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Could Business Computing Be Done by Users Without Technical Experience?

May 18, 2013 by Jim King
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spreadsheet / shutterstock

Most business users have no IT experience. They can only rely on the business spreadsheet software to complete such computing. However, the traditional business spreadsheet software is weak in calculation, which will bring about errors in the calculation process.[read more]

Statistics vs. Data Science vs. BI

May 17, 2013 by David Smith
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Statistician's profile

As someone who trained as a statistician, I've always struggled with that title. I love the rigor and insight that Statistics brings to data analysis, but let's face it: Statistics — the name — has always had a bit of a branding problem. That's why I'm a fan of the term "data scientist."[read more]

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Do You Really Need a "Sexy" Data Scientist?

May 10, 2013 by Bernard Marr
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Data science: sexier than ever?

A recent Harvard Business Review article argues that being a data scientist is the sexiest job of the 21st century. Data scientists help companies turn their data (big data and small data) into valuable insights. But do the people who have the sexiest job of the 21st century have to be sexy?[read more]

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The Big Data Talent Shortage: Are H1-B Visa Holders the Solution?

May 9, 2013 by Todd Nevins
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Big Data jobs

It has been highly chronicled that the Big Data talent shortage is turning into a storm of epic proportions; the number of Big Data Analytics positions is expected to reach 4 million globally by 2015. So will H1-B visa holders be the solution to the Big Data talent shortage? Yes, if a few things happen.[read more]

The Big Data Scientist's Skillset

May 7, 2013 by Mark van Rijmenam
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Big Data Scientist / shutterstock

Yesterday we examined the skillset of a Big Data Analyst; today, let's take a look at what a good Big Data Scientist (aka "the sexiest job in the 21st century") has to be capable of doing. However, be forewarned: perhaps only a handful of big data scientists will have all skills as mentioned here.[read more]

The Big Data Analyst's Skillset

May 6, 2013 by Mark van Rijmenam
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Big Data analyst / shutterstock

A big data analyst needs to be able to support the business and management with clear and insightful analyses on the data at hand. This includes data mining skills, advanced modelling techniques, testing and creating and explaining results in clear and concise reports.[read more]

Salary Changes for Quant Workers: What Can You Expect?

May 4, 2013 by Linda Burtch
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Quant worker salary changes / shutterstock

Everyone knows careers in analytics are paying off, but just what kind of pay increase should you expect in switching roles? When evaluating salary change data over the past 18 months of nearly 200 candidates, I have seen both extremes and everything in between with base salary increases.[read more]

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PayPal Winning the Mobile Payments and Mobile Data Race

April 25, 2013 by Todd Nevins
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Paypal's mobile payments

PayPal is leading consumers and merchants into a "digital wallet" universe and extending their lead by announcing partnerships with NCR and Discover. PayPal has 15 years of dominating online purchases but even more impressive is that they processed over $14 billion in mobile payments 2012.[read more]

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Social Data and Mobile Diminishing the Significance of the Resume

April 20, 2013 by Todd Nevins
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social & mobile: the new resume

Although resumes still remain the gold standard of job hunting and applying to job postings, there is a shift happening. The access to Social Data that employers have is painting a much more accurate picture of candidates and is becoming the first "filter" in the evaluation process.[read more]

Will Big Data Mark the End of the Market Research Industry?

April 19, 2013 by Mark van Rijmenam
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big data & market research / shutterstock

Big data is disrupting the world, society and all industries, and it will mark the end of the market research industry as we know it. Unless they are able to adapt and pivot on time, the big data scientist will replace the market researcher, and this will happen faster than one might expect.[read more]

What Big Data Doesn't Appear to Tell Us, But Actually Does

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Everyone in business (from CXOs to entry-level employees) must realize the vast potential of the Big Data opportunity. New ways of thinking and addressing problems have arrived; they’re not just for early adopters. Start asking yourselves what we know, what we don’t, and how we can bridge that gap.[read more]

The Fundamental Techie

March 30, 2013 by Marjie Cota
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IT talent (image credit)

It’s a buyer’s market when it comes to top IT talent. The Society for Human Resource Management released survey results last year that confirmed what we already know: the high tech sector is finding it significantly harder to find the qualified workers they need.[read more]

Big Data: Where the Opportunities Are!

March 18, 2013 by Harish Kotadia, Ph.D.
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I am often asked which industries offer the best potential for application of a Big Data solution. Here is an excellent visualization on opportunities for Big Data across several industries prepared by Brett Sheppard based on Gartner Intelligence.[read more]

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Data Scientist Scarcity: Automation Is the Answer

March 17, 2013 by Radhika Subramanian
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The Data Scientist is being touted as the 21st century’s most attractive job. What’s more likely to happen as the decades progress is collaboration between Joe Data Scientist and powerful algorithms to solve big data challenges with automation.[read more]

Outsourcing Analytics vs. DIY: Tips for Executives

March 2, 2013 by Jason Goto
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If your organization has not yet embraced analytics, you may be wondering “What’s the best way to get started?” A key decision at the beginning is whether or not to bring in outside expertise to kick start the process, versus the traditional approach of recruiting an internal team.[read more]