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Big Data Anonymous: Ask Data Experts Your Burning Data Questions

April 27, 2015 by MJ Wesner

Ask data experts / shutterstock

We'd like to alert the Smart Data Collective community to a unique opportunity: the chance to ask a panel of internationally renowned data experts all your burning data questions. It's a part of the The Social Shake-Up, which we're hosting in Atlanta this June.[read more]

Who’s Hot in Analytics and Business Intelligence

April 24, 2015 by Tony Cosentino

Analytics and BI.

The Value Index analysis uncovered notable differences in how well products satisfy the business intelligence needs of employees working in a range of IT and business roles. Our analysis also found substantial variation in how products provide development, security and collaboration capabilities and role-based support for users. Thus, we caution that similar vendor scores should not be taken to imply that the packages evaluated are functionally identical or equally well suited for use by every organization or for a specific process.[read more]

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Learn from Carnegie Mellon’s School of Data Management Hard Knocks

April 23, 2015 by Jeff Brown

Big data error.

The school mistakenly sent acceptance emails to hundreds of hopefuls who applied to Carnegie Mellon’s prestigious Master of Science in Computer Science program. A few hours later, an email with a much different tone arrived in their inboxes. A school statement read: “This error was the result of serious mistakes in our process for generating acceptance letters.”[read more]

The Data Behind Democracy: Analytics and the 2015 UK General Election

April 23, 2015 by Richard Thelwell

UK general election.

The upcoming General Election is being lauded as the United Kingdom’s first truly data-driven vote, with the major political parties all using analytics to gain a strategic advantage over the opposition. But how will analytics affect the result come May 7th? How does a party go from Data, to Downing Street?[read more]

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A Better Way to Model Data

April 21, 2015 by Mark Hargraves

Data modeling.

Over 8 years ago, the Spider Schema Data Model was created to provide an easier way to model OLTP data into a supported OLAP data model with the advantages of the OLTP data model. Over the last 8 years this data model has been proven out and is: faster at data processing, uses less storage space, is more flexible, and provides full support for not only OLAP, but OLTP, and Big Data.[read more]

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The Road to (Customer) Success: The First Three Months

April 21, 2015 by Don MacLennan

Road to success.

Get started on the right foot! Though it is somewhat cliche, you should definitely keep this in mind when working with a new customer. The end of a positive sales campaign doesn’t mean the journey has ended; it simply marks the beginning of a new road, one that when approached correctly, will lead to customer success. An impactful road to customer success should follow these steps in the first three months.[read more]

Big Data Buzz or Big Data Fuzz?

April 16, 2015 by Ben Edge
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The buzzword Big Data has gathered an increasing amount of momentum over the last few years. In fact the number of organizations who have implemented a big data or data discovery solution has increased from 58% to 73% over the last two years. More and more organizations have innovated to include a big data offering in their portfolio in an attempt to grab a slice of the proverbial pie.[read more]

The Perils of Marketing Attribution

April 14, 2015 by Bill Franks

Marketing attribution.

One of the hottest topics in analytics today is marketing attribution. Attribution, for those unfamiliar, is the process of assigning credit to various marketing efforts when a sale is generated. In the modern world, this is no easy task. There are myriad ways to touch a customer today and the goal of attribution is to tease out the impact that each touch had in convincing you to make a purchase.[read more]

Digital Reasoning Goes Cognitive: CEO Tim Estes on Text, Knowledge, and Technology

April 13, 2015 by Seth Grimes

Tim Estes.

Digital Reasoning CEO Tim Estes sees cognitive computing -- data, applications, analytics, and machine learning algorithms -- as the providing the brains to drive global enterprises. Cognitive is a next computing paradigm, responding to demand for always-on, hyper-aware data technologies that scale from device form to the enterprise.[read more]

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How to Gain a Competitive Advantage with Big Data

April 12, 2015 by Jonathan Buckley

Competitive advantage.

Finding ways to outperform the competition is key to business success. That’s why innovation and creative strategies are always on the minds of organizations. However, finding ways to constantly perform isn’t easy, which is why more companies are turning to big data for the answers.[read more]

Intuitive Reasoning, Effective Analytics & Success: Lessons from Dr. Jonas Salk

April 11, 2015 by Mike Urbonas

Salk.

Just days away, April 14, 2015 will mark the 60th anniversary of the Salk Polio Vaccine. On that day in 1955, it was publicly announced that human trials confirmed Dr. Jonas Salk’s vaccine provided effective protection from the polio virus. By 1957, new polio cases fell by 90% from epidemic levels just five years earlier. A fascinating interview with Dr. Salk on the Academy of Achievement website sheds light on his key personal attributes and values - vital for success in any line of work. And the best analytic tools will play a leading role in fostering that success.[read more]

Not All Hadoop Users Drop ACID

April 8, 2015 by Paige Roberts

ACID.

Hadoop users have all had to give up ACID and settle for the new standard, BASE, as a general rule, but like so many things in the data wrangling industry, that’s changing fast. This may come as a shock to a lot of current Hadoop users and database users considering making the switch to Hadoop, but using Hadoop doesn’t mean you have to give up your ACID habit.[read more]

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How Big Data and Analytics Are Changing People Management Forever

April 7, 2015 by Bernard Marr

The Big Data Guru column.

Will employees resent analysis of their day-to-day activities? Some certainly will. But as I said before it will depend entirely on how it is implemented. In short, there are far more useful, and less provocative, uses for employee data collection and analysis, than enforcing discipline over who takes the most bathroom breaks.[read more]

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Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

March 31, 2015 by Sameer Nori

Telecommunication. 

Relational data warehouses served communications service providers well in the past, but it’s time to start thinking beyond columns and rows. Unstructured data will be the fuel that powers risk management and decision-making in the near future. And to use all sorts of data to its fullest potential, we need new ways of storing, accessing and analyzing that data.[read more]

From Social Listening and Social Media Analytics to Social Data Intelligence

March 27, 2015 by Julie Hong

Christophe Folschette.

The early adopters who first saw the value of social listening and analytics were all communications specialists and early pioneers in digital marketing. But almost overnight, the sector exploded and went mainstream, across management silos in enterprises large and small, traditional and new. The birth of the digital native confronted corporates with a new set of challenges, and opportunities.[read more]