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

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.

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

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

“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.”

"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."

What is up with Wikipedia?

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.

"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."

“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.”