Thanks Noreen. Your note and a mention in Wikipedia are clsoe to what I was thinking (The wikipedia description below noted that iPhone was a minority in market share, but Apple has the largest share of profits vis smartphone).
Research firm IDC says Google-developed Android is now on three-quarters of all smartphones worldwide, while Apple's closed software-hardware ecosystem relegates the platform to a distant second-place with 14.9 percent of the mobile market.
Big ego plus data can be a toxic combination. I think to Apple's credit they were trying to take a strategic advantage over data that it assumed was "theirs" - data generated through the use of its smartphone, data that would benefit their customers ultimated, data that would have given Google, a smartphone competitor, an advantage.
Moreover Google has a lead in market share by OS (Need to verify how Apple and Google stack up - there's a difference between sales numbers and by OS because of the Android variations but I am not recalling it). The simple point is that Google's share would have been enhanced by its usage of the data to refine its map app. It was a tempting, well, apple that Apple could not ignore, but should have found a better way than to give a sub-beta product to customers. The whole scenario really fascinates me because of the scale of these two companies and how easy data (plus the means to execute) can tempt a company to do something that appear strategic but can backfire with ease.
Hi Pierre, we often hear about the challenge of big-data, and certainly location data for mapping falls into that category. But when I think about Apple's mapping fiasco I tend to think of the problem as more of big-ego then big-data!
Lisa Dierker, a Wesleyan professor who taught a statistics class on the Coursera massively open online course platform, talks about all her behind-the-scenes help.
LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
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Visual Analytics: Who Carries the Onus? The Issue: Data visualization is an up-and-coming technology for businesses that want to deliver analytical results in a visual way, enabling analysts the ability to spot patterns more easily and business users to absorb the insight at a glance and better understand what questions to ask of the data. But does it make more sense to train everybody to handle the visualization mandate or bring on visualization expertise? Our experts are divided on the question. The Speakers: Hyoun Park, Principal Analyst, Nucleus Research; Jonathan Schwabish, US Economist & Data Visualizer
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