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Big Data in Practice - Coggle Diagram
Big Data in Practice
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Walmart
Having the right products in the right place at the right time, so the right people can buy them presents huge logistical problems that big data helps to solve.
One Walmart was losing sales on produce. They went to the big data team and found the issue was a pricing error. Sales recovered in days.
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Netflix
Have more than 80,000 micro-genres for recommending movies/shows.
Produce movies also therefore analyze which directors and actors viewers like and also which colors should be on the poster, position of the poster in the scroll menu, etc.
Shell
Sensors pick up millions (instead of thousands as was the case a few years back) of data points related to low frequency seismic waves, which indicates the likelihood of oil underneath. It then compares this data with data from successful sites to determine whether extraction should occur.
Data related to the state of the equipment used for drilling and when should maintenance be carried out.
Axciom
Collects data about customers from every source you could think of - credit score agencies, social media, online surveys, web browsing patterns, etc.
Runs analytics and sell the information to companies. Fe, sells information to banks on which customers to target with which products.
Nest
Learns your erratic routine and adjusts home temperature accordingly - even depending on how long it takes for your A/C/heater to operate.
Fe, your heating system keeps the house warm for an hour after its turned off. If you leave the house at 9am, Nest will turn off your heater at 8am.
Uber
Data on customer journeys to gauge demand, allocate resources, and set fares.
Analyze public transport networks in cities they serve, so they can focus coverage in poorly served areas and provide links to buses and trains.
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Apixio
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This is then used to create charts, correlations, dashboards, etc.
Lotus F1
Real time data used to make adjustments to every aspect of the car and to align it with driver's performance.
Data used to run simulations. Crucial because drivers can only drive in the car for 3 weeks pre-season. Data gives ability to test car performance on a certain track in a simulation
Sensors attached all over the car record things like amount of fuel burnt, tyre pressure, g-force, actions taken by driver, etc.
Butcher Shop
Placed different things on window display to see what attracted the most customers. The metric used was the number of people who stopped to look at the window and then walked in.
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Sensors to measure footfall created a new revenue stream. Sell cooked food late at night because people leave the pubs hungry and 2 pubs near the shop are open until late.
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AirBnB
Collects data about travelers such as what is important to certain people, when do they vacation during the year, etc.
Tries to sign up landlords in popular destinations at peak times and uses algorithms to price the property based on a number of variables.
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US Women's Cycling
Data relating to sleep, diet, training intensity, etc., were recorded and patterns were mapped to create optimized programs for the athletes.
One athlete was provided with a water cooled mattress because she got better deep sleep when her body temperature was cool and this caused her to perform better.
ZSL
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Data can be used with predictive modeling algorithms to anticipate future movements and highlight areas where species are at risk.
Facebook
Collecting data about us - what we like, dislike, etc., and then using this data to sell us advertisers' products.
Sprint
Data related to location, behavior, and demographic is collected and used for more targeted advertising.
This is literally another revenue stream for sprint. They have so much customer data that they use for targeted advertising + their regular telecommunication lines.
Dickey's BBQ Pit
Data is collected from P.O.S systems, marketing promotions, customer surveys, etc.
Real time data used to make tactical decisions. A sales base is expected at every chain and fe, lunch sales for ribs are lower than expected. A message can be sent to people within a 6 mile radius that the branch is having a promotion on ribs.
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John Deere
Data from sensors on farmer's machines, weather data, financial data, and aggregated data from users around the world are presented to farmers on a portal.
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Royal Bank of Scotland
Use data on their customers, including account transactional history and personal information, to determine what products or services would be most useful.
LinkedIn
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Also allows you to see who's viewed your profile and information about the person who viewed your profile such as industry they work for, keywords used to bring the person to your profile, etc
FitBit
Gathers data about your health. You could give up this information to certain companies to receive better products fe, lower health insurance payments.
AutoDesk
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Data is used to understand what updates customers want to see on the software. Data is used to allocate resources. If one problem uses more customer agents than average, then allocate resources to fix that problem. Also cuts out middleman which saves money and generates better satisfaction.