Competing with Data

March 23, 2021

Read The Full Prompt

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.)

Create an approximately 750 word post to make your contribution by March 23 at 6 p.m.

Please also respond to and comment on three other posts by March 24 at 8 a.m. Feel free to use graphics, data, videos and links to other sites to corroborate your points.

Selected posts will be discussed in class and also featured on the HBS Digital Initiative website.

Please prepare a 2-3 min summary of your blog post before class.

Submitted (33)

Disney Magic with Big Data
Almas Kaptagayev
Posted on March 22, 2021 at 7:58 pm
“Technology is lifting the limits of creativity and transforming the possibilities for entertainment and leisure.” - Bob Iger, Chairman and CEO, The Walt Disney Company
Starbucks: From Coffee Machines to Machine Learning
Stéphane V
Last modified on March 22, 2021 at 9:08 pm
With more than 20 million regular users on its US app, Starbucks collects more data in any single day than it serves Latte Machiattos. The result is a highly personalized, well-designed customer experience: “With whipped cream, as usual, I assume? [...]
ASOS: Meeting Your Fashion Needs with Data
Last modified on March 23, 2021 at 5:47 pm
ASOS is a British online fashion and cosmetic retailer. It reported a revenue of 3.3B GBP for the FY 2020 (19% growth over LY)[1]. The online retailer boasts of a highly data driven culture and attributes much of its growth [...]
The Perfect Blend: Starbucks and Data Analytics
Max Pakapol
Posted on March 23, 2021 at 5:12 pm
Every day, Starbucks grinds through mounds of coffee beans to serve its customers. In doing so, the company has also been collecting mounds of data that could be used to improve customer experience and business performance. In this article, we [...]
Symrise: AI to create new perfumes
Kanako Sakai
Posted on March 23, 2021 at 4:21 pm
For a long time, fragrances have been created by talented perfumers all over the world. Now, AI analyzes the formula and creates new scents that have a high success potential.