Question

1. How did the criminology students use data to improve performance of United airlines? Where else would a similar approach be applicable? At a place you have worked or a business you have frequented describe a performance quality issue? Outline how you would improve performance. What data would you collect? Who would you involve? What investments would you consider? .
2. At a place you have worked or a business you have frequented describe a performance quality issue? Outline how you would improve performance. What data would you collect? Who would you involve? What investments would you consider?

Answer 1

The students started a criminal justice program and mapped it to the United system and prioritized the data on above everything.

The students followed the activity in which they Color-code the pins and if they see clusters, there’s something wrong, whether bad design or the wrong speed limit. While following this activity, they observed the issue was at gate B24 which was 25% of the time at one gate. B24 was a regional gate used for close-in routings, such as to Minneapolis, so when there are changes in weather in Chicago, it affects them, too.

The data they collected was

Regional Fleet: 503

Airports Served: 339

Countries Served: 55

Daily Departures: 4,500

Employees: 87,500

Mainline Passengers Flown (first six months 2016): 47,916,000

Mainline Passenger Load Factor (first six months 2016): 81.7%

Regional Passengers Flown (first six months 2016): 20,587,000

Regional Passenger Load Factor (first six months 2016): 82.8%

The students structured the data into databases then imported it in a structured format. They brought multiple databases from across the enterprise, put them in a data warehouse and mined it across.

The improvements in United Airlines due to data visualization:-

1. Significant reduction in injury rates, which were not a focus point before
2. The reason behind the behavior of the particular set of customers and analysis helps in understanding the trend and take suitable and actionable item.

For any sales team of the company the same approach can be used.

For example, Berinato recalls the managers of the Osprey aircraft at Boeing needed to improve the efficiency of takeoffs and landings. But there were so many sensors recording so much data that “without visualization, detecting the inefficiencies hidden in the patterns and anomalies of that data would be an impossible slog.

The Boeing corporation used data visualization to spot patterns between different sensors sales and marketing teams can use the same principle with their different sources. The crew at visual.ly, for example, combine data from different sources into a single visualization and see a 72% increase in traffic