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Trends and Outliers

TIBCO Spotfire's Business Intelligence Blog

Category Archives: Data Analytics Careers

04/16
2012

What Data Scientists Must Learn About Customers

generate customer insights1 What Data Scientists Must Learn About Customers2012 has been coined the year of the customer by experts in a number of industries.

Because of this, companies are striving to become more customer-centric in their approaches to business.

But companies that hope to improve business outcomes by tightening relationships with consumers must gain a deeper understanding about their customers from the multiple channels customers use to interact with them.

While social, web, mobile, and other sources of customer data can help companies develop richer views of their customers, data analysts who work with this data need to develop a greater understanding about what makes customers tick.

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02/10
2012

Gartner: How To Find, Develop and Retain Your Analytical Talent

handshake 150x150 Gartner: How To Find, Develop and Retain Your Analytical TalentThe shortage of analytical talent will be a major impediment for companies trying to build analytic capabilities, according to a report by research firm Gartner (@Gartner_inc).

To deal with that inevitability, organizations should define their needs and formulate strategic approaches to find, develop and retain analytical talent, according to the report.

But different organizations require different types of analytical talent to ensure they maximize their investments in analytical technologies and tools.

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12/06
2011

EMC Study: Data Scientists in Short Supply

EMC data scientists EMC Study: Data Scientists in Short SupplyWe mentioned yesterday that data scientists continue to be a trending topic on twitter. And if we’ve said it once, we’ve said it a thousand times (OK, a thousand may be an outlier in this case)—data scientist jobs are so hot, they’re sizzlin’.

And a study released this week by EMC Corp. (@EMCcorp) bears this out.

According to the EMC Data Science Study, there’s a “looming” shortage of data science professionals. In fact, 65% of the nearly 500 data scientist surveyed say they believe demand for data science talent will outpace the supply over the next five years. And most of them think companies are going to have to look to recent college grads to fill their data scientist jobs.

The fact is there’s been an explosion of digital data created by mobile sensors, social media, surveillance, medical imaging, smart grids and other technologies. There’s also been an increase in new tools to analyze all that data.

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12/05
2011

How BI and Data Analytics Professionals Used Twitter in November

Analytics and BI on Twitter How BI and Data Analytics Professionals Used Twitter in NovemberLast month was the month of the data scientist, Spotfire’s 4.0 release and much more on Twitter. Here’s your recap of how BI and data analytics professionals used Twitter in November. Let’s get started with the awards.

Data Scientists – Trending Topic

This month, we didn’t have any real contenders for “Best Twitter Handle” (although we’re always taking nominations related to data analytics and business intelligence), but we found a trending topic (that we’ve covered here) that needed to be shared – the role of the data scientist – James KobielusCiara Byrne (a tech writer), Alexander “Sandy” Chiang (editor of the Dashboard Insights blog) expound on the subject as does Forbes’ VentureTech reporter Nicole Perlroth, who brings us media mogul Tim O’Reilly’s top seven most powerful data scientists in November.

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10/20
2011

How to Become a Data Scientist

How to become a data scientist How to Become a Data Scientist

Steven Hillion, Vice President of Analytics at EMC Greenplum

OK, so remember when we told you data analyst jobs are hotter than hot? Or that by 2018,  as demand for data analysts continues to skyrocket, there won’t be enough qualified people to go around.

Well, turns out, we were on the right track.

According to an article in Forbes magazine, businesses are going to need data scientists to make sense of the mounds of data piled up from every direction, if they want to beat out their competitors. In fact, the skills of the data analyst are essential to the 21st century enterprise.

Dan Woods (@danwoodscito), the author of the Forbes piece, turned to Steven Hillion, vice president of analytics at EMC Greenplum, to get some insight into the importance of the role of the data scientist.

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10/11
2011

2012: The Year of Big Data in American Politics

data analytics and 2012 politics 2012: The Year of Big Data in American PoliticsGuess who has the hottest job in the 2012 presidential campaign … is it the chief campaign manager for President Obama, Mitt Romney, or any other GOP candidate?

Well, believe it or not, it’s the data mining scientist—or data analyst. No, really. It’s the person who’s responsible for sorting through tons (read terabytes) of big data to track voter behavior and figure out how they’ll vote, if they’ll donate to a particular campaign and whether they’ll try to persuade their nearest and dearest to vote for one candidate over another.

Traditionally, people running presidential campaigns have relyed on telephone polling to determine the collective will of the voters but that could all change during this presidential campaign. According to the blog, 2012 will be the year of big data in American politics—at least for President Barack Obama’s re-election campaign.

It seems the Obama for America campaign is hot on the trail of paid staffers, including analysts and data geniuses, to use their skills to make a real difference in his campaign to be a second-term president.

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09/30
2011

Top Data Analysts Must ‘Speak the Language of the Business’

data analysts must speak the language of business Top Data Analysts Must Speak the Language of the BusinessAnalytics professionals do best if they can succeed in three types of skills: technical, business thinking and “intangibles,” according to Kaiser Fung (@junkcharts), Vice President of Strategic Analytics at Sirius XM Radio, and the author of Numbers Rule Your World: The Hidden Influence of Probability and Statistics on Everything You Do.

Fung points out that business thinking – how to teach data analysts to talk to the business in language the business understands - is often the hardest to develop because colleges and grad schools (outside of business schools) just don’t teach it. For him, intangibles are the hardest to find, mainly because it’s impossible to gauge them in an interview.

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09/22
2011

The Key to Analytics Success: Savvy Analysts, Quality Data and Effective Tools

Competing on Data or Analytics 300x117 The Key to Analytics Success: Savvy Analysts, Quality Data and Effective Tools A recent Harvard Business Review blog suggests that successful analytics efforts are largely based on the quality and the uniqueness of the data that’s used and less dependent upon the people and programs that are used to make sense of the information. While the quality of the data that’s used is absolutely essential to achieving successful outcomes, what ultimately delivers superior results is a careful blending of the right data, tools, and people skills.

As data management continues to move closer to real-time execution, data quality issues remain top of mind for many practitioners. The ability for analysts to be able to make sense of this information quickly and make it applicable in business terms for key decision-makers is critical to helping business leaders act on relevant information quickly. In turn, these capabilities can help an organization to obtain a competitive edge, whether this involves identifying an emerging market opportunity ahead of industry rivals or discovering and reacting to the root causes of customer churn in a particular region.

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09/02
2011

The Data Analytics of Labor Day – Infographic

This weekend is considered the last blast of summer with millions traveling and millions of kids and teachers getting ready to hit the books next week.

Monday, millions of Americans will be off work in celebration of the 119th official Labor Day. The holiday actually dates back to 1882, but it took more than a decade to become a federal holiday.

In celebration of this day of rest, BBQ (the third most popular day behind July 4 and Memorial Day) and travel, we thought it would be fun to explore the data analytics of America’s labor force. In the following infographic, courtesy of CreditDonkey.com, you’ll see a breakdown of America’s most common jobs, the commutes we all endure and the average number of hours Americans clock to make a living.

In addition, you’ll see that the highest areas of job growth is in data analytics arena! Network systems and data communications analysts are expected to grow by 53% between 2006 and 2016 (see below).

Finally, hats off to our most popular profession – the 7.2 million American teachers. We salute you and wish you a pleasant school year.

labor day The Data Analytics of Labor Day   Infographic

Amanda Brandon
Spotfire Blogging Team

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08/19
2011

Are Data Analysts More Like Batman or Superman?

Are Data Analysts Like Batman or Superman Are Data Analysts More Like Batman or Superman?As we move into the tail end of summer, I figured it’s a good time for a Friday Afternoon Fun Post on superheroes. After all, as data analyst demand and salaries continue to climb, you are likely feeling like a superhero. The question is which one:  Batman or Superman?

Data Analysts are Like Batman

A blogger at the Business Intelligence Reporting Community, believes data analysts have a lot in common with the Caped Crusader because they do their best work in the shadows. And that’s where some feel data analysts are most powerful — behind the scenes.

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