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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]

SAP HANA Brings ROI of More Than 500% for the University of Kentucky

April 14, 2014 by Timo Elliott

SAP HANA brings ROI.

“The university believes that SAP HANA will help it realize other benefits, such as improved staff utilization rates, efficiencies in budgeting, and even revenue-producing mobile applications, although this study has not quantified these potential benefits because they are less near term in nature.”[read more]

The Great Debate: SAS vs. R

April 14, 2014 by Linda Burtch

SAS vs. R.

Despite hearing more about R from clients and candidates than ever before, determining whether R was actually more popular than SAS proved difficult. A quick Google search for “R vs. SAS” returns more than a few pages dedicated to each side, as well as several heated LinkedIn discussions relating to the topic, with no definitive answers.[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]

When Machine Learning Isn’t Learning

April 12, 2014 by Bill Franks
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When machine learning isn’t learning.

I have no issue if the market wants to label algorithms that are based on iterative rules as machine learning. I do wonder, however, how many people are just following the hype and do not understand that what they think is an algorithm that is learning and adapting is really just a set of complex rules.[read more]

No, Hadoop Is Not Going To Replace Your Data Warehouse

April 11, 2014 by Timo Elliott

Hadoop and your data warehouse.

The real opportunity of new technologies like Hadoop and In-Memory processing is to enable new, more flexible, analytics-focused, actionable applications. And that takes much more than just a platform. Organizations want best-practice business applications capable of analyzing big data and putting it in the hands of people on the front line of your organization that need it, via cloud and mobile devices.[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]

A Look Into How Data Centers Actually Work [INFOGRAPHIC]

April 11, 2014 by Mark van Rijmenam

How data centers work.

Everything on the Internet has a home and these homes are typically built in the U.S. There are many data centers in the U.S. and they are the backbone that keeps the Internet, Internet of Things and Industrial Internet running. Of course, they can also be expensive, complex, and often polluting to the environment they’re in.[read more]

Technology Spending Puts Focus on BI

April 10, 2014 by Roman Vladimirov

Focus on BI.

It's no secret that technology is becoming a bigger part of business across nearly every industry, and companies are wising up to this growing trend. A recent report from the International Data Corporation examined technology spending across 12 different segments in the United States between 2012 and 2017.[read more]

Equifax Delivers Insightful Analytics for Compliance with Affordable Care Act

April 10, 2014 by Mark Smith

Insightful analytics.

Equifax is dedicating itself to the range of compliance needs to help employers be sure they are doing everything possible to meet their responsibilities regarding regulations like the Affordable Care Act. If your organization is not confident in how it manages these tasks, we suggest evaluating how Equifax can help it establish and maintain compliance.[read more]

What the Internet of Things Means for Physical Industries [VIDEO]

April 10, 2014 by Mark van Rijmenam

The extension of the Internet to the physical world is a huge step forward and in this video Michael Mandel, chief economic strategist at the Progressive Policy Institute, talks about what this will mean for us. He explains that “the Internet has transformed digital industries, while the Internet of Things will transform physical industries.[read more]

What Makes Effective Business Intelligence?

April 9, 2014 by Roman Vladimirov

Effective business intelligence.

Business intelligence can help companies align their marketing, sales and other strategies to better benefit the operation and growth of the business. As technology advances, the options for business intelligence have grown and changed and will continue to adapt to the needs of businesses.[read more]

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]

Analytics Revolution: Why the Struggle for Growth?

April 9, 2014 by Naagesh Padmanaban

Growth.

Big data or new modeling techniques by themselves would not produce a disruptive innovation. The marriage of cutting edge technology and the resulting new innovative analytical techniques that can scale is the winning recipe. This is a keystone for success in analytics practice, yet conspicuous by its absence.[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]

Low Latency a High Priority When Choosing a Data Center Location

April 8, 2014 by Rachel McAree

Low latency data center location.

Conventional wisdom about network technology dictates that data centers have to be located close to whatever application or user base they’re serving to achieve low latency and ensure applications work correctly. Based on the simple realities of physics – information that travels along fiber optic cables can still travel no faster than the speed of light – distance between a data center and the end user does have a tangible effect on latency.[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]

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Gliding through Traffic with Big Data

April 7, 2014 by Gil Allouche

Traffic and big data.

A string of needless red lights and another late arrival at work. We’ve all been the victim of too many red lights. To combat the traffic problem, cities around the world are looking to Big Data and services like Hadoop Cloud, to monitor, evaluate and effect changes in real-time to affected areas.[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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Cloud Computing Trends and Latest Stats

April 3, 2014 by Mike Solomonov

Cloud computing.

Cloud hosting provides organizations with virtual IT services from around the world, with no hardware, installation, or maintenance costs. The services are remotely managed and provided by a cloud hosting provider or dedicated 3rd party that is committed to keeping them available when necessary.[read more]

Cloud Security Concerns Persist in Healthcare Field: Data Is More Secure With Cloud Hosting Provider

April 3, 2014 by Thu Pham

Safe cloud.

When the Ponemon Institute’s fourth annual Benchmark Study on Patient Privacy & Data Security was released earlier this month, it stated that use of cloud services is the second-highest security risk concern for healthcare organizations. Employee negligence was the runaway winner in that category, mentioned by 75 percent of leaders interviewed for the study.[read more]

What You Need to Know About Cloud Analytics

April 3, 2014 by Timo Elliott

Cloud analytics.

What will tip people towards using more cloud analytics? Let’s start with the elephant in the room. Where do you keep your own worldly wealth? Do you keep your money at home under the mattress? No — because you know that banks are more secure, cheaper, and more convenient.[read more]

How Not to Screw Up Your Data Center Move

April 2, 2014 by Rachel McAree

Your data center move.

It’s usually an inevitable fact: a company will do a once-in-a-career move: they will move their data to a data center. NOTE: This move is going to be disruptive, you and your company will experience downtime, it’s a perilous journey and things can a go wrong.[read more]

The Wu-Tang Effect: Innovation in the Entertainment Industry

April 2, 2014 by Mark Cameron

What Wu-Tang is doing to reach its audience.

Few industries have experienced more disruption from the advancement in digital technology than the entertainment industry. From the moment the peer-to-peer music sharing service Napster came onto the scene in 1999 the writing was on the wall for the existing business models of the music, film and television industries[read more]

Technology Makes a Difference for Location Analytics

April 2, 2014 by Mark Smith

Location analytics.

Our latest benchmark research into the market for location analytics software finds significant demand for location-related technology that can improve business outcomes and generate relevant information for various types of users. Location analytics is an extension of business analytics that can enhance the sophistication of data and processes by adding a geographic context.[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]