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How can businesses balance the creepy vs magic factor when providing new and right-timed services? http://www.via-cc.at...
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Stuart Bilick
Did you copy my post about the creepy comment :-)
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IBM Risk Analytics
Haha! Creepy indeed!
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IBM Analytics
Organizations must foster relationships built on trust by acting authentically and transparently at every level
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Kaitlin Noe
I think a lot of creepy v magic hinges on providing value to the customer.. and of course respecting their privacy!
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IBM Risk Analytics
Trust eliminates the creepiness!
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Debra Pesek
If they are truly timing it right, it wont be creepy. Noone will think about that when its just what they need. Its only when its done wrong...
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Stuart Bilick
First I think firms can't be to invasive. I am guessing when people start getting text messaging constantly while walking through a mall, or driving past businesses and are inundated with offers there will be backlash
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IBM Analytics
@stubilick We new what you were going to say before you even said it - was it magic or predictive analytics? LOL
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Richard Lee
The blind pursuit of gathering more #Data and performing deeper Customer #Analytics has created a growing #Privacy backlash. Org's who routinely cross the "Creepiness Line" may soon find themselves subjected to Regulatory Scrutiny & Punishment. @IBMRisk
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jameskobielus
I blogged on this exact topic a few years ago: http://analyzingmedi...
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Kimberly Trimble
Businesses can balance the creepy vs magic factor by actively notifying customers about cookies and other tracking that will be done after they visit a website. Opt-in advertising is another way to mitigate the creepy factor.
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Stuart Bilick
Offers have to be limited, targeted and relevant, which gets to Richard's earlier point about good predictive capabilities
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Zach Jory
It will become the norm/not be viewed as creepy for long. When Kodak first introduced the modern-day camera, it was viewed as an invasion of privacy since people no longer had to stand still for a long period for their image to be captured.
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Richard Lee
I wrote a number of blogs on this topic for the @IBMBigData Hub under the title of "The #Privacy Corner" @IBMRisk
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jameskobielus
It comes down to modeling customer journeys with an eye toward you, in your data/analytic-fueled biz processes, avoiding pushing them into "creepy" (e.g., privacy intrusive) paths on those journeys.
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IBM Analytics
One of the best outcomes of the shift towards a future fueled by #analytics is that it will force every entity to become an authentic organization
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{([ Ryan Boyles ])}
somehow, dealing with privacy policies has to evolve past "trust us and whatever third parties we do biz with now or in the future"
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IBM Analytics
@zjory Couldn't agree more! People used to think security cameras were creepy too
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{([ Ryan Boyles ])}
Ancestry.com was in the news recently for sharing DNA data with law enforcement that led to a wrong ID. the tables are turned when access to analytics and vast stores of personal data are involved.
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Christine Warren
the key is transparency. If consumers are aware of what their info is being used for...its less creepy #analytichat
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IBM Analytics
@theRab Yes, excellent point!