UPS is no stranger to big data, having begun to capture and track a variety of package

movements and transactions since as early as the $1980$s$.$ The company now tracks data on

$16\mathrm{.}3$ million packages per day for $8\mathrm{.}8$ million customers, with an average of $39\mathrm{.}5$ million

tracking requests from customers per day. The company stores over $16$ petabytes of data.

Much of its recently acquired big data, however, comes from telematics sensors in over

$46,000$ vehicles. The data on UPS package cars $($trucks$),$ for example, include their speed,

direction, braking, and drive train performance. The data is not only used to monitor daily

performance, but also to drive a major redesign of UPS drivers$$ route structures. This

initiative, called ORION $($OnRoad Integrated Optimization and Navigation$),$ is arguably the

world$$s largest operations research project.

It also relies heavily on online map data, and will eventually reconfigure a driver$$s pickups and

drop$-$offs in real time of more than $8\mathrm{.}4$ million gallons of fuel by cutting $85$ million miles off of

daily routes. UPS estimates that saving only one daily mile driven per driver saves the

company $$30$ million, so the overall dollar savings are substantial.

Explain how this company can capture financial value by applying Big Data solution.