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Big Data

How Big Data Centers Impact the Environment [INFOGRAPHIC]

April 9, 2014 by Mark van Rijmenam

Big data centers and the environment.

Big Data requires massive data centres to store all the data that we collectively generate. These data centres require a lot of electricity that has a big impact on the environment. So how do companies such as Microsoft, Amazon or Google ensure that their data centres are environmentally friendly?[read more]

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The Case for Using Data Virtualization for Big Data Analytics

April 8, 2014 by Rick Delgado

Data virtualization.

Analyzing big data is now an important part of business operations, and it requires significant time and resources to better understand and apply the solutions that big data offers. One developing technology that is greatly simplifying this process is virtualization, specifically data virtualization, which is allowing businesses in increase their value while turning big data analytics into an important enterprise tool.[read more]

NICE Delivers Customer Interactions with Next Generation Workforce Optimization

April 8, 2014 by Richard Snow

Customer interactions.

In my research of NICE Systems for several years I have remarked often that its biggest challenge is to integrate all the products that now make up its Customer Interaction Management suite. Through acquisitions, in-house development and partnerships, this suite has grown to include interaction recording, quality management, workforce management and many others.[read more]

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The Great Analytical Divide: Data Scientist vs. Value Architect

April 7, 2014 by Richard Boire

Left brain and/or right brain.

The challenge is this so-called divide between the two disciplines . In many cases, solutions are sub-optimal because there is minimal knowledge or understanding of what each role or discipline is intending to accomplish. Much discussion and material has been written about both these roles but the underlying challenge for many organizations is that there is still a knowledge gap between the two disciplines.[read more]

Cloudera Makes Hadoop a Big Player in Big Data

April 7, 2014 by Mark Smith

Big data analytics. 

Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop.[read more]

A Data-Centric Approach Will Lead To Customer Centricity

April 6, 2014 by Mark van Rijmenam

Customer centricity.

Combining data from social networks, the blogosphere, (online) surveys, click behaviour as well sales data, sensor data, public data and open data can help create detailed personas and micro segments to better know and target your customers and thus improve conversion and increase sales. Data is therefore the lifeblood of your organisation and the future of truly unique 1:1 customer experiences lies in data centricity.[read more]

How Text Mining Can Help Your Business Dig For Gold

April 5, 2014 by Seth Redmore

Text mining.

Your customers want to communicate with you. Humans communicate in a wide variety of ways – body language, eye movement, intonation of speech, hand gestures, use of color and clothing. There is no system on earth that can yet capture all of the wide bandwidth of communication that we all use, as we go through our days.[read more]

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Is Big Data Under Threat by New Internet Magna Carta?

April 1, 2014 by Bernard Marr

The Big Data Guru column.

Big data can deliver mouthwatering value to companies and society, but the NSA revelations about spying on people as well as allegations that large corporations are snooping on customers has tainted the reputation of big data analytics. A growing number of people are now calling for a new Magna Carta for big data, but would that spell the end of the big data movement or a new beginning?[read more]

Why Data Quality Is of Utmost Importance in Information-Centric Organisations

April 1, 2014 by Mark van Rijmenam

Data quality.

High quality data will lead to valuable information and insights for your organisation, but obtaining high quality data is easier said than done. Improving your data quality and sustaining a good quality data output should be at the centre of your Big Data Strategy.[read more]

The Virtues of Automating Reconciliation

March 31, 2014 by Robert Kugel

Automating reconciliation.

Automating reconciliation can be a first step in creating a virtuous cycle. Many executives in finance organizations would like to improve the performance of their department but face the challenge of finding the time to devote to such efforts. The staff time that can be saved through automation can be reinvested in finding the root causes of other issues that bog down the department and fixing them.[read more]

On Sharing Data

March 31, 2014 by MIKE20 Governance Association

Sharing data.

While security and privacy issues prevent sensitive data from being shared (e.g., customer data containing personal financial information or patient data containing personal health information), do you have access to data that would be more valuable if you shared it with the rest of your organization—or perhaps the rest of the world?[read more]

Google Flu Trends: Importance of Veracity, the 4th V in Big Data

March 30, 2014 by Harish Kotadia, Ph.D.

Google flu trends.

A lot has been written recently criticizing Goolge’s Flu Trends – a flu tracker service that predicts flu activity based on specific search terms using aggregated Google search data and estimates current flu activity around the world in near real-time. For more, read How does this work?[read more]

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How Your Hadoop Distribution Could Lose Your Data Forever

March 27, 2014 by Michele Nemschoff

Hadoop distribution could lose your data forever.

Relational database users have long depended on foundational protection techniques, such as data replication and snapshots. Today, both are also implemented in standard Hadoop architectures. Their method of application and effectiveness, however, is not the same across distributions.[read more]

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What the "Small Data" Revolution Means for Marketers

March 26, 2014 by Noah Jessop

Small data.

To hear the pundits tell it, Big Data is going to revolutionize everything we do as marketers. But Big Data can be expensive, cumbersome, and intimidating. It also isn’t always necessary. Small Data, on the other hand, is manageable. Small Data is simple. Small Data is, well, “small," and it can help marketers make huge strides towards sending more targeted, more personal communications to their prospects and customers.[read more]

The Big Data Era: How Should Consumers Deal With the New Definition of Privacy?

March 26, 2014 by Mark van Rijmenam

Online privacy.

Organisations like Google, Facebook and Amazon are building extensive profiles of you about who you are, what you have bought/liked/read and your preferences. This is nothing new, but has been around for years already. In exchange for ‘free’ services such as Gmail or Facebook, these organisations use the profiles to generate revenue.[read more]