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Marketing to Baby Boomers: A [Very] Valuable Demographic

Marketing to Baby Boomers: A [Very] Valuable Demographic | Data Nerd's Corner | Scoop.it
A recent study reveals that marketers may be undervaluing a key demographic: Boomers. The Baby Boomer generation is generally considered to included anyone born during the post-World War II baby boom 1946-1964.
Carla Gentry CSPO's insight:

As the Harvard Business Review puts it, “Apart from the fact that those between the ages of 50 and 65 spend twice the amount of money on healthcare than the 18 to 25 year-old set and three times as much money on housing, 50 to 65 year-olds also spend an amazing 78% more money on shopping.” 78% more money. That’s quite a bit that your business could be missing out on.

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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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How auto insurer Progressive collected 10 billion miles of driving data from its customers | ZDNet

How auto insurer Progressive collected 10 billion miles of driving data from its customers | ZDNet | Data Nerd's Corner | Scoop.it
Progressive has quietly amassed a trove of driver data with Snapshot, its opt-in driving tracker device.
Carla Gentry CSPO's insight:

It turns out Progressive's tools for harnessing and analyzing Big Data run the gamut from refined (version 2.4.1 of Hadoop, R and the full spectrum of SAS software) to bare bones (Excel). The team said Hadoop and SAS is more widely used by Progressive, while the more complex analytical language R is used by only a small number of its internal analysts.

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Hadoop vs. Data Warehouse: Comparing Apples and Oranges?

Hadoop vs. Data Warehouse: Comparing Apples and Oranges? | Data Nerd's Corner | Scoop.it
Dan Graham of Teradata describes Hadoop, data warehouses, and data marts; the differences between them; and the abilities and shortcomings of each.
Carla Gentry CSPO's insight:

In 1992, Bill Inmon published “Building the Data Warehouse,” which described two competing implementations: data warehouses and data marts. Gartner echoed Inmon’s position in 2005 in its research “Of Data Warehouses, Operational Data Stores, Data Marts and Data Outhouses.” Both are oversimplified in the following table. - See more at: http://data-informed.com/hadoop-vs-data-warehouse-comparing-apples-oranges/#sthash.wdmNptdB.dpuf

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Optimizing Atlanta's 911 Systems with Data Science | Data-Smart City Solutions

Optimizing Atlanta's 911 Systems with Data Science | Data-Smart City Solutions | Data Nerd's Corner | Scoop.it
Two guest authors reflect on Data Science for Social Good - Atlanta, which has been working on supercharging analytics from the city's 911 Emergency Center Data.
Carla Gentry CSPO's insight:

he project’s initial concept was formed during a brainstorming session with several members of the broader Atlanta community and finalized between the Focus of Results Atlanta (FOR Atlanta) team in the Mayor’s office and the Atlanta 911 Center leadership.  The overall goals of the project were to:

Identify opportunities to reduce dispatch timeIdentify opportunities to more efficiently manage human capitalCreate a decision-making tool for Atlanta 911 Center leadership
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Your Rights in the Age of Big Data Analytics | SmartData Collective

Your Rights in the Age of Big Data Analytics | SmartData Collective | Data Nerd's Corner | Scoop.it
With Big Data-related excitement on the verge of finally reaching a crescendo, many market analysts are forecasting gargantuan outlays. But, as more organizations begin to explore the potential of Big Data Analytics in greater depth, many practical, moral and legal challenges will further emerge, requiring our attention.
Carla Gentry CSPO's insight:

An ABI Research report, Big Data Spending to Reach $114 Billion in 2018; Look for Machine Learning to Drive Analytics, predicted that the worldwide market for Big Data related hardware, software and professional services would reach $30 billion by the end of 2014, experiencing a staggering Compound Annual Growth Rate (CAGR) of 30% through to 2018 where the total market size would reach $114 billion. Wikibon’s Big Data Vendor Revenue and Market Forecast 2013 – 2017 report supports those figures, projecting the Big Data market to be worth around $28.5 billion by the conclusion of 2014, climbing to $50.1 billion by the end of 2015. 

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Grocery shoppers embracing mobile technology - Essential Retail

Grocery shoppers embracing mobile technology - Essential Retail | Data Nerd's Corner | Scoop.it
Online search volumes for via smartphones for UK grocers almost doubled in the second quarter of the year, compared to the same period in 2013.
Carla Gentry CSPO's insight:

The number of online searches for grocery terms on tablet devices were reportedly up 28% compared to the same period in 2013, suggesting British consumers are embracing all forms of mobile technology during their shopping trips.

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Facebook and Cornell U. backlash: Why we should worry!

Facebook and Cornell U. backlash: Why we should worry! | Data Nerd's Corner | Scoop.it
Facebook engaged in a large study - 693,003 users - to see if emotional states could be transferred or changed via the emotional content of the news feed. Facebook did not feel it was necessary to get subjects' consent before conducting the study. Here are 3 more reasons WHY this study IS IMPORTANT to us all!!
Carla Gentry CSPO's insight:

Following the spirit as well as the letter of the law is the key to successful compliance. In turn, any governance depends upon the participants doing their job thoroughly and carefully.

In this case, the academics thought this was an important subject that could be nicely studied with Facebook users. They may not have considered how much it might upset users and the media.

Cornell University has a its procedure in place for getting approval for research with human subjects. As the image below illustrates, the researcher is expected to reflect on the project and if in doubt, ask for help.

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Dark Social: We Have the Whole History of the Web Wrong

Dark Social: We Have the Whole History of the Web Wrong | Data Nerd's Corner | Scoop.it
The biggest chunk of social traffic to websites comes from outside the official social networks like Facebook and Twitter.
Carla Gentry CSPO's insight:

If what I'm saying is true, then the tradeoffs we make on social networks is not the one that we're told we're making. We're not giving our personal data in exchange for the ability to share links with friends. Massive numbers of people -- a larger set than exists on any social network -- already do that outside the social networks. Rather, we're exchanging our personal data in exchange for the ability to publish and archive a record of our sharing. That may be a transaction you want to make, but it might not be the one you've been told you made.

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New York Times Chief Data Scientist Chris Wiggins On The Way We Create And Consume Content Now

New York Times Chief Data Scientist Chris Wiggins On The Way We Create And Consume Content Now | Data Nerd's Corner | Scoop.it
"What were aiming to do is try to inform product decisions and marketing decisions, as well as potentially newsroom decisions.
Carla Gentry CSPO's insight:

The ability to use the technical tools, that’s part of it. But part of it also is critical literacy--to be critical about somebody else’s story that they’re trying to tell you using data. And rhetorical literacy which is the skill of being able to use data use data and analysis of data in order to make a point--in order to tell as story yourself. We’re trying to teach all of those things.

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Differences between econometrics and statistics: From varying treatment effects to utilities, economists seem to like models that are fixed in stone, while statisticians tend to be more comfortable...

Differences between econometrics and statistics: From varying treatment effects to utilities, economists seem to like models that are fixed in stone, while statisticians tend to be more comfortable... | Data Nerd's Corner | Scoop.it
I had an interesting discussion with Peter Dorman (whose work on assessing the value of a life we discussed in this space a few years ago). The conversation started when Peter wrote me about his recent success using hierarchical modeling for risk analysis. He wrote, “Where have they [hierarchical models] been all my life? In …
Carla Gentry CSPO's insight:

I’ve been mulling the question about economists’ obsession with average effects and posted this on EconoSpeak. I could have said much more but decided to save it for another day. In particular, while the issue of representative agents has come up in the context of macroeconomic models, I wonder how many noneconomists — and even how many economists — are aware that the same approach is used more or less universally in applied micro. The “model” portion of a typical micro paper has an optimization model for a single agent or perhaps a very small number of interacting agents, and the properties of the model are used to justify the empirical specification. This predisposes economists to look for a single effect that variations in one factor have on variations in another. But the deeper question is why these models are so appealing to economists but less attractive (yes?) to researchers in other disciplines.

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Biggest IPO in history may be coming. | OptionsHouse

Carla Gentry CSPO's insight:

Alibaba would crack the top ten in terms of size of IPO if, as expected, the final size grows to over $5.5 billion.  Yahoo bought 40% of the company 10 years ago and still owns a 22.6% stake. It’s fair to believe that Yahoo shares appreciated near the end of 2013 as investors apparently sought to purchase this hidden value. Yahoo has stated they plan to use the IPO to sell 10% of their stake in the company.

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Data Credibility: A Key Data Quality Dimension in the Big Data Era

Data Credibility: A Key Data Quality Dimension in the Big Data Era | Data Nerd's Corner | Scoop.it
Recently, there’s been a great deal of discussion within the information management industry about data quality. This discussion has gone beyond simply talking about what data quality means, to cover the potential consequences of poor data quality in operational and ...
Carla Gentry CSPO's insight:

“Data credibility is the extent to which the good faith of a provider of data or source of data can be relied upon to ensure that the data really represents is what the data is supposed to represent, and that there is no intent to misrepresent what the data is supposed to represent.”

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Julia King: We're all data scientists now

Julia King: We're all data scientists now | Data Nerd's Corner | Scoop.it
It's up to each one of us to figure out what in the daily surge of data is useful, what's crap and what's truly valuable.
Carla Gentry CSPO's insight:

I DO NOT agree but read and form your own opinion :) "I think data science is going to be as foundational to education as English," Priestly says. "The reason is everybody is dealing with data. Everybody has to understand the basics of how to analyze data. Data science doesn't belong in the business school. Everybody should take data science."

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Health analytics market poised for major growth

Health analytics market poised for major growth | Data Nerd's Corner | Scoop.it
Increasing health IT adoption, global care mandates and venture capital investments will help to push the health analytics market to 25 percent annual growth over next five years, according to a new report.
Carla Gentry CSPO's insight:

However, a shortage of skilled people with the necessary analytical skills and difficulties in securing patient data and patient-privacy requirements pose barriers to wider adoption of healthcare analytics, the report notes.

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Data scientists outearn the rest of us by 113%

Data scientists outearn the rest of us by 113% | Data Nerd's Corner | Scoop.it
For job postings nationwide, data scientist salaries are 113% more than average salaries for all job postings, according to Indeed.com.
Carla Gentry CSPO's insight:
Data is money

The average data scientist today earns $123,000 a year, according to Indeed.com. But the operating term here is “today,” since data science has paid increasing dividends since it really burst into business consciousness in 2012.

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Why analysts should master public speaking

Why analysts should master public speaking | Data Nerd's Corner | Scoop.it
Granted, the fear of public speaking is often considered the most common of all phobias. In some (non-scientific) studies, evidence suggests that people fear…
Carla Gentry CSPO's insight:

Today, there is an interesting lack of clarity into the ‘natural’ career path for analysts. In our network, we’ve seen it all: analysts who become managers of analytical teams (who are suddenly challenged on the core competencies needed to fulfill their new role), analysts who become managers of other teams, and analysts who will eternally remain analysts. In a reality where people are ‘encouraged’ to work longer, one needs to ask the crucial question: will I remain forever happy as an analyst? A lack of public speaking skills has been considered a major factor holding people back from success in general - and this is probably not much different for analysts.

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OkCupid Data Scientist: "I'm Not Playing God"

OkCupid Data Scientist: "I'm Not Playing God" | Data Nerd's Corner | Scoop.it
After readily admitting to conducting experiments on OkCupid users, Christian Rudder defends Facebook's study and tech company data scientists.
Carla Gentry CSPO's insight:

The post (which you can read more about here) is a bit sardonic and overtly casual about the idea of a company experimenting with user data and algorithms. Early on, Rudder argues, “Guess what, everybody: if you use the Internet, you’re the subject of hundreds of experiments at any given time, on every site. That’s how websites work.”

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When Is Big Data Analytics A Waste Of Time?

When Is Big Data Analytics A Waste Of Time? | Data Nerd's Corner | Scoop.it
Industry analysts have predicted that there will be somewhere between 26 and 30 billion Internet of Things (IoT) devices by the year 2020. From personally wearable Fitbit-style activity trackers to electronically empowered fridges, toasters and front door bells… right through to industrial turbine sensors and all manner of corporate monitoring [...]
Carla Gentry CSPO's insight:

So at what point is big data analytics a waste of time? When not even a German football coach can precision-engineer another goal’s worth of incremental value out of it is the answer.

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Dollar Tree to acquire Family Dollar

Dollar Tree to acquire Family Dollar | Data Nerd's Corner | Scoop.it
Dollar Tree announced it would acquire Family Dollar. The merger between the two leading discount retailers is expected to close by the end of the year.
Carla Gentry CSPO's insight:

Sasser predicts the merger will allow for a broader assortment of merchandise, which in turn will attract a wider array of customers.

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SunTrust CIO Drives Digital By Renovating and Innovating IT

SunTrust CIO Drives Digital By Renovating and Innovating IT | Data Nerd's Corner | Scoop.it
“No one goes to a bank anymore,” Anil Cheriyan, CIO at SunTrust told me recently. “Very few people actually visit a bank branch. They need access to their financial information when they need it, whenever and however they need it. We are responding with a mobile-first, customer-first approach, providing a [...]
Carla Gentry CSPO's insight:

Today, it is one of the largest banking organizations in the U.S. Under the leadership of William H. Rogers, Jr., CEO since June 2011, it has embarked on a new strategic thrust, focusing on three priorities: Optimizing the balance sheet and business mix; deepening customer relationships; and improving efficiency. 

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Behind The Rise of the Chief Data Officer

Behind The Rise of the Chief Data Officer | Data Nerd's Corner | Scoop.it
CDOs will become universal as organizations realize that big data is too specialized and too much of a responsibility for the CIO or CTO.
Carla Gentry CSPO's insight:

International Data Corporation (IDC) reports that the digital universe will grow 300-fold between 2005 and 2020 to a total of 40 trillion gigabytes. Yet, according to IDC, only one percent of this data is currently being analyzed. That gap is the opportunity. Companies capable of gathering, structuring, analyzing and using that data stand to gain a competitive edge in their respective marketplaces.

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Big Data Needs a Thought Collective | SYS-CON MEDIA

Big Data Needs a Thought Collective | SYS-CON MEDIA | Data Nerd's Corner | Scoop.it
SYS-CON Media, NJ, The world's leading i-technology media company on breaking technology news.
Carla Gentry CSPO's insight:

Big Data should follow the lead of the scientific method (which was influenced by Fleck's ideas) to put greater emphasis on sharing and reusing data. Why is that important for businesses? Scientific data is easy to share among different organizations. Having the ability to do the same with data science could solve what's emerging as a major pain point. Employees change roles and organizations, but what happens to the knowledge, experiments, and patterns?

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I am not an econometrician | Javalobby

I am not an econometrician | Javalobby | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

As a result of this dis­tinc­tion, econo­me­tri­cians do a lot of hypoth­e­sis test­ing but pro­duce few graph­ics. Many research sem­i­nars in our depart­ment involve some­one describ­ing a model, apply­ing it to some data, and show­ing the esti­mated para­me­ters, stan­dard errors, results of var­i­ous hypoth­e­sis tests, etc. They do all that with­out ever plot­ting the data to start with! This seems bizarre to me, and I still get annoyed about it even though I’ve seen it at least a hun­dred times. I teach my stu­dents to first spend time get­ting to know their data through plots and other data visu­al­iza­tion meth­ods before even think­ing about fit­ting a model or doing a hypoth­e­sis test.

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Inside the Artificial Brain That’s Remaking the Google Empire | Enterprise | WIRED

Inside the Artificial Brain That’s Remaking the Google Empire | Enterprise | WIRED | Data Nerd's Corner | Scoop.it
It was one of the most tedious jobs on the internet. A team of Googlers would spend day after day staring at computer screens, scrutinizing tiny snippets of street photographs, asking themselves the same question over and over again: “Am I looking at an address or not?’ Click. Yes. Click. Yes. Click. No. This was…
Carla Gentry CSPO's insight:

This was a critical part of building the company’s Google Maps service. Knowing the precise address of a building is really helpful information for mapmakers. But that didn’t make life any easier for those poor Googlers who had to figure out whether a string of numbers captured by Google’s roving Street View cars was a phone number, a graffiti tag, or a legitimate address.

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How to find -- and hire -- data scientists

How to find -- and hire -- data scientists | Data Nerd's Corner | Scoop.it
Data might just be the new driver of business success. Airbnb uses data to match lodging and travelers. Netflix uses data to personalize your entertainment. Amazon uses data to sell you more stuff....
Carla Gentry CSPO's insight:

But data doesn’t reveal its secrets easily — or cheaply. Hence the exploding role of data scientist, which has grown from practically nothing to a major hiring focus, with stunning growth over the last three years at job site Indeed.com of thousands of percent. And the cost of hiring a data scientist, which is up to $150,000/year.

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4 Tips For Data-Driven Glory: Insights From Interact 2014

4 Tips For Data-Driven Glory: Insights From Interact 2014 | Data Nerd's Corner | Scoop.it
Marketers today swim in a sea of data. From tracking purchase behavior to website visits, they’re constantly gathering information about th
Carla Gentry CSPO's insight:

While 91% of marketers use data to drive decisions, 40% say that they can’t turn data into actionable programs, Rutkin noted. To get started with personalized content à la Verizon newsletters, “Inventory your available data and line that up with your goals,” Rutkin said, adding that her team’s work is an iterative process. “It’s like Disneyland. There’s always some maintaining going on in our newsletter program. You’re always putting customers first, but as their needs change, your strategies change too.”

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