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Big Data

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]


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]


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]


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]

SAS Unifies Big Data for Business and IT

March 25, 2014 by Mark Smith

SAS unifies big data.

Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is SAS Institute.[read more]

How Can Big Data Influence Sports?

March 24, 2014 by Roman Vladimirov

Big data influences sports.

Data analytics can be applied to virtually anything from which information is collected, and what better outlet for advanced analytics than sports? Big data specialists can interpret player stats, records and other details to change the way any game is played, which may alter the world of sports in a number of ways.[read more]

Top Trends in Cloud Innovation

March 24, 2014 by Timo Elliott

Cloud innovation.

What do you find most interesting about current cloud trends? It’s the speed we can make changes. Eight years ago, it took five years to introduce a new innovation. Now when something changes in the market, we can course-correct every quarter. If a company needs to change its business model, they can tackle the problems with dedicated solutions within a quarter.[read more]


Protecting the World with Big Data

March 22, 2014 by Gil Allouche

Protecting the world with big data.

It’s hard to fathom how much data the military is collecting every minute. With numerous different missions being executed and troops scattered across the world, it’s obvious that the military has no problem collecting data. It does, however, face a bigger task when it comes to interpreting that data.[read more]