Data-driven Value Creation, Value Capture and Operating Models

November 22, 2015

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 is the company’s value creation model? How does it depend on the creative usage or analysis of data? How is it different from its competitors?

•What is the company’s value capture model? How does it depend on the creative usage or analysis of data? How is it different from its competitors?

•How does its operating model (processes, capabilities, resources, and use of data) drive its business model (value creation and capture)?

•How did it get to where it is now? What challenges do you anticipate for the company in the future?

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

Submitted (137)

Palantir – Solving the “Biggest” of big data problems
Bougainvillea
Posted on November 23, 2015 at 12:15 am
Palantir - A discussion of its keys to success and what could threaten its mighty hold on big data analysis.
DoorDash; Delivery Made Better by Data
David
Posted on November 22, 2015 at 5:54 pm
DoorDash is both an online ordering and delivery company that’s using data to make delivery better and faster for customers and more efficient for delivery drivers.  The company aggregates large volumes of delivery data and analyzes how different factors affect delivery [...]
import.io & Web Scraping for the Average Joe or Jill
brandon
Last modified on November 22, 2015 at 10:43 pm
Why should just the big-shots have access to an unlimited flow of data from the unstructured web?
Noah Basketball — The Data Perfected Jump Shot
KMY
Last modified on November 22, 2015 at 9:35 pm
Noah Basketball is a machine vision tool that facilitates impactful basketball training through data-driven analytics.
The data anaLYSTs have taken over the fashion website – Lyst.com
mtv0302
Posted on November 23, 2015 at 12:32 am
Lyst is a data- and analytics-driven business that offers users an easier, streamlined way to discover and shop 1000s of products and provides retailers with a wealth of customer insights - and a better conversion rate.
Poshly: Helping beauty brands understand their consumers
PD
Last modified on November 22, 2015 at 4:04 pm
Poshly allows beauty brands to access consumers' personal information on beauty habits and tastes
Airbnb Leverages Machine Learning to Maximize Host and Company Revenue
Schwas
Last modified on November 18, 2015 at 10:12 pm
Airbnb, with its Price Tips pricing tool, is helping hosts better price their units to maximize rentals.
Slice: ‘data exhaust’ and creating value from byproducts
BS
Last modified on November 22, 2015 at 6:01 pm
Slice is one of many companies creating value from digital byproducts. Think of them as magic recyclers of the digital world.
Digital Disease Detection: Can We Predict the Next Ebola Outbreak?
RFD123
Posted on November 22, 2015 at 11:37 pm
Bitscopic is a startup using advanced big data, machine learning, and analytics to collate data from a variety of sources to predict and track disease outbreaks and biosurveillance for infectious diseases.
Monsanto & Climate Corp: Big Data Transforming the Agriculture Industry
LMT
Last modified on November 23, 2015 at 8:17 am
Shifting from intuition-based to data-driven decision making with Climate FieldView Digital Platform
dunnhumby: how Tesco destroyed £1.3bn of value in 9 months
Kathryn R
Posted on November 20, 2015 at 2:41 pm
For years, dunnhumby has been the secret link between retailers, manufacturers and customers. Their model of translating customer data into actionable insight has delivered significant value to all parts of the chain. So why, then, was Tesco unable to sell [...]
Gmail: ensuring a spam-free inbox with Machine Learning
Asaf Lifshitz
Posted on November 21, 2015 at 6:15 pm
Gmail tirelessly improves its spam filters to identify exactly which messages shouldn’t make it to your inbox
CVS Health’s ExtraCare Program: Four Feet of Data Analytics
Dani Johnson
Posted on November 19, 2015 at 5:21 pm
Did you ever wonder why your CVS receipt is four feet long? The answer: a depth of customer data analytics that drives value creation for the CVS customer and value capture for CVS Health
The National Hockey League: 2.5 million shots on goal and counting (and analyzing)
Fisher
Posted on November 21, 2015 at 1:40 pm
The National Hockey League partners with SAP to provide fans with enhanced statistics that have increased site traffic and fan engagement.
Starbucks: Brewing up a data storm!
Starfish23
Last modified on November 21, 2015 at 9:22 pm
Starbucks' use of data from geographic information systems (GIS) allows the coffee chain to optimize store location, perhaps explaining why it's feasible to have four Starbucks stores within a 1-mile radius in Harvard Square!
Big Data Takes Flight at Delta Air Lines
Sean L
Last modified on November 23, 2015 at 10:49 am
Embracing data analytics has helped Delta propel itself to the top of the US airline industry.
Wealthfront and the Future of Robo Advisors
hbs2016
Posted on November 22, 2015 at 5:29 pm
Wealthfront has disrupted the financial advisory industry by using analytics and algorithms to automate investment decisions. Will it be able to sustain its success?
Bonnaroo, iBeacons, and a better concert experience
Jon Staff
Posted on November 22, 2015 at 6:56 pm
Bonnaroo music festival uses iBeacons to enhance the concert going experience and capture big data
Tinder: You’re doing it wrong
NoSocks
Posted on November 22, 2015 at 8:50 pm
Tinder has a new algorithm, thinks you're doing it wrong
Predicting Cancer Recurrence – Genomic Health
JG
Last modified on November 18, 2015 at 1:04 pm
Genomic Health is a genomic-based diagnostics company that helps predict cancer recurrence.
Elementum Of No Surprise
John R
Last modified on November 23, 2015 at 4:35 pm
Elementum's supply graph gives real-time insights into your supply chain.
“Integrated Commerce” is IN….”Omnichannel” is OUT
#mustshop
Posted on November 22, 2015 at 11:25 pm
Physical retail stores no longer a "black box" for data: how Ralph Lauren and Oak Labs are changing the way retailers gather and use customer data
KnowRe’s data-driven adaptive learning tools for teachers and kids
Won't Not
Posted on November 20, 2015 at 12:30 pm
KnowRe uses bite-sized behavioral data to help kids learn math and help teachers step up their game
PredPol: Predictive analytics to place police officers at the right time and place to increase chances of preventing crime.
Mati G
Last modified on November 22, 2015 at 1:10 pm
PredPol is an analytic platform that assign crime probabilities to different places and times. With these insights, Police Departments can assign and schedule their patrols and officers to these dynamic “hot spots”, preventing crime and reducing significant costs to taxpayers.
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