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Social Networks Send Buyers into Brick and Mortar Stores, Data Reveals

Vision Critical Analysis Shows Pinterest Leads in Influencing Impulse Purchases (Social Networks Send Buyers into Brick and Mortar Stores, Data Reveals http://t.co/dMV2CX7wfO
#social2sale)...
Carla Gentry CSPO's insight:

Pinterest is most helpful, but Facebook still leads

Users of all three platforms see Pinterest as the most helpful in finding interesting items, generating ideas and providing inspiration. Pinterest is also the network where users are more likely to feel overwhelmed. Facebook remains the most popular social network, with three in four users logging on daily.

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PRESENTING: The 100 Most Influential Tech Women On Twitter

PRESENTING: The 100 Most Influential Tech Women On Twitter | Data Nerd's Corner | Scoop.it
Here are the top 100 influential women that you should be following on Twitter.
Carla Gentry CSPO's insight:
25. Carla Gentry

Twitter

Occupation: Data Scientist at Analytical Solution

Handle: @data_nerd

Why: Follow Gentry for insights on data and digital marketing.

Tech PI: 83

PI: 67



Read more: http://www.businessinsider.com/most-influential-tech-women-on-twitter-2014-5?op=1#ixzz32LCkdrN1

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Humanizing the Data Scientist

Humanizing the Data Scientist | Data Nerd's Corner | Scoop.it
Whether you are attempting to analyze Big Data for human or machine consumption should inform your selection of the right person do tackle the job.
Carla Gentry CSPO's insight:

Hard-science data scientists need to develop highly complex models. Since machines will consume their models, they don’t have to worry about the messy task of interpreting the data for humans.

 

 

If you want analytics for managers, however, you’re better off seeking someone with a social or medical science background, because their training focuses more on issues such as how and why. These are the data scientists who focus on drawing a story from the data, even if they must use simpler models. Actual humans need to understand the results, and you know what stinkers they can be.

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Tech firms’ most wanted: data scientists

Tech firms’ most wanted: data scientists | Data Nerd's Corner | Scoop.it
FOR his PhD in astrophysics, Chris Farrell spent five years ­mining data from a giant particle accelerator. Now, he spends his days analysing ratings for Yelp’s online business-review site.
Carla Gentry CSPO's insight:

“People call them unicorns” because the combination of skills required is so rare, said Jonathan Goldman, who ran LinkedIn’s data-science team that in 2007 ­developed the “People You May Know” button, which five years later drove more than half of the invitations on the professional-networking platform.

 

Employers say ideal candidates must have more than traditional market-research skills: the ability to find patterns in millions of pieces of data streaming in from different sources, to infer from the patterns how customers behave and to write statistical models identifying behavioural triggers.

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Numbers Don’t Lie, But Your Research Might

Numbers Don’t Lie, But Your Research Might | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

All numbers are not created equal. While numbers themselves are innocent, the measurements that create these numbers have varying degrees of fallibility. And—specific to customer research—although it would be absurd to measure customer opinions in the same manner as product dimensions, we tend to trust the resulting numbers as if they were measured the same. In practice, measuring customer attitudes and behaviors is fundamentally different due to the nature of interpretation involved. Not only must the research professional act as an interpretive instrument but the research participant must as well. For every survey question—regardless of the researcher’s intended meaning—every respondent answers according to their personal assessment of what each question means. - See more at: http://ideaexchange.quarry.com/2014/08/numbers-dont-lie/#sthash.5vE7dUMI.dpuf

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What Facebook doesn’t show you

What Facebook doesn’t show you | Data Nerd's Corner | Scoop.it
Tim Herrera cataloged every piece of content in his News Feed, and every piece of content his friends posted, for a 7-hour period. The difference between the two might startle you.
Carla Gentry CSPO's insight:

But for all those link shares and wall posts, I still wasn’t sure exactly why I was seeing what I was seeing, or if I was even seeing what I wanted to see. (A Pizza Hut co-worker? Really?) So I went through my whole Facebook network – all of my 403 friends and the 157 Pages I Like – and recorded every single thing they posted on July 17.

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5 Women In Tech Share The Best And Worst Advice They've Ever Received

5 Women In Tech Share The Best And Worst Advice They've Ever Received | Data Nerd's Corner | Scoop.it
They aren't waiting around or keeping their heads down, no matter what anyone says.
Carla Gentry CSPO's insight:

Before becoming cofounder and CEO of Lumo BodyTech, Monisha Perkash started aconsumer Internet company that helped users make college more affordable. "I love applying technology towards solving important problems," she says. "Being an immigrant whose life was transformed by education, I gravitated towards the idea of using tech to improve educational access for others as well."

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Researchers grapple with ethics of studying users’ online data

Researchers grapple with ethics of studying users’ online data | Data Nerd's Corner | Scoop.it
With social media and other companies sitting on a gold mine of personal information, researchers are puzzling out how they may be able to use that data in their studies. One researcher likens it to the point at which chemistry first got the microscope.
Carla Gentry CSPO's insight:

Now Hancock and other university and corporate researchers are grappling with how to create ethical guidelines for this kind of research. In his first interview since the Facebook study was made public, Hancock said he would help develop such guidelines by leading a series of discussions among academics, corporate researchers and government agencies like the National Science Foundation.

“As part of moving forward on this, we’ve got to engage,” he said. “This is a giant societal conversation that needs to take place.”

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A Strategist’s Guide To Marketing Segmentation

A Strategist’s Guide To Marketing Segmentation | Data Nerd's Corner | Scoop.it
Strategic marketing segmentation makes it possible to customize and improve the customer and user experience from discovery to sale. Read more.
Carla Gentry CSPO's insight:

Psychographic information is best illustrated with an example. Let’s say we have an individual who resides in a large city. Their love of niche coffee and haute culture would suggest that their tastes are cultivated, discerning. With this buyer in mind, a prudent advertising strategy might include depictions of a bohemian urban setting, punctuated by catchy indie music. Print materials may feature vintage boutiques and art galleries and online media may carry a tone of delight and creativity.

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Architecting for big data

Architecting for big data | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

The architects’ job should involve more big-picture thinking and anticipation of future integration needs so they can build flexibility into their planning models. For example, when your data architect is busy with the data integration professional on a particular problem with a particular interface, that’s a sign that you are wasting money rather than planning for the future.

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Data protection changes risk ‘dire consequences’, scientists warn

Data protection changes risk ‘dire consequences’, scientists warn | Data Nerd's Corner | Scoop.it
Scientists have warned that evidence-based policy making in Europe is at risk from changes to a data protection regulation being considered by the European Union.
Carla Gentry CSPO's insight:

“Restricting the use of personal data for these and many other types of study would limit our ability to ensure European policy making is informed by the most robust evidence base,” according to the letter’s authors.

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Wizard of Oz and the new Analytics Fairytale

Wizard of Oz and the new Analytics Fairytale | Data Nerd's Corner | Scoop.it
The tale of Dorothy and her friends as they journeyed to the Land of Oz; each to find answers to the problems they were facing is one many of us would have lov…
Carla Gentry CSPO's insight:

Dorothy and her friends are brave and persistent. With her magic powers and her silver slippers, she proves that Research powered by Analytics is the way to drive real impact for the CXOs' business problems. And she doesn’t really need the wizard to solve her problems. Fast forward 200 years later? Well, that could be a new story.

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Guess what? Doctors don't care about your Fitbit data

Guess what? Doctors don't care about your Fitbit data | Data Nerd's Corner | Scoop.it
In theory, health wearables could make a real difference by providing a way to monitor at-risk people, like diabetics. They might be a great way to monitor poorer people who often never touch the h...
Carla Gentry CSPO's insight:

“Doctors would love to be excited about wearables — they’re gadget guys at heart — but their day-to-day is spent battling 30 year old fax machines to get your last lab report.” says Jeff Tangney, CEO of Doximity, which makes a social communication platform for clinicians. “For a busy doctor, the ability to use email would save more lives than a Fitbit.”

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How to Use Twitter Analytics to Find Important Data |

How to Use Twitter Analytics to Find Important Data | | Data Nerd's Corner | Scoop.it
Are you looking for new ways to measure success on Twitter? Get access to Twitter Analytics and find the data you need to track your campaign success.
Carla Gentry CSPO's insight:
Manage User Profiles

You can give other Twitter users access to the dashboard as needed. However, you don’t have to give the new users access to campaigns. You can set permissions so they can only access analytics data. This way, employees who don’t post on Twitter but may have use for the data can log into your brand’s analytics to find what they need.

To manage user profiles, hover your mouse over your account name (in the right corner) and choose Edit Access to Account from the menu.

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Dstillery Chief Scientist Claudia Perlich Serves as First Female Chair of KDD

Dstillery Chief Scientist Claudia Perlich Serves as First Female Chair of KDD | Data Nerd's Corner | Scoop.it
NEW YORK, NY--(Marketwired - Aug 20, 2014) - Dstillery, the pioneer in cross-device audience targeting for brands, announced today that its chief scientist Claudia Perlich is the first female general chair of the annual flagship KDD 2014 conference. The event is hosted by the Association of Computing Machinery's Special Interest...
Carla Gentry CSPO's insight:

"I'm so excited to welcome thousands of the brightest minds in data mining to New York City this month in an effort to bond on a common goal: using data to inform decision-making and drive policy change," said Perlich. "There is a strong grassroots movement of talented professionals who volunteer their time to educate future generations and collaborate on projects with NGOs and nonprofits. I am honored to bring everyone together to build on this movement."

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"Data scientists aren't quite unicorns, but they're close": How to avoid a big data nightmare

"Data scientists aren't quite unicorns, but they're close": How to avoid a big data nightmare | Data Nerd's Corner | Scoop.it
Organisations wishing to avoid being outmoded by competitors or outgrown by customers need to embrace a data-driven approach to management and decision making. The path to success is clear.
Carla Gentry CSPO's insight:

There simply aren't enough data scientists in the world today, nor will there be in the foreseeable future. Instead of focusing on finding a single data scientist, you should instead focus on building data science teams from within your organisation. Train team members in-house to manage your ccustomizedbig data initiatives. Find enthusiastic DBAs and business analysts willing to learn and take the next step, and offer the on-the-job training they need to take it.
Read more at http://www.tgdaily.com/enterprise/125826-data-scientists-arent-quite-unicorns-but-theyre-close-how-to-avoid-a-big-data#im1OlpHivsX7FMb3.99

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Data Scientist: Sexiest Job on the Planet | SmartData Collective

Data Scientist: Sexiest Job on the Planet | SmartData Collective | Data Nerd's Corner | Scoop.it
If you paid close attention, you could see it coming. The tortoise eventually beats the hare, but it does take time. Allow me to make my case using the following more or less chronological, non-linear and highly selective history of the modern era.
Carla Gentry CSPO's insight:
If you paid close attention, you could see it coming. The tortoise eventually beats the hare, but it does take time.
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Top Research Leaders in Data Mining, Data Science, and KDD

Top Research Leaders in Data Mining, Data Science, and KDD | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

Here is a list of 20 top researchers in the field, according to Microsoft Academic Search for Data Mining for all time. The authors are ranked using field rating, which is similar to H-index in that it calculates the number of publications by the author and the distribution of citations to the publications, but it only calculates publications and citations within a specific field to show the impact of the scholar within that field. 

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Why Google relies on the ‘toothbrush test’

Why Google relies on the ‘toothbrush test’ | Data Nerd's Corner | Scoop.it
Before buying a company, Google asks: Is it something you will use once or twice a day?
Carla Gentry CSPO's insight:

Deals with unadvised buyers are increasing rapidly. The acquiring company did not use an investment bank in 69 per cent of American technology acquisitions worth more than $100 million this year, according to Dealogic. That number was 27 per cent 10 years ago.

The diminished reliance on investment banks comes as technology deal making is booming. More than $100 billion in such deals have been announced in the United States this year, the most since 2000, according to Dealogic.

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University Communications : University of Vermont

University Communications : University of Vermont | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

Other faculty involved in the Big Data seminar are looking for new opportunities to collaborate across disciplines, or to gather and sharpen research tools — like the programming language Python or the supercomputer at the Vermont Advanced Computing Core. For yet others, the seminar raises basic question about epistemology and consciousness. Joseph Acquisto, UVM professor of French, wonders, “how is Big Data changing the ways we think we know what we know?”

And, for some of the attendees, Big Data raises questions about how fundamental dynamics of societies may be changing. “When it comes to information on a network,” wrote UVM mathematics professor Jim Bagrow on his application for the Honors College seminar, “we’re all in this together.” And that togetherness may be changing our senses of self.

“For better or for worse,” Mara Saule, UVM’s chief information officer and dean of the libraries, says in her keynote address to the gathered scholars, “we’re all someone else’s data point.”

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These In-Demand Jobs Promise Fantastic Pay – If You Can Make the Grade

These In-Demand Jobs Promise Fantastic Pay – If You Can Make the Grade | Data Nerd's Corner | Scoop.it
For those with the mix of education and skills needed, data crunching can be extremely lucrative - Amanda Alix - Financials
Carla Gentry CSPO's insight:

For STEM students who are interested in pursuing a career in big data, employment is practically guaranteed. With the surging demand and dearth of qualified candidates, higher education and business have joined forces to help increase the pool of candidates. A program called Insight Data Science Fellows Program near Stanford University, for example has a job placement rate of 100%. 

With the sector still evolving, it may be difficult to identify which areas of study will produce the desired mix of education and skills required for big data jobs. Colleges and universities arerushing to fill the void, dishing up new offerings that can help students tailor their degrees to suit these jobs. With an estimated 4 million jobs in big data opening up by 2018, the time to begin acquiring the right combination of skills and training is right now.

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The Secret Weapon Of Retail: Predictive Analytics - Retail TouchPoints

The Secret Weapon Of Retail: Predictive Analytics - Retail TouchPoints | Data Nerd's Corner | Scoop.it
Like most industries and sectors, retailers are driven by the need to provide good customer service. In a crowded, competitive market, this need becomes more prominent. Gaining any kind of advantage becomes invaluable, particularly when it comes to understanding your market; the secret to which is having — and using — insights derived from data.
Carla Gentry CSPO's insight:

Predictive analytics also can be used to gain an understanding of the wider market environment and where it’s headed in order to take advantage of opportunities, and help drive supply and marketing decisions. In fact, 79% of retailers believe predictive analytics is primarily about exploiting opportunity.

Factoring in things like weather forecasts to predict demand for seasonal goods, as well as building behavioral models of customer demographics to anticipate what channels they want to use, can give retailers insight into what they should be doing to gain a competitive edge. By using sales and behavioral data alongside information about market conditions, retailers can accurately project demand for anything from burgers to a mobile optimized web site.

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Cybercriminals capitalize on oversharing on social media

Cybercriminals capitalize on oversharing on social media | Data Nerd's Corner | Scoop.it
A culture of spreading intimate details online is putting young people at risk of identity theft, the Better Business Bureau says.
Carla Gentry CSPO's insight:

He says people can stay safe if they avoid looking at personal information on unfamiliar networks.

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Comprehensive list of data science resources

Comprehensive list of data science resources | Data Nerd's Corner | Scoop.it

It would be great to organize them by category, but for now they are organized by date. This is very useful too, since you are likely to have seen old entries already, and can focus on more recent stuff. 

Carla Gentry CSPO's insight:

They plan to update this reference of references on a regular basis.

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‘Data, Algorithms, & Tradecraft’: Keeping A Little Humanity In Big Data

‘Data, Algorithms, & Tradecraft’: Keeping A Little Humanity In Big Data | Data Nerd's Corner | Scoop.it
ARLINGTON: “Big data” is big business nowadays. Defense contractor Lockheed Martin, for example, boasts their analytical tools have successfully predicted everything from Arab Spring uprisings to the onset of sepsis in hospital patients. But big data can also go wrong in big ways. If you set a powerful program loose on a large enough data set, it can come up with spectacularly specious correlations that have nothing to do with cause and effect. More people tend to drown in swimming pools, for example, in years when Nicholas Cage appears in multiple movies. That example is easily caught by common sense, but far more dangerous are the correlations that look plausible to policymakers while still being wrong. “It’s like baseball statistics,” said Jason O’Connor, vice-president of analysis at Lockheed’s Defense & Intelligence Solutions (DIS) division. Number-crunching fans can come up with fallacies like “It’s a sunny day in July, left hander, on an astroturf field, [so] he’s going to hit a double.” “We hear a lot about big data,” O’Connor told reporters yesterday. “I tend to think about it slightly differently[:] data, algorithms, and tradecraft. All three pieces are critical.” Data refers to the quality and quantity of the information itself. “Garbage in, garbage out,” but, O’Connor said, one advantage of big data is the ability to use so many different sources that their errors cancel each other out, letting the underlying patterns show through. “The data doesn’t have to be as good if it’s big,” he said. Algorithms refers to the quality of the software that analyses the data. (Lockheed’s marquee product is immodestly called “LM Wisdom,” which analyzes social media and other online “open source” data). The quality of the software, however, ultimately depends on the human beings writing and testing it. Finally, tradecraft refers to the old-fashioned intelligence analysis skills of the human beings using the software. No matter how beautifully the algorithms are written, you can’t just dump the output on a decision-maker’s desk. It takes expertise and experience to make sense of big-data findings, just as with any other source of intelligence. The goal of LM Wisdom and related tools is “to enable the analyst,” not to replace him or her. “We’re not suggesting that the human be out of the loop,” O’Connor. “We’re not suggesting that an algorithm is the ultimate outcome. It is an input to the tradecraft and the tradecraft is the human being.” The real value of the algorithm is to “scour endless data” that drive human beings blind or mad with boredom – from social media feeds to satellite imagery – and highlight what might be worth further investigation, either by the analyst or by additional intelligence collection resources. Lockheed is naturally leery of discussing just what they do for the intelligence community. They do claim one version of their software had a 100 percent success rate in predicting which Arab governments would avoid uprisings, make concessions to them, or be overthrown – although they only ran this analysis once the Arab Spring was underway, and only as an internal test of the software rather than on behalf of any intelligence agency. When it comes to real-world applications, Lockheed cybersecurity teams use a version of LM Wisdom to track so-called insider threats – disgruntled or traitorous employees – at Lockheed and client companies. (It’s unclear how this software handles employees’ privacy concerns). Lockheed also adapted counterterrorist techniques to help an unnamed “large pharmaceutical firm” track down the criminal ring counterfeiting their products, identifying key players and tracing money laundering flows that the client then turned over to US authorities. And Lockheed uses automated analytics for the Missile Defense Agency’s Command, Control, Battle Management and Communications (C2BMC) system, which must correlate inputs from widely scattered sensors of different types: infra-red satellites detect the flame of a launch, ground-based and ship-based radars track the missile, and commanders must quickly make sense of the data and decide whether to expended some of their limited supply of interceptors – or, in the future, fire a laser or rail gun. Remarkably, Lockheed adapted those missile defense algorithms for medical purposes: by looking for patterns in temperature, blood pressure, white blood cell count, and other vital signs, O’Connor said, they were able to provide doctors warning that a patient was going septic 14 hours earlier than traditional methods. That’s not to say that doctors and nurses can’t do the job the old-fashioned way, nor that the algorithms can somehow replace them, but that the humans and the software together work better and faster than either alone. “That 14 hours can be life-saving,” O’Connor said. That’s the goal for the national security applications of the software as well.
Carla Gentry CSPO's insight:

The real value of the algorithm is to “scour endless data” that drive human beings blind or mad with boredom – from social media feeds to satellite imagery – and highlight whatmight be worth further investigation, either by the analyst or by additional intelligence collection resources.

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All Ears: Multicultural Consumers Are Shaping the Future of Music

All Ears: Multicultural Consumers Are Shaping the Future of Music | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

Technology has also changed how consumers are finding new music. Instead of being limited to public settings such as school grounds or a workplace, consumers can now explore new music on various different social platforms. Artists today are often now discovered on an increasing number of social sites, such as YouTube, SoundCloud and the like.

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8 Amazing Things People Said When Online Shopping Was Born 20 Years Ago

8 Amazing Things People Said When Online Shopping Was Born 20 Years Ago | Data Nerd's Corner | Scoop.it
My, how things have changed, and yet remained the same. Two decades ago, when the era of e-commerce was born, people fretted about online fraud and security—and that the Internet had too much porn.
Carla Gentry CSPO's insight:

For ordering, many of the “computer stores” offer shoppers an 800 telephone number to call. Others are set up so a shopper can click on a box next to the desired gift, type in payment information and the shipping address and then hit a “Submit Order” button. Some companies even let shoppers pick out the wrapping paper via computer.

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