Competing with Data Challenge

April 09, 2018

Read The Full Prompt

In this module we have examined how data and analytics can be utilized in organizations of all types. For this assignment, please choose a company that uses data in a creative way to drive value creation, capture or operating model and then describe:

  • What does the usage or analysis of data create value for the company? How is it different from its competitors?
  • What does the company capture value from data and analytics? How is it different from its competitors?
  • How did it get to where it is now? What challenges did the company have to overcome? What challenges and opportunities do you anticipate for the company in the future?
  • For companies that failed to grow data-driven business models, what are the root causes for such failures?

Please try to use data and analytics to illustrate your arguments when possible. Create an approximately 500-750 word post at digit.hbs.org.  Please create appropriate tags for your post. Please also respond to and comment on three other posts before class. Feel free to use graphics, data, videos and links to other sites to corroborate your points.

Responses (85)

The story behind Toutiao, the $20 billion news aggregator app
Peter Chen
Last modified on April 9, 2018 at 5:38 pm
Toutiao, a wildly popular news reader app in China, has recently reached a valuation of $20 billion in last round of $2 billion fundraising. Started by a former software engineer Yiming Zhang in 2012, Toutiao experienced exponential growth for the [...]
SOFI
Christie
Posted on April 9, 2018 at 5:42 pm
Historically, financial institutions have relied on FICO credit scores to determine whether or not to make loans to individuals. SoFi uses customer data to personalize lending, enabling them to offer lower rates and savings for customers.   SoFi was initially [...]
Starbucks’ secret ingredient: data analytics
Rachel
Posted on April 9, 2018 at 3:22 pm
Starbucks is one of the largest and best-known companies in the world, with over 27,000 stores and $22 billion in revenue last year[i].  And the secret ingredient to much of Starbucks’ success is its innovative use of data analytics. Data [...]
Amazon and Big Data
Walter
Posted on April 9, 2018 at 5:58 pm
How Amazon combines its customer-centric approach with data-driven decision making to create and capture value.
Is Quant the New King in Town?
LT
Posted on April 7, 2018 at 2:06 pm
The "quant" revolution in trading is well underway, but how do they leverage their data and what new risks does this introduce?
DARE TO LIE?
AyhanSebin
Last modified on April 9, 2018 at 4:12 pm
Deception Analysis and Reasoning Engine (DARE) leverages Artificial Intelligence to detect deception in the courtroom. The researchers trained the Artificial Intelligence to detect five different micro-expressions. Five micro expressions related to lying are frowning, eyebrow raising, lip corners turning up, [...]
Vitality: A data-driven approach to better health
EIO
Posted on April 9, 2018 at 4:56 pm
If you were rewarded to engage in healthy behaviors, would you take better care of yourself? Vitality, founded in South Africa, is the world’s first health insurer to use behavioral economics and data analytics to incentivize customers to live healthier. [...]
Using data analytics to bend morbidity curves
Crystal
Last modified on April 9, 2018 at 4:35 pm
Through behavioural economics and data analytics, the Vitality wellness program has allowed dynamic underwriting that creates value for insurance companies and their members
MedAware – Using AI to eliminate prescription errors
JY
Posted on April 9, 2018 at 5:04 pm
MedAware's machine-learning algorithms mine data gathered from millions of electronic medical records to detect outliers in prescription behavior and flag them in real-time to healthcare providers
LEVI’S & INTEL – RFID PILOT AT LEVI’S
CW
Posted on April 8, 2018 at 1:23 pm
Intel team members designed and implemented radio-frequency identification (RFID) tags, in-store sensors, a gateway system, and cloud-based analytics into an extensible open-source platform in order to deliver near-real time inventory monitoring.