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Data Nerd's Corner
Everything you wanted to know about analytics
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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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In tough times, contractors turn to creative marketing campaigns

In tough times, contractors turn to creative marketing campaigns | Data Nerd's Corner | Scoop.it
The old days – and ways – of selling to the government are out. Virtual conferences, 3-D animation and apps are in.
Carla Gentry CSPO's insight:

Traditionally, contractors set up booths at trade shows to interact with government officials and keep them in the loop about new products or technologies. In fact, that was the dominant method of communication between industry and government up until a few years ago.

 

But as budget constraints have drastically cut down the number of events that federal workers attend, companies have had to come up with alternate ways to reach them, marketing professionals said.

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How ‘Big Data’ is Transforming Today’s Healthcare Sector - NJ Spotlight

How ‘Big Data’ is Transforming Today’s Healthcare Sector - NJ Spotlight | Data Nerd's Corner | Scoop.it
Correlating patient data from a broad variety of sources can help reveal patterns of illness, identify individuals most likely to use emergency services, cut healthcare costs, and improve patient outcomes
Carla Gentry CSPO's insight:

Big data boosters say the field has great promise, with the potential to focus limited resources in ways that will improve the quality of patients’ lives, prevent needless deaths, and cut costs. At the same time, the productive use of data and analytics still faces a number of challenges, some of them unique to healthcare.

Privacy, in particular, is a major concern. Some of the most cutting-edge public health research efforts and commercial ventures seek to “mash up” multiple sets of health records, putting patients’ information to uses they never envisioned. Current privacy laws often hamper research, while still allowing companies to create and use data in ways that make people uncomfortable.

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The Seven Habits Of Highly Effective Big Data Users

The Seven Habits Of Highly Effective Big Data Users | Data Nerd's Corner | Scoop.it
Personal improvement educator Stephen Covey originally wrote The Seven Habits of Highly Effective People back in 1989. Since that time his approach to attaining goals effectively has been reimagined and reinvented for an infinite variety of disciplines and behaviours -- so why not big data analytics? With so much discussion currently [...]
Carla Gentry CSPO's insight:

It’s important that big data users can rely upon a scalable infrastructure that can keep pace with the rapid exponential growth of their data. It’s a home truth rarely spoken out loud as we spend most of our big data discussion time talking about ‘creating insight’, ‘adding business value’ and various other prosaic business banalities. Let us also think about taking the web-scale road less travelled.

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Data scientist: Your mileage may vary

Data scientist: Your mileage may vary | Data Nerd's Corner | Scoop.it
For those madly scrambling to hire data scientists, make sure you're hiring the right kind. Getting it wrong can be very expensive.
Carla Gentry CSPO's insight:

Organizations have been struggling for years to discover ways to put their data to use, and with the noise around big data, that struggle has become much more pronounced (and expensive) of late.

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Bad Statistics: Ignore or Call Out? | Blog on math blogs

Bad Statistics: Ignore or Call Out? | Blog on math blogs | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

Of course, one reason I don’t do as much pointing is that I write more about math and less about statistics and how it’s used in other sciences. I think there’s more need and opportunity for pointing in those fields. When done well, I think pointing out bad statistical practice and the bad journalism it sometimes spawns might help journalists and readers approach scientific studies with the appropriate amount of skepticism and ask the right questions about them. A girl can dream - See more at: http://blogs.ams.org/blogonmathblogs/2014/04/10/bad-statistics-ignore/#sthash.ixsYshhL.dpuf

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The hunt for your strategic blind spots: Assign data scientists to the case

The hunt for your strategic blind spots: Assign data scientists to the case | Data Nerd's Corner | Scoop.it
When considering where your company resides on the competitive landscape, data scientists are invaluable for making you aware of your strategic blind spots.
Carla Gentry CSPO's insight:

Focusing your data science team in the direction of your competition is a great way to uncover blind spots. Although your competition has corporate firewalls that you won't have access to, it's very difficult to operate in a vacuum. Companies interface with customers, suppliers, and government agencies. Furthermore, they're probably conducting analyses on their competition (including you), and it's very hard to make a move without leaving a digital trail of where you've been and what you're up to. This is just the kind of fodder your data scientists love to graze on.

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Looking to the Future of Data Science

Looking to the Future of Data Science | Data Nerd's Corner | Scoop.it
The future of data science lies beyond the big-data focus on predictions and recommendations, according to Oren Etzioni, a leading computer scientist.
Carla Gentry CSPO's insight:

And the correlation and prediction of data science has certainly been good to Mr. Etzioni, whose talents include being a successful entrepreneur. He was a founder of Farecast, whose software predicted the best time to buy airline tickets. Microsoft bought Farecast in 2008. He was also a founder of Decide, a web site that sifted through historical price data and user recommendations to help consumers make buying decisions. Ebay purchased Decide in 2013.

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Elina Jeskanen's curator insight, Today, 8:24 AM

" long-range goal is computer systems that can reason rather than merely recognize patterns and correlations and make predictions"

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SAP Users Skeptical Big Data is Worth the Costs, Survey Shows

SAP Users Skeptical Big Data is Worth the Costs, Survey Shows | Data Nerd's Corner | Scoop.it
A survey shows that three-fourths of SAP customers haven't purchased SAP HANA products because they can’t identify a business case to justify costs.
Carla Gentry CSPO's insight:

Guptill cites several examples that are quite troubling. For instance, he noes that HR divisions have the most regulated data, but Saugatuck’s experiences shows many companies can’t easily find or manage that data. He also cites SuperValu, which revealed after a security breach that it didn’t even know what customer data it possessed.

 

That’s why Guptill believes the “killer use case” for Big Data analytics will only come after companies have improved their integration with cloud-based business management software and services. SAP and other vendors know this, he writes, but for now they face an uphill battle in winning over adopters:

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Statistics.com - Terminology in Data Analytics

Statistics.com - Terminology in Data Analytics | Data Nerd's Corner | Scoop.it
Carla Gentry CSPO's insight:

What will replace "Big Data" as a hot buzzword ?

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Science’s Big Data Problem | Innovation Insights | WIRED

Science’s Big Data Problem | Innovation Insights | WIRED | Data Nerd's Corner | Scoop.it
Modern science seems to have data coming out of its ears. From genome sequencing machines capable of reading a human’s chromosomal DNA (about 1.5 gigabytes of data) in half an hour to particle accelerators like the Large Hadron Collider at CERN (which generates close to 100 terabytes of data a day), researchers are awash with…
Carla Gentry CSPO's insight:
Improved Tools

Finally, researchers need improved tools for managing, interpreting and sharing their data. Today most of them have better software at home for handling their music or photo collections than they have in the laboratory for doing the same with their research data. The reasons why are not are hard to see: there are around 7 million researchers in the world, making them about 0.1% of the human population. From the point of view of a big software company they therefore represent a relatively insignificant niche. But economically and culturally they are disproportionately important and for all our sakes they deserve better.

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Google's Eric Schmidt tells Stanford gathering that the key to cybersecurity is better encryption

Google's Eric Schmidt tells Stanford gathering that the key to cybersecurity is better encryption | Data Nerd's Corner | Scoop.it
Congressional staffers from both sides of the aisle came to Stanford last week for a cybersecurity boot camp. They heard from Google's Eric Schmidt that security problems are serious, but can be reduced with better encryption of communications.
Carla Gentry CSPO's insight:

Schmidt, in response to a question from Rice about classes students should take, noted that 75 percent of Stanford students take at least one computer science course.  He talked about the importance of data science – a topic Google scientists know well.  He pointed out that President Obama's campaign organization made good use of data science.

Voice recognition, text recognition and face recognition by cameras and computers have become very good, but pose a privacy threat, Schmidt said. Placing cameras everywhere would drastically reduce crime, he said, but at the cost of privacy.

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Data cannot work in isolation of analytics | IT News Africa- Africa's Technology News Leader

Data cannot work in isolation of analytics | IT News Africa- Africa's Technology News Leader | Data Nerd's Corner | Scoop.it
Frank Rizzo, data and analytics leader for KPMG South Africa. (Image Credit: Darryl Linington) The proliferation of connected devices has resulted in the
Carla Gentry CSPO's insight:

Rizzo believes that the practical elements around the decision-making process often revolve around whether the decision-maker has the right data to make the right decisions. But what often happens is that they are focusing on the amount of data and not whether the information they have is enough to infer decisions on.

“The three Vs of data examine its volume, variety, and velocity. At KPMG, we also talk about two additional Vs; the veracity (or integrity) of data, and the value that it provides the business. All these elements need to be used in conjunction to help decision-makers respond to a specific business problem they need to solve.”

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4 Steps to Master Predictive Analytics and Business Intelligence

4 Steps to Master Predictive Analytics and Business Intelligence | Data Nerd's Corner | Scoop.it
The Human Cloud will usher in new Services models. Models built on the use of Data Science, predictive analytics, and business intelligence.
Carla Gentry CSPO's insight:

With big data analytics changing rapidly and straining information structures, corporations and governments need what McKinsey calls “executive horsepower” or “top-management muscle” behind its data initiatives. [4] Accordingly, a C-level officer (e.g., Chief Data Officer, CTO, or Chief Analytics Officer) with a strong business background (one hopes) must have the mandate to lead model analytics centers. In order to succeed, corporate analysts with deep data experience fortified by the use of expert-global-third-party-based innovation platforms outside their four walls
must have a clear strategy with defined initiatives to achieve business results. A forward-thinking analytics strategy thus needs to take place at the business unit level. Why? First, priorities will differ by business unit; the treatment of data in one business unit may have little utility in another. Second, management priorities have to reinforce functional level goals with targets and metrics. A C-level executive who can work with business line managers and still champion analytics in the C-suite is a must.

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The Reason Why We Love Big Data

The Reason Why We Love Big Data | Data Nerd's Corner | Scoop.it
Why do we love big data? Because of Recommendation Engines. They help us to filter out the noise in this big data world. But how are they doing it? What are the challenges? Get an easy overview onto the technology of today: recommendation engines
Carla Gentry CSPO's insight:

A recommendation system outdoes benchmarking because it does not need an analyst at the end. It reduces Big Data to small data (see my take on why small data is important). A recommendation system suggests a few data points out of a large pool of data. Take LinkedIn as an example: The data product “people you may know” recommends only a few members out of a database of 300,000,000 members.

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IBM’s Watson moves from ‘Jeopardy!’ to analyzing scientific research

IBM’s Watson moves from ‘Jeopardy!’ to analyzing scientific research | Data Nerd's Corner | Scoop.it
NEW YORK — IBM wants you to know that its Watson technology can do more than win Jeopardy! It can help accelerate scientific research and discoveries. IBM, in a peer-reviewed paper with Baylor College of Medicine, used the Watson Discovery Advisor technology to map connections within troves of scientific research. The ability to point scientists toward new hypotheses and patterns in data is also being used by Johnson & Johnson to help develop medicines and find additional uses for existing drugs, IBM said in a statement.
Carla Gentry CSPO's insight:

Johnson & Johnson, whose CEO, Alex Gorsky, will soon join IBM’s board, will use Watson to analyze drug data to potentially allow researchers to more quickly ask questions about effectiveness and side effects.

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We-commerce: The sharing economy's uncertain path to changing the world - Feature - TechRepublic

We-commerce: The sharing economy's uncertain path to changing the world - Feature - TechRepublic | Data Nerd's Corner | Scoop.it
Peer-to-peer collaboration is gaining ground and changing the economics of the future, but there are questions to answer and obstacles to overcome.
Carla Gentry CSPO's insight:

It is the crux of this new economy -- the movement to be more inclusive and less distrusting; to be more democratized and less traditional; to help each other make better decisions about resources and waste less, and to harness the best aspects of technology to do so. With collaborative services, the hope is that, albeit slowly, we're all changing for the better. It's an altruistic idea, but there it is. If people can trust more, they can save money and gain flexibility.

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10 revealing mobile stats you may not have seen

10 revealing mobile stats you may not have seen | Data Nerd's Corner | Scoop.it
You might have seen these mobile stats if you have delved as deeply as me into Ofcom's August 2014 Communications Market Report.
Carla Gentry CSPO's insight:

Smartphone take-up increased from 51% to 61% in the year to Q1 2014. Ofcom research shows an increase across all age groups and socio-economic groups.

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Is health data mining the Next Big Thing?

Is health data mining the Next Big Thing? | Data Nerd's Corner | Scoop.it
What’s getting buried may surprise you DRUG BUST by Alan Cassels • The people’s briefing note on prescription drugs British Columbia is indeed a wond
Carla Gentry CSPO's insight:

Would ripping open the data vault to private interests make our health care system more efficient? The alleged $2 billion in annual savings is in the same “doesn’t pass the sniff test” category as the Premier’s royal proclamations on BC’s rich LNG future.

It’s true that benefits to patients could be found if those data were used to determine how well we prescribe drugs in children, for a disease such as asthma. By mining the data, we find that better use of inhaled corticosteroids could mean fewer visits to doctors and emergency rooms. But what if the data show the opposite? That too much of an asthma medication leads to worse control, more hospitalizations and deaths? If your ‘pharmaceutical partner’ on that research project catches wind of the early results and realizes they’ll blow a $500 million hole in their market, well, it’s time to get out the shovels boys, because we got a little burying to do. Mining indeed.

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How to Become a Data Scientist

How to Become a Data Scientist | Data Nerd's Corner | Scoop.it
Summary:  If you are wondering how to become a Data Scientist or what that title really means, try these insights.
I got started in data science way back.  I’v…
Carla Gentry CSPO's insight:

By evaluating 22 specific skills and multi-part self-identification statements they cluster and generalize according to these descriptions.  I am betting you will recognize yourself in one of these categories. #datasciencectrl

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The Business Problem with Big Data Analytics - Lens360

The Business Problem with Big Data Analytics - Lens360 | Data Nerd's Corner | Scoop.it
What is Happening?           Recent software analyst and IT media reports, including insights from a recent SAP Americas User Group (ASUG) survey, suggest that SAP’s HANA Big Data service / platform is not yet seen by a majority of ASUG members as benefiting their business (relative to the implementation cost of implementing), or driving enough revenue …
Carla Gentry CSPO's insight:

The big data innovation came from organizations that build products that required big data skills to create the value inherent in the product. And these skills where expensive, but since there was a direct relationship between investment and revenue growth, it was easy to justify the investment. Most enterprise IT, however, is managed as a cost center. That creates two problems: 1- investments for long term value creation can only be introduced top-down, and 2- it shifts the enterprise IT team's focus from value creation to cost reduction.

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37 key strategy questions web analytics answers - BarnRaisers

37 key strategy questions web analytics answers - BarnRaisers | Data Nerd's Corner | Scoop.it
Web analytics is not just for measuring web traffic. Web anlaytics provide a complete picture of your audience and attitudes and behaviors to your brand.
Carla Gentry CSPO's insight:

Google Analytics is the most widely used web analytics software. Google Webmaster Tools shows traffic for each keyword separately; it gives more information about website performance. There is even a Google Analytics Academy to learn all about how to use web analytics done online on the participant’s schedule. They’re all free to use so there’s no reason a company shouldn’t dedicate some time and attention to examining web analytics.

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The Evolution of the Data Scientist

The Evolution of the Data Scientist | Data Nerd's Corner | Scoop.it
The role of the data scientist is currently one of the most in-demand jobs in the tech industry. As more businesses turn to big data analytics for insights
Carla Gentry CSPO's insight:

For someone looking to enter the field, they must determine what kind of role they want to play. Do they want to drive the Ferrari or build the engine that powers the machine? Without a good engine, the driver cannot win the race. On the other hand, a top-of-the-line machine will collect dust unless a capable individual can run it.

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Tesco Clubcard masterminds lead hunt for new data scientists

Tesco Clubcard masterminds lead hunt for new data scientists | Data Nerd's Corner | Scoop.it
Imperial College’s Summer Data Challenge to offer cash prizes
Carla Gentry CSPO's insight:

The competition has been organised by Imperial College London's Data Science Institute in partnership with Starcount and Purple Seven, two big data analytics ventures headed by husband and wife team Edwina Dunn and Clive Humby.

Dunn and Humby helped establish Tesco’s Clubcard scheme that uses data gleaned from customers’ shopping habits to monitor trends in spending.

The datasets, pulled from 2012, include Purple Seven’s theatre ticket sales data; Transport for London exit/entry counts data and the tweets of Londoners and London theatres.

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Big Data: Big Business or Big Brother?

Big Data: Big Business or Big Brother? | Data Nerd's Corner | Scoop.it
There is a crazy amount of information floating around the world today, thanks to the marvel of ubiquitous data-driven technology. Stored information has doubled every 40 months since the 1980s. Since 2012, 2.5 exabytes (that's 10 million with 28 more zeroes) of data is created every day, according to an IBM study in 2013.
Carla Gentry CSPO's insight:

Big Data for media and advertising

The capacity to measure and study Big Data is enabling both conventional and digital advertisers to dissect consumer patterns more effectively and identify emerging trends faster and more accurately.

It is opening up new relationships with untapped markets and revitalising existing ones. If well executed, a strategy created using this information offers a distinct competitive advantage for any savvy advertiser or media marketer.

Personalised and closely targeted advertising, developed according to the figures garnered from Big Data, has completely turned the marketing philosophies of the past upside down.

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Types and Uses of Predictive Analytics, What they are and Where You Can Put Them to Work

Types and Uses of Predictive Analytics, What they are and Where You Can Put Them to Work | Data Nerd's Corner | Scoop.it
Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future…
Carla Gentry CSPO's insight:

The real value however was that we were able to score each person in the sample with a value from 1 to 100 based on their likelihood to buy.  The output of a scoring model is a few lines of computer code that can then be used to score the prospects that have not yet been promoted.  Based on the score we found that those with a score over about 70 were sufficiently likely to buy that the economics of the promotion resulted in a profit, and we avoided incurring the cost of promotion to those below 70 who if we had sent the costly promotional offer would have resulted in a financial loss.  This kind of model is called a ‘lift model’ and is at the core of almost all behavioral predictive models. #DataScienceCtrl

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