Apple-heads and Amazon stans have cause for celebration, as the two most valuable companies in the world announced a plan to come together and solve the global problem of not being able to buy the latest iPhone models on the e-retailer's site. That's right, according to Bloomberg, soon you'll no longer have to head over to apple.com to purchase a whole host of Apple products including the iPhone XR, the iPad, the Apple Watch, the Mac, or even the Apple TV. Instead, you can keep your browser forever parked at amazon.com for all your online shopping needs. Well, unless you're one of the several people in the market for a HomePod, that is. That's because Amazon, which of course has its own home speaker and smart-assistant device, will not make Apple's version available for sale.
In this article, Part 1 of the latest in his series exclusive to Data Makes Possible, Dr. Kirk Borne, Principal Data Scientist for Booz Allen Hamilton, explains the importance and value proposition of improving the human experience in the digital enterprise, and why the year of experience must include customers, end-users, employees, and any other stakeholders. A few years ago, I heard someone describe their data product in this way: "analytics at the speed of your business." Well, no disrespect intended, but I think they got the message backwards. Because business is no longer able to keep up with the flood of data that is coming in, from forces and sources everywhere: social, mobile, internet, intranet, images, video, audio, and documents. Consequently, what you really need is business at the speed of your data!
Consolidating data from across the organization and using data analytics to make smart decisions are essential for delivering a seamless customer experience in an omnichannel environment. Retail IT departments can more easily assemble all the puzzle pieces -- hardware, software, connectivity, data storage, connectivity and more -- needed to implement and keep an omnichannel solution current. Fashioning an omnichannel customer experience requires retailers to create an ecosystem that shares data and analytics across the enterprise-wide software applications they employ. These applications include various ERP and e-Commerce systems running a wide range of programming languages, including R, Python, Java or Lua. This ecosystem should also make it easier to collaborate with supply chain partners and incorporate value-added technologies from third-party suppliers.