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 d3.harvard.edu/platform-digit.  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.

Submitted (85)

Cogito – AI for a Better Human Customer Service Experience
Al
Posted on April 9, 2018 at 3:29 pm
Cogito uses real-time emotional intelligence software that incorporates AI and machine learning to analyze voice calls and assist call centers to better engage with their customers.
23andMe: Creating too much value from data?
kt
Posted on April 9, 2018 at 2:32 pm
23andMe is one of Silicon Valley’s latest unicorns – now valued at over $1B with over $491M in venture capital investment. While they provide a valuable service to consumers, should we be wary of handing over this immensely personal data?
Data Science and Your Local Utility Company
A.J. Steinlage
Posted on April 9, 2018 at 5:58 pm
Duke Energy, despite being part of “an inherently slow-moving sector,” is among many utility companies reaping the benefits of data science.
Netflix: Disrupting creation with big data
Pumchanut
Posted on April 9, 2018 at 4:30 pm
Netflix was founded back in 1997 with the aim to disrupt video store with a new business model, DVD by mail. Since its inception, Netflix business model has shifted drastically. Today the company is valued at over USD 128 billion [...]
Adobe: Automating Marketing Campaigns
m_watson
Posted on April 9, 2018 at 11:31 am
Adobe is using analytics and artificial intelligence to recommend all elements of marketing campaigns: what content to use, what channels to use and how to time the campaign. Critically though, the AI is dependent on historical data to inform future [...]
#include1billion – Financial Inclusion by Data Analytics
Taka
Last modified on April 8, 2018 at 3:07 pm
Lenddo and EFL are trying to achieve financial inclusion of underbanked population by using alternative scoring model using social media, mobile phone and psychometric data.
Vitalitydrive: Improving your driving
ABC
Posted on April 9, 2018 at 5:30 pm
South African insurance company Discovery reduces claims cost 11% by helping its insurers drive better ... and save up to 50% on fuel in rewards!
Vida Health: Marrying Data with Real Person Guidance
Laura Barnes
Posted on April 9, 2018 at 6:13 pm
Vida health matches your personal data with an in-person expert to give you personalized health advice and coaching.
Data is King
HBS2018
Posted on April 9, 2018 at 5:30 pm
King is a video game development company that specializes in casual mobile games. The company's commitment to data collection and utilization helped it generate roughly $2 billion in 2017 and have kept its most popular game, Candy Crush Saga, as [...]
Robo Advisors and the business of automated advice
jklim
Last modified on April 9, 2018 at 2:49 pm
Roby advisory (“robos”), are low-cost automated investment platforms that utilizes mathematical algorithms to support investment decisions and create diversified financial portfolios. Analysts predict that by 2020 broadly defined robo advisory services are expected to manage between $2.2 to $3.7 trillion [...]
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.
C3 IoT: Machine Learning in Industrial Applications
Carlfuda
Posted on April 9, 2018 at 12:49 pm
C3 IoT is an enterprise software business creating valuable applications for large industrial businesses using machine learning and predictive analytics.
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