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Data Visualization

Is Your Company Ready to Deploy Business Intelligence Intelligently?

April 22, 2014 by Ray Major

Ready to deploy BI?

Although the majority of data-driven enterprises may have or use BI software or systems, a recent survey we took of IT executives revealed that there is a vast difference between having BI and using BI to the company’s full advantage. There is an even larger chasm between the cost to implement BI and the value realized from those efforts.[read more]

Forget Big Data, We Need Smart Data [VIDEO]

April 14, 2014 by Lachlan James

BI.TV

The interactive portion of this episode directs your attention towards two thought-provoking discussions taking place on LinkedIn. The first conversation was instigated by the question “Why do BI implementations fail?” and can be found on the Business Intelligence Professionals Group.[read more]

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A Complete Guide to Overcoming Executives’ Concerns about Hadoop

April 13, 2014 by Michele Nemschoff
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Overcoming executives’ concerns about Hadoop.

CEOs are often critical of adopting new technology, and for good reason. New technology is expensive and all too often fails to come through and offer any real value to the company. This could present a challenge for IT managers who want to implement Apache Hadoop, the increasingly popular and cost-effective framework for large-scale, data-intensive deployments, into the company’s technology infrastructure.[read more]

Defining Business Intelligence 3.0

April 11, 2014 by Lachlan James

Business intelligence 3.0.

So what exactly is Business Intelligence 3.0? Is it a mass of meaningless marketing messages, a collection of multiple BI advancements, or does it represent a single technological shift that many have misconstrued? Well, according to Bill Cabiro, it’s none of the above. Cabiro contends that BI 3.0 represents two things: A changing philosophy regarding BI user types and an amalgamation, or confusion, of terms.[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]

Analyze Data with Bubble Plots in SAS Visual Analytics

March 11, 2014 by Stephen Overton

Bubble plots.

Bubble plots, also known as Bubble Charts, are great for analyzing multiple axis of data in SAS Visual Analytics. This is very useful when analyzing cause and effect relationships over time or when trying to visually find correlations between numeric measures.[read more]

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6 Simple Steps to a Big Data Strategy

March 5, 2014 by Bernard Marr

The Big Data Guru column.

We now live in a world in which the volumes of data are exploding by the second. While some companies are leveraging these data assets very well to generate mouth-watering competitive advantages, most are completely overwhelmed by the amounts of data they are generating and are simply scratching the surface of the other, external data they could use.[read more]

7 Important Types of Big Data

February 26, 2014 by Michele Nemschoff
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Types of big data.

Big data is a term thrown around in a lot of articles, and for those who understand what big data means that is fine, but for those struggling to understand exactly what big data is, it can get frustrating. There are several definitions of big data as it is frequently used as an all-encompassing term for everything from actual data sets to big data technology and big data analytics.[read more]

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Sales Pipeline Management Dos and Don'ts

February 4, 2014 by Thomas Oriol
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Sales pipeline management.

There are lots of sales methodologies in the market. As the makers of award-winning sales pipeline analysis and forecasting application SalesClic, we are familiar with most of them. Here are, distilled in a list of dos and don’ts, their main prescriptions.[read more]

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How MapR’s M7 Platform Improves NoSQL and Hadoop

January 31, 2014 by Michele Nemschoff

MapR’s M7 platform.

M7 removes the trade-offs organizations typically face when looking to deploy a NoSQL solution. Here’s a look at how the M7 platform is making NoSQL and Hadoop easier, faster and more dependable. Since enterprises already have several disparate data systems, having the ability to unify NoSQL and Hadoop under a single scalable cluster eliminates data silos and provides administrative simplicity.[read more]

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8 Features of a True Enterprise-Grade Platform for Hadoop and NoSQL

January 30, 2014 by Michele Nemschoff

True enterprise-grade platform for Hadoop and NoSQL.

Businesses have several options when looking for a Hadoop and NoSQL solution. The advantage of using the right enterprise-grade solution is that it can provide the dependability, ease-of-use, and speed required for real production use.[read more]

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7 Ways Businesses are Leveraging Hadoop

January 25, 2014 by Michele Nemschoff

Leveraging Hadoop.

When you hear about Hadoop or Big Data, you probably think of large Internet companies, such as Google or Facebook. However, the use of Hadoop is not limited to large search engines or even Internet marketing. Take a look at seven striking examples of how businesses across many industries are leveraging Hadoop to reach multiple business goals.[read more]

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Can Big Data and Hadoop Feed the World?

January 24, 2014 by Michele Nemschoff

Feed the world.

It’s no secret that the world’s population is growing. In fact, by 2050 the world’s total population is expected to reach the 9 billion mark, and according to the United Nations’ Food and Agriculture Organization, food production needs to increase by 60 percent by 2050 in order to keep up with population growth.[read more]

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3 Reasons Hadoop is Heading to the Cloud

January 9, 2014 by Michele Nemschoff

Hadoop is heading to the cloud.

Cloud computing and big data have been vying for the attention of business owners for several years now. Both initiatives are compelling, as big data analytics promises the potential of powerful new business insights, and cloud computing offers greater flexibility, productivity and cost-savings in running IT systems traditional on-premise systems.[read more]

The Awesome Ways Big Data Is Used Today to Change Our World [VIDEO]

December 3, 2013 by Lachlan James

BI.TV, your vendor agnostic fortnightly recap of global Bi and analytics news.

Episode 10 of BI.TV explores a range of prominent topics and new research reports within the business analytics industry: From the practical ways in which Big Data Analytics are already being used to change the world around us, tips for making BI programs more efficient in order to maximize ROI.[read more]