Thanks, Tricia. I think you touch upon a great point - that marketers really need to envision what the data will be used for ultimately, so that the right questions of integration across platforms and application will be raised. How media travels today has indeed become complex.
With studies like this one - it's hard to know if it matters at all if the data is captured. They noted that only 5% of the 800 marketers from Fortune 100 companies surveyed had a statistics book and only 6% were able to answer 5 stat questions correctly. Will the marketers know what to do with it if they even have it.
Since this is the way the Fortune 100 are handling data - wonder if there is a ripe opportunity for hungry competitors who do know what to do with the data?
Then they're making the assumption that the person at the iPhone or iPad is the target customer - what if the site was accessed by someone at work - working at an employer who could afford Apple while the employee could only afford an HP? Someone could argue to do it for repeat visitor, but how many visits means an increase? And that would mean someone would have to overlook the difference in price, which would not work. Very few people are unobservant on a computer
Oh I was just wondering if you knew what might be the line for "intrude into yoru privacy"?
I suppose it's different for different people - for instance as long as its "married female age XX with xx income" I don't know if I care. However, someone was telling me that some companies make decisions based on browser type.
So if you come to the site using an iPhone, iPad, or other Apple device (using Safari basically) - they charge you more! They figure because you have an Apple product you have more diposable income. I would never think of my browswer as private - but geez if I have to pay 10% premium then I do!
Maybe it's time for the analytics profession to unite under a single slogan that inspires quality and innovation, something that will help you avoid being one of those case studies where big data analytics went awry.
In providing a summary of their two All Analytics Academy presentations, Ezmeralda Khalil and Steven Mills of Booz Allen Hamilton highlight the value of identifying the right talent needs, recruiting data scientists from business units, and not wasting time looking for unicorns.