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Trends and Outliers

TIBCO Spotfire's Business Intelligence Blog

Monthly Archives: December 2012

12/31
2012

The Year of Data + Top 5 Spotfire Blog Posts of 2012

Happy New Year! Just in time for 2013, we’re bringing you the best of our blog from the past year and a New Year’s infographic that we think wraps up the “year of data” quite nicely. It even includes a few memes (bet you can’t get “Gangnam Style” out of your head) and fun facts – on big data, of course – to share on your last work day of the year.

Also, don’t miss our our roundup of the most read posts on the Spotfire blog in 2012.

content 2012 infographic The Year of Data + Top 5 Spotfire Blog Posts of 2012

No. 5 – The 4 Biggest Problems with Big Data: Does big data cause big problems? It can when business leaders don’t recognize which data sets to draw upon and/or know which pressing business issues can be resolved using big data. This post takes a look at the challenges that are associated with big data and makes some key recommendations on how to overcome the four biggest problems with big data.

No. 4 – The Big Data Debate – Scientist vs. Analyst: Who doesn’t love a good debate? This post, which received a lot of comments, shows that you, our readers, love a lively discussion that’s centered around the role of analyst and what the Harvard Business Review calls the “sexiest job of the 21st century.” Read it over again and give us your take on whether the data scientist will continue to be a haute topic or just another trend. And also find out why empowering users can make everyone on your team a data scientist in her own right.

No. 3 – 10 Trends Shaping Big Data in Financial Services: One thing we’ve learned about Spotfire blog readers – you guys and gals love lists of trends. (It must have something to do with the name of our blog!) Go back to this post to find out why nine out of 10 business leaders consider data the fourth factor of production behind labor, land and capital.

No. 2 – Top BI Resolutions and Trends for 2012 from Industry Experts: Our roundup of resolutions and the outlook for 2012 hit home in a big way with our blog readers. Review this post and see if the BI resolutions and predictions match up with the outcome of 2012 for your organization.

No. 1 – 5 Important HR Analytics: Our top post of the year features a big concern in HR – using analytics effectively. This post explores how HR can move beyond reporting what is (the present) or what was (the past) to predicting and analyzing what will be (the future).

Next Steps:

 

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12/31
2012

Harnessing the Power of Data Analysis, Intelligent Sensors for Predictive Maintenance

The expanding use of intelligent sensors and data analysis by companies and government entities is helping leaders predict when equipment needs maintenance before it actually breaks down.

Ludeca Sensalign 250 x 250 Harnessing the Power of Data Analysis, Intelligent Sensors for Predictive MaintenanceOil platforms, telecommunication network infrastructure, rail systems and even vending machines are producing a wealth of data that can be analyzed to enhance risk management or maintenance processes for virtually any type of equipment, Ronny Seehuus notes in a recent article for Capgemini.

Seehuus points out that intelligent sensors that are used to measure the physical condition of equipment – temperature, humidity, etc. – can help manufacturers and companies in other industries detect trends and patterns to predict a failure or breakdown of a mechanical part before it actually happens.

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12/28
2012

Big Data and Data Analysis Predictions for 2013

It’s that time of year again. Time to look into our crystal ball – actually the crystal balls of some experts – to see just how the big data landscape is shaping up for 2013.

crystal ball big data 150x150 Big Data and Data Analysis Predictions for 2013Big data and the increasing need for firms to put into place data analysis strategies to take advantage of the reams of data flowing through their networks have dominated the tech headlines in 2012.

And the trend is not going away, according to several research groups that are predicting that big data management and staffing issues will top the agendas for many corporations in the New Year.

Many global companies don’t yet have data management strategies, according to the Gartner Inc. research report, “Gartner Predicts: Big Data and Information Infrastructure.” But as big data volume, variety and velocity continue to increase, organizations will be forced to develop and implement data analysis and management strategies, notes the report.

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12/27
2012

How Marketers Can Use Obama’s Data Analysis Techniques

For many retailers and marketers, getting the type of actionable insight about customers that the Obama presidential campaign gained about citizens via data analysis – then used to sway voters – would be the equivalent of sales nirvana.

insight How Marketers Can Use Obama’s Data Analysis TechniquesStaffers for the president’s campaign have historically closely guarded the “secret sauce” that helped them march to victory in the first big data election.

However, two former staffers of the Obama for America campaign have provided an inside look into the type of data analysis that helped Barack Obama secure a second term as president.

Evan Zasoski, the Obama campaign’s deputy director for data production, and Michelangelo D’Agostino, the campaign’s senior analyst for digital analytics, offer some tips for how businesses can use data analysis, and predictive analytics to unearth patterns and predict future customer behavior.

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12/26
2012

5 Ways Data Analysis, Data Discovery Bolster Executive Performance

Executives are not only responsible for their own performances, but also for the performances of dozens if not hundreds or thousands of other employees, according to a recent Aberdeen Group report on executive analytics.

superhero 150x150 5 Ways Data Analysis, Data Discovery Bolster Executive PerformanceBecause of fast-changing market conditions and customer attitudes, executives must be able to act quickly on business trends as they develop.

We outline five ways that data analysis and data discovery can strengthen executive decision making and improve organizational performance:

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12/24
2012

Developing a Progressive Data Analysis Strategy

As companies gain more experience with data analysis, they’re able to identify new ways to use data and pinpoint opportunities to improve the business.

This includes the use of data discovery and other techniques to identify the company’s most valuable customers and determine ways to attract more like them.

strategy reviews 300x261 Developing a Progressive Data Analysis StrategyData discovery techniques can help companies identify the right prospects faster and much more affordably. Think about it – enterprise companies often spend millions of dollars each year on sales and marketing campaigns, yet only a fraction of the prospects they target actually convert.

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12/20
2012

Content is King: Using Data Discovery to Win the Crown

You know the old adage: content is king. This has never been truer than it is today.

Growing legions of marketers are focusing on developing effective content strategies via mobile and traditional online channels to increase customer and prospect engagement to drive higher conversion rates.

contentKING banner Content is King: Using Data Discovery to Win the CrownTo succeed, marketers “must increasingly think like publishers as they compete for consumers’ attention in today’s digital world,” Jabeen Yusuf points out in a recent Forbes article.

On the flip side, editors must also think like marketers in terms of using SEO and keywords in headlines to help make content easy to find, deliver the right content to the right audience, and help pump up page views.

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12/19
2012

Data Analysis Not Top of Mind for HR

Many companies are hip-dip in a talent crunch, struggling to acquire and retain the talent that they need to survive in a challenging economic climate.

2008 metrics cover Data Analysis Not Top of Mind for HR  In fact, talent management is the top priority for today’s CEO, according to a recent PricewaterhouseCoopers study. This is being fueled by a talent shortage that’s plaguing 49% of US employers who say they’re challenged to fill mission-critical positions in their organizations

And human resources departments and managers are being blamed – whether justified or not – for these challenges. They’re seen as lagging behind other parts of a company when it comes to using data analysis to get accurate data and metrics to make important business decisions.

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12/18
2012

Predictive Analytics and Social Media: Predicting the Unpredictable

University researchers have discovered a new way to predict what topics on Twitter will be popular hours before they are identified as trending topics, offering a novel method to analyze information that changes over time.

social media crystal ball 300 Predictive Analytics and Social Media: Predicting the UnpredictableMIT professor Devavrat Shah and his student Stanislav Nikolov have developed a new algorithm that they say can, with 95% accuracy, predict the Twitter topics that trend, or suddenly explode in volume, reflecting their popularity.

Twitter determines the trending topics based on its own algorithm that analyzes the number of Tweets and those that have recently grown in volume, according to an MIT report on the research.

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12/17
2012

Balancing Data Discovery and Customer Privacy

The fact is more companies are using customer data to better understand their customers’ needs and preferences as well as to provide those customers with more targeted, personalized offers.

privacy card 3x2 150x150 Balancing Data Discovery and Customer PrivacyAnd that means business leaders must be careful to ensure that their organizations don’t overstep their bounds when it comes to customer privacy.

There are several reasons business leaders need to strike a balance between using data analysis and data discovery to identify the customers and prospects they want to target and customer privacy.

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