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Big Data Forecast: Sunny and Clear | Trends and Outliers

Big Data Forecast: Sunny and Clear | Trends and Outliers | Data Nerd's Corner | Scoop.it
The allure of big data, big data analytics and business intelligence is ratcheting up to the C-suite in companies.
Carla Gentry CSPO's insight:

50% of the top performing organizations have put enterprise-level business intelligence (BI) solutions into place compared to 28% of all others, according to Aberdeen. Moreover, the top performers were more than twice as likely as all others to have put predictive analytics into place. - See more at: http://spotfire.tibco.com/blog/?p=21083#sthash.Si78wUYt.dpuf

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3 Questions With 'Data Nerd' Carla Gentry

3 Questions With 'Data Nerd' Carla Gentry | Data Nerd's Corner | Scoop.it
Carla Gentry, a self-proclaimed data nerd who even uses the term as her Twitter handle, has been working in data science for 16 years for companies such as Johnson & Johnson, Hershey, Kraft, Kellogg’s, and Firestone, as well as the University of Chicago and the University of Tennessee. She has a data science blog and also curates the Analytics paper.li and scoop.it social media channels. In 2013, InformationWeek named her one of “10 IT Leaders to Follow on Twitter.”  “If you met me in a bar, you’d never think I was a data scientist,” she says, describing herself as a motorcycle-riding, bird-watching nerd. “Until I sit down and talk zettabytes of data.”
Carla Gentry CSPO's insight:

What advice do you give to companies that want to start getting involved in data science or big data? Particularly people who've been focused on the collecting but aren't sure how to proceed to the analysis?

You need to get someone who has a solid analytical background, but also has business knowledge and IT knowledge. If you can get those, it’s the trifecta. You have to be able to not just program, but also be the liaison between IT and business. You need to know about things like servers, nodes, and toggling. If your server is not running efficiently, your program is going to take longer to run. People join all these databases and run this huge query and wonder why it takes three days.

- See more at: http://simplicity.laserfiche.com/content/3-questions-data-nerd-carla-gentry#sthash.ROCMzOe8.dpuf

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Mlik Sahib's curator insight, March 13, 10:14 AM

"What advice do you give to companies that want to start getting involved in data science or big data? Particularly people who've been focused on the collecting but aren't sure how to proceed to the analysis?

You need to get someone who has a solid analytical background, but also has business knowledge and IT knowledge. If you can get those, it’s the trifecta. You have to be able to not just program, but also be the liaison between IT and business. You need to know about things like servers, nodes, and toggling. If your server is not running efficiently, your program is going to take longer to run. People join all these databases and run this huge query and wonder why it takes three days."

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Qrious partners with Apigee to speed up data delivery | ZDNet

Qrious partners with Apigee to speed up data delivery | ZDNet | Data Nerd's Corner | Scoop.it
Qrious has announced it will be using Apigee's API platform, giving the company the opportunity to manage and monitor its data, analytics, and application platform.
Carla Gentry CSPO's insight:

This new partnership only forms one part of the broader strategy Qrious has planned for New Zealand. The company also recently announced it will establishing a Data Science Academy, where students and professionals will be trained, tutored, and tested on their knowledge of these new techniques over a 17 week course.

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LinkedIn Angers Businesses With Feature Removal

As recently reported, LinkedIn is killing the Products & Services tab on Company pages. It turns out that some businesses aren't a fan of this …
Carla Gentry CSPO's insight:

LinkedIn apparently wants companies to use these pages more, so it’s ditching the Products & Services tab. The tab will be gone on April 14th. Until then, you can edit your content from the tab as you like. You won’t be able to add anything new.

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Data Scientists Want Respect & Results - InformationWeek

Data Scientists Want Respect & Results - InformationWeek | Data Nerd's Corner | Scoop.it
Analytics managers from Macy's, Ford, and Google offer tips on how to integrate and inspire data scientists.
Carla Gentry CSPO's insight:

Data scientists must also avoid getting bogged down in the data weeds

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Is data science a science? - Data Matters

Is data science a science? - Data Matters | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

Data Science is, then, officially in vogue. Not just the pet name for data analytics at Silicon Valley companies, like Google, LinkedIn, Twitter, and the rest, but anointed as a 'science'.

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Can big data and privacy coexist?

Can big data and privacy coexist? | Data Nerd's Corner | Scoop.it
In their eagerness to harness big data for commercial gain, are enterprises showing a blatant disregard for the privacy of their customers?
Carla Gentry CSPO's insight:

This creates a number of concerns around what data is collected, how it should be stored and interrogated, and what should be done about organisations which go too far – if we can agree on what “too far” means

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Jean-Michel Franco's curator insight, April 11, 12:36 AM

Interesting article, with some frightening statement such as "we need to do it since our competition does". My feeling is that we should as a profession look at others that manage that well. Physicians are an exemple: they need very sensitive information to to their job, but they commit to use it only in context and to maintain privacy. This is their code of conduct, and we urgently need one, without waiting for regulations.

This may be not a legal issue as of today, but this is a already a business issue. Company will lose trust from their customers, employees, etc. if they behave without ethics. And they will be faced with flawed data too ; this already happened with email marketing where consumers have created junk e-mails that they never user use, only intended to share with third party they they don't trust.

On another point, I'm surprised that this era of transparency is only considerer through the consumer privacy lens. I think that the NSA story reveals a lot on information related to companies, not only individuals. So I think enterprises should consider themselves as individuals, and tale care about what information can be accessed externally about them directly or through there employees, and see how they can govern that.

 

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What makes the perfect data scientist?

What makes the perfect data scientist? | Data Nerd's Corner | Scoop.it
Demand for data scientists is ballooning, but what attributes should enterprises be looking for in candidates?
Carla Gentry CSPO's insight:

Forrester Research analyst Mike Gualtieri believes a good data scientist can apply their expertise to any field. He gave the example of the “recommendations” section of Netflix, and said that it was mathematicians who were behind the development– not people with an intimate knowledge of Netflix’s audience.

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Selling User Data: Why It Leads to Long-term Losses for Your Business | Po.st Blog | The Most Advanced Social Sharing Platform

Selling User Data: Why It Leads to Long-term Losses for Your Business | Po.st Blog | The Most Advanced Social Sharing Platform | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

Data — both anonymized and personally identifiable — deserves to be protected. Whether you are working with a social network, database management platform, or other 3rd party service, you should require that they never sell or share your data. If you were an executive representing American Airlines, would you want Delta to be able to access consumers who have visited your website, opened your newsletter, or engaged with your Facebook posts? Any company that refuses to sign a data protection clause in your proposed partnership agreement should raise a big red flag. RadiumOne protects every client partnership with a strict corporate policy of never selling data of any kind

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EU court rejects data retention law

EU court rejects data retention law | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

"By requiring the retention of those data and by allowing the competent national authorities to access those data, the directive interferes in a particularly serious manner with the fundamental rights to respect for private life and to the protection of personal data," the court in Luxembourg ruled.

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Data Scientist vs. Value Architect | SmartData Collective

Data Scientist vs. Value Architect | SmartData Collective | Data Nerd's Corner | Scoop.it
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.
Carla Gentry CSPO's insight:

What do I mean by this? The data scientist will indicate that the value architect does not understand data while the value architect will argue that the data scientist does not understand the business problem. As organizations attempt to fill both these type of roles, they will often look for “hybrids” or those individuals that can perform in both areas. However, this is easier said than done. But why? Without turning this article into a paper on neuroscience, brain functionality does play a part. Our brains are divided into left and right hemispheres where the left brain deals with the more quantitiative/programming /data sensitive type activities which is a clear strength of the data science discipline.

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Top Big Data Executives and Experts to Follow on Twitter

Top Big Data Executives and Experts to Follow on Twitter | Data Nerd's Corner | Scoop.it
To recognize and learn more about big data technologies and architecture, vendor developments in the big data and analytics industry, and numerous technical challenges. I have decided to compile a lis...
Carla Gentry CSPO's insight:

To recognize and learn more about big data technologies and architecture, vendor developments in the big data and analytics industry, and numerous technical challenges. I have decided to compile a list of the Most Influential Voices in Big Data and Quantitative Analytics Arena. And what they think are their biggest challenges when implementing big data in their storage environments.

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Why UPS Trucks Don't Turn Left

Why UPS Trucks Don't Turn Left | Data Nerd's Corner | Scoop.it
UPS engineers map out routes for their drivers consisting of "a series of right-hand loops"
Carla Gentry CSPO's insight:

UPS engineers found that left-hand turns were a major drag on efficiency. Turning against traffic resulted in long waits in left-hand turn lanes that wasted time and fuel, and it also led to a disproportionate number of accidents. By mapping out routes that involved "a series of right-hand loops," UPS improved profits and safety while touting their catchy, environmentally friendly policy. As of 2012, the right turn rule combined with other improvements -- for the wow factor, UPS doesn't separate them out -- saved around 10 million gallons of gas and reduced emissions by the equivalent of taking 5,300 cars of the road for a year.

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Amazon and Twitter’s Data Centers Flunk Greenpeace Report | Enterprise | WIRED

Amazon and Twitter’s Data Centers Flunk Greenpeace Report | Enterprise | WIRED | Data Nerd's Corner | Scoop.it
The mammoth data centers that power the internet are greener than they used to be, but two major players -- Amazon and Twitter -- could do a lot better, according to the environmental watchdog Greenpeace.
Carla Gentry CSPO's insight:

Unlike Amazon and the others, Twitter doesn’t actually build its own data centers. But Cook thinks the micro-blogging service could do a much better job when it comes to energy efficiency and disclosing its energy usage — both areas where it scored an F. “We have not seen any real evidence that they are managing their electricity supply chain,” Cook says. But he hopes that by shining a light on the industry, Greenpeace might change that. “If we’re going to make the internet a green platform, it can’t just be the Googles and the Apples and the Facebooks.”

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What Twitter buying Gnip means for social data competitor Datasift - Fortune Tech

What Twitter buying Gnip means for social data competitor Datasift - Fortune Tech | Data Nerd's Corner | Scoop.it
Recent acquisitions by Twitter and Apple are changing the game for big data startups focused on social media.
Carla Gentry CSPO's insight:

What did you think when Apple bought your competitor Topsy?

Halstead: It blew our minds for thinking bigger about the potential for the platform we developed. If Apple purchased this company, to not even use this company for what it was intended, maybe we should look at our platform that way. It triggered a lot of creative thinking for us about what the possibilities were beyond social.

Bailey: Our venture capitalists would not have given us $70 million just to focus on the social data market. That would not make any sense. We have increasingly found out over the last year, especially with our partnership with [business analytics software company] Tableau (DATA), that when companies are making decisions, they don't say, "Let me go check social." They check the market, and social is a component of their decision.

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15 Twitter Facts and Figures for 2014 You Need to Know - Jeffbullas's Blog

15 Twitter Facts and Figures for 2014 You Need to Know - Jeffbullas's Blog | Data Nerd's Corner | Scoop.it
The microblogging giant has come a long way since co-founder Jack Dorsey's first tweet. Here are some Twitter facts and figures worth checking out.
Carla Gentry CSPO's insight:

While Twitter has become an incredible brand, it must find a way to show profitability in the future. We don’t want the little blue bird to fly away.

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A Statistical Analysis of the Work of Bob Ross

A Statistical Analysis of the Work of Bob Ross | Data Nerd's Corner | Scoop.it
Bob Ross was a consummate teacher. He guided fans along as he painted "happy trees," "almighty mountains" and "fluffy clouds" over the course of his 11-year television career on his PBS show, “The ...
Carla Gentry CSPO's insight:

Conditional probability can be a bit tricky. We know that 44 percent of Ross’s paintings contain clouds, 9 percent contain the beach and 7 percent contain both the clouds and the beach. We can use this information to figure out two things: the probability that Ross painted a cloud given that he painted a beach, and the probability that he painted a beach given that he painted a cloud. You divide the joint probability — 7 percent in this case — by the probability of the given — 44 percent or 9 percent, depending on whether you want to know the probability of a beach given a cloud or a cloud given a beach.

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Schools Use Student Data to Find Signs of Trouble, Help Struggling Kids

Schools Use Student Data to Find Signs of Trouble, Help Struggling Kids | Data Nerd's Corner | Scoop.it
More schools are collecting and using information about student attendance and grades to flag kids at risk of dropping out — often before anyone realizes they need help.
Carla Gentry CSPO's insight:

The process works like this: analyst Jennifer Savino gathers information on attendance, behavior and performance in math and English. Then, based on some dropout risk studies from Johns Hopkins University, she flags kids who are on a downward trend. Those names show up on PowerPoint slides at these weekly War Room meetings.

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Bigdata: are we making a big mistake? - iccube - making data talk

Bigdata: are we making a big mistake? - iccube - making data talk | Data Nerd's Corner | Scoop.it
Interesting analysis on the challenges of BigData and Statistical Analysis. Statistical biases are not new but important. Remember the Financial Crisis.
Carla Gentry CSPO's insight:

Going to the right people, like Carla Gentry from Analytical Solutions to get insight on what you need to do and how in order to deliver the business value is a must. Back-test regularly, challenge the conclusions, in other terms: manage the magic of BigData like you manage other predictive or decision making activitie

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VIDEO + SLIDESHOW: How The Data Analyst Will Revolutionize Business Decision Making

VIDEO + SLIDESHOW: How The Data Analyst Will Revolutionize Business Decision Making | Data Nerd's Corner | Scoop.it
With advances in big data, artificial intelligence and increased metric captures of everything we do in the digital world, business analytics will go through a radical transformation in the next few years. Today, analytics practitioners influence business decision makers. In the future, analysts will own business decision making. How will this affect the way marketers […]
Carla Gentry CSPO's insight:
Key TakeawaysThe difference between a good and a great analyst.How to meet a strategic business need using data.Learn how to explain analytics in a non-technical way.Earn budget and buy-in to continue analytics investment.
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Does OpenSSL bug prove that open source code doesn't work?

Does OpenSSL bug prove that open source code doesn't work? | Data Nerd's Corner | Scoop.it
By now most of you have read about the major bug that was found in OpenSSL, an open source security software toolkit. The bug itself is called the Heartbleed Bug, and there's lots of information ab...
Carla Gentry CSPO's insight:

It would be great to see the OpenSSL bug story become, over time, a success story. This would mean that, on the one hand the nerds becoming more vigilant in checking vitally important code, and learning to think like assholes, but also the public would need to acknowledge how freaking hard it is to program.

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Critical OpenSSL 'Heartbleed' bug puts encrypted communications at risk | PCWorld

Critical OpenSSL 'Heartbleed' bug puts encrypted communications at risk | PCWorld | Data Nerd's Corner | Scoop.it
Administrators are advised to patch and revoke old private keys
Carla Gentry CSPO's insight:

Computer security experts are advising administrators to patch a severe flaw in a software library used by millions of websites to encrypt sensitive communications.

The flaw, nicknamed “Heartbleed,” is contained in several versions of OpenSSL, a cryptographic library that enables SSL (Secure Sockets Layer) or TLS (Transport Security Layer) encryption. Most websites use either SSL or TLS, which is indicated in browsers with a padlock symbol.

The flaw, which was introduced in December 2011, has been fixed in OpenSSL 1.0.1g, which was released on Monday.

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What It’s Like to Be a Girl Who Codes — Editor’s Picks — Medium

What It’s Like to Be a Girl Who Codes — Editor’s Picks — Medium | Data Nerd's Corner | Scoop.it
As a female techie, you experience unforgiving gender roles on a day to day basis.
Carla Gentry CSPO's insight:

People looked at you funny if you were anything out of the norm. Middle school is when everyone starts splitting up into categories, like the nerds, the jocks, and the cool kids. Nobody necessarily called each other that, but in our minds and hearts, we all knew that there was a distinct separation. This was normal.

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Excerpt | Big Data@Work

Excerpt | Big Data@Work | Data Nerd's Corner | Scoop.it
To truly harness the potential of large amounts of unstructured information, companies must tweak management processes and workplace culture
Carla Gentry CSPO's insight:

One of the most powerful analytical approaches with big data is randomized, controlled experimentation, and it’s done on a huge scale in online and start-up firms’ websites. This type of analysis is powerful because it’s the only way to establish cause and effect. I’ve already mentioned A/B testing at LinkedIn—a technique involving running two different versions of a web page, randomly assigning customers to each, and then observing whether there are statistically significant differences in customer behaviour across the pages.

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Ten Intriguing Insights Into Digital Marketing

Ten Intriguing Insights Into Digital Marketing | Data Nerd's Corner | Scoop.it
Digital marketing is the wave of the future. Get on board!
Carla Gentry CSPO's insight:

Mashable posted a rather humorous infographic, which describes – or actually makes fun of – the seven types of digital marketers. Although humor always contains elements of truth, the authors advise that few people fall into one category, and that most marketers represent a combination of types. Look at the different types, and determine which modus operandi best suits your business or digital marketing clients.

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Is Big Data Under Threat? | SmartData Collective

Is Big Data Under Threat? | SmartData Collective | Data Nerd's Corner | Scoop.it
(Image)
Carla Gentry CSPO's insight:

However, the governmental and corporate miscues of data reveal a darker side to big data that has to be addressed so that we can concentrate on the good that can be gained from big data analytics. As someone with a very wide insight into big data I am concerned with how my data is used. I currently don’t feel that I have any real control about who is seeing and analyzing my data, be it data I put on Facebook, what I search for on Google, data on how I use my credit card, what I buy on Amazon or what I send through email. I feel that there is no transparency about where my data goes and how it will be used. I don’t think we can ever achieve complete transparency, e.g. law enforcement agencies need ways of collecting and analyzing data in stealth mode if they are to catch ciminals and terrorists. However, what we need is better regulation and to me the attempt to create a digital bill of rights is something we should all support.

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A Data-Centric Approach Will Lead To Customer Centricity

A Data-Centric Approach Will Lead To Customer Centricity | Data Nerd's Corner | Scoop.it
Data is the lifeblood of your organisation and the future of truly unique 1:1 customer experiences lies in data centricity.
Carla Gentry CSPO's insight:

Fortunately, the Big Data era that we have entered will help creating a truly singular view of the customer, regardless of the touch points used, that can meet those expectations. From now on, organisations have no excuse anymore to put the customer at the centre of all decisions, resulting in delivering relevancy in every medium where they connect with that customer 1:1. Such a customer-centric organisation should build an operating model around a deep understanding of its customers, what they value, and the contribution, or the customer life-time-value, that each customer makes to the profitability of the organisation.

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