Great post! “What happens if a user interferes with a crime in progress? These concerns have validity and Citizen does appear to be making efforts to discourage this type of behavior.” It comes to mind that this could potentially be a diversion tool for criminals to draw police attention somewhere else while they pull off a robbery or break-in.
Great post! “By combining data from both the AMEX closed loop system and publicly available sources, AMEX Advance delivers powerful insight into factors that formed significant predictors of buying behavior and therefore who should be on the receiving end of targeted marketing.” For years, credit card companies have been partnering with 3rd party data sources in order to help merchants identify credit card users. I wonder if there will be new regulation on how far this use of data will go.
Very interesting post! “The company claims that their predictions are 95% accurate. Consumers are always worried about paying too much for airfare, so this service is highly valued.” I’ve always wondered whether it would be feasible for there to be a secondary hotel booking or airline ticket service. If a continue like Hopper can predict accurately when the optimal time to pay for a hotel room would be, couldn’t they snatch up the hotel rooms at that price and offer them at a slight premium for what they paid, yet still under the hotel’s reservation website?
Great post! It is very interesting that big data “Moneyball” approaches have been widely accepted in the MLB for over a decade, but were resisted in many of the other professional sports. For the NBA, I find the data analytics behind pace of play very interesting. As you noted, “lower possession games lead to more anomalies in outcomes”. Teams are embracing this change of tempo. The fast-break / transition pace of play is incredibly different from several decades ago.
Very interesting post. “Nielsen has enormous troves of data on consumers, and while they’ve begun to venture into this space on the advertising side, much more could be done with the data at their disposal.” I wonder if the recent focus on Facebook and Cambridge Analytica threats Nielsen’s large position on consumer data and how it can use it going forward?
Great post! https://www.cnbc.com/2018/02/01/why-ebay-abandoned-paypal-for-a-smaller-european-competitor.html
It will be interesting what eBay’s decision to switch from PayPal to Adyen for payment processing will do for the company’s business model. Given Adyen’s global presence (in 200+ countries) and status as an acquiring back (granted a European banking license in 2017) – it will be interesting to see if eBay goes down the route of financing purchases in the third world.
Very interesting post! “Over the past 5 years, successful new hits, increasing in-game transactions, and higher profit margins have led ATVI’s share price to appreciate over 400%”. I wonder if there is a concern that in-game transactions lead to shameless “money-grabs” that will led to the cheapening of ATVI’s share price as a result of a classic pay-to-play model which un-evens the playing field?
Agree with MHS’s point on keeping the consumer engaged as it’s important for Lays not to become a stale brand in the eyes of the consumer. However, more of a vetting process needs to be put in place in order for fake submissions such as “7th Grade Locker Room” (they are lucky that it wasn’t worse!) don’t rise in popularity on their website. A very public scandal with a fake submission could be very detrimental to the brand.
Very interesting blog post! I’m particularly interested in if anything will change on a go-forward basis given the recent news & public outcry on Facebook’s privacy policies. Will the company be limited in the scope of this offering in its limited ability to use personal & location data? This article: https://www.cnbc.com/2017/06/08/facebook-disaster-relief-tool-company-promises-privacy-and-safety.html states that Facebook keeps personal data collected with the disaster relief tool private, but will more regulation come?