The Trick to Seeing Through Marketing Statistics – Business 2 Community

See on Scoop.itData Nerd’s Corner

Carla Gentry CSPO‘s insight:

Look at the other side of the same statistics to get a more balance perspective!

Look at the other side of the same statistic to get a more balanced perspective.
Read more at http://www.business2community.com/marketing/trick-seeing-marketing-statistics-0663735#fbpleS7DcKM06vu6.99Look at the other side of the same statistic to get a more balanced perspective.
Read more at http://www.business2community.com/marketing/trick-seeing-marketing-statistics-0663735#fbpleS7DcKM06vu6.99

See on www.business2community.com

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Definitions for 34 Twitter Terms You Were Too Embarrassed to Ask About

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Want to grow your Twitter vocab? Check out the definitions for these 34 terms related to the social media site that you ought to know.

Carla Gentry CSPO‘s insight:

 

Remember when you used to make prank phone calls? (C’mon, don’t be shy — everyone’s done so at one point or another.) Well, crank tweets are the new prank calls, except in written form. They’re misleading tweets, tweeted on purpose.

See on blog.hubspot.com

Is Facebook Effective for Marketing?

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Forrester report questions the support of the network s social marketing

Carla Gentry CSPO‘s insight:

Marketers are clearly feeling the effects, Forrester says. The firm asked 395 marketers from the U.S., U.K., and Canada how satisfied they were with the business value they get from 13 different online marketing sites and tactics, including Twitter, Google Plus and YouTube marketing. Facebook was last on the list

See on www.information-management.com

Marissa Mayer’s Purchases Highlight Data Talent Shortage – Saul Sherry | Big Data Republic

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Yahoo’s purchasing habits reflect the Data Scientist shortage.

Carla Gentry CSPO‘s insight:

Experience DOES matter!!!!

38% don’t optimise websites for mobile devices with 41% of those blaming a lack of knowledge. – See more at: http://www.tnooz.com/article/lack-knowledge-holding-mobile-advance-back-hotels/#sthash.WZix70NU.dpuf

See on www.bigdatarepublic.com

How Your Facebook Profile Reveals More About Your Personality Than You Know | MIT Technology Review

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Researchers look at social media to understand how updates and “likes” differ between personality types.

Carla Gentry CSPO‘s insight:

“Automatically clustering words into coherent topics allows one to potentially discover categories that might not have been anticipated,” the authors wrote. “[Open vocabulary approaches] consider all words encountered and thus are able to adapt well to the evolving language in social media or other genres.”

See on www.technologyreview.com

0xdata Releases Second Generation H2O, Big Data’s Fastest Open Source Machine Learning and Predictive Analytics Engine

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PALO ALTO, CA — (Marketwired) — 10/24/13 — 0xdata (), the open source machine learning and predictive analytics company for big data, today announced general availability of the latest release of H2O, the industry’s fastest prediction engine…

Carla Gentry CSPO‘s insight:

"Big data by itself is useless. It is only when you have big data plus big analytics that one has the capability to achieve big business impact. H2O is the platform for big analytics that we have found gives us the biggest advantage compared with other alternatives," said Chris Pouliot, Director of Algorithms and Analytics at Netflix and advisor to 0xdata. "Our data scientists can build sophisticated models, minimizing their worries about data shape and size on commodity machines. Over the past year, we partnered with the talented 0xdata team to work with them on building a great product that will meet and exceed our algorithm needs in the cloud."

See on www.consumerelectronicsnet.com

Seven Stories You Shouldn’t Miss (Week Ending October 25, 2013) | MIT Technology Review

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Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.

Carla Gentry CSPO‘s insight:

What is up with Wikipedia?

 

See on www.technologyreview.com

Midsize Insider: Can a Data Science Project Be Popular and a Success?

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Practical Perspectives for the Midsize Business. Brought to you by IBM.

Carla Gentry CSPO‘s insight:

For IT leaders to take over ownership of a data science project from business partners, the same principle applies. Explicitly negotiating that only one of the feature set, resource burn rate or completion date, can be fixed is the first step to establishing expectations that are in line with reality. While IT may seem like magic to nontechnical people, IT departments are constrained by the same mundane project management rules as the rest of the world. Programs and projects are judged against expectations, and setting realistic expectations is a first step toward success.

See on midsizeinsider.com

Managing the Deluge of Big Data from Space

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Data from spacecraft pour in every day. Those digital records of images and information need to be stored, indexed and processed so that people across the globe can use the data to understand Earth and the universe beyond.

Carla Gentry CSPO‘s insight:

"Scientists use big data for everything from predicting weather on Earth to monitoring ice caps on Mars to searching for distant galaxies," said Eric De Jong of JPL, principal investigator for NASA’s Solar System Visualization project, which converts NASA mission science into visualization products that researchers can use. "We are the keepers of the data, and the users are the astronomers and scientists who need images, mosaics, maps and movies to find patterns and verify theories."

See on www.scientificcomputing.com

Do You Know Where Your Data Is And Who Reads It? Varonis Knows

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David Gibson, Varonis Edward Snowden’s job responsibilities at the NSA included accessing a file-sharing section of the agency’s intranet and manually moving especially sensitive documents to a more secure location.

Carla Gentry CSPO‘s insight:

“As every business process gets digitized, your business cannot function without collaboration,” David Gibson, vice president of marketing at Varonis, told me recently. “Data you can’t share is a frozen asset. If nobody can access it, it has no value, but if too many people have access, it turns from an asset to liability. Secure collaboration, where all the right people have access, all data use is monitored and abuse is flagged, is where we have to get to.”

See on www.forbes.com