eagerly adopting big data analytics for their ambitious goals.[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]