Many organizations use large data and data analytics as an essential asset in their business. Think about how Waze collects and analyzes millions of queries every day to estimate traffic flows, or UPS uses hundreds of thousands of sensors to track millions of packages each day to feed users information about the progress of their shipments.
For this assignment, please choose a company that uses large data or data analytics to enhance its business. In other words, big data can be valuable in the context of offering a service or as a complement to another business process. What type of processes generate and renew that asset? What type of investments and process put that asset to use, and creates value for the company? How does the company capture value from large data and analytics? What challenges did the company have to overcome to make use of the assets? What challenges and opportunities do you anticipate for the company in the near term?
Devote most of the space to value creation, but feel free to make observations about aspects of the value capture strategy. (Once again, to make it interesting, please stay away from big data use by the big five – Amazon, Google, Facebook, Apple, and Microsoft.)
750 words max
Create an approximately 750 word post to make your contribution by October 18 at 6 p.m.
Please use graphics, data, videos, and links to other sites to corroborate your points. These additional links do not count against your word limit.
Please also respond to and comment on three other posts per module. Comments are due by October 19 at 9 a.m.
Selected posts will be discussed in class. Please prepare a 2-3 min summary of your blog post before class.