Burlington North and Santa Fe Management

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Introduction

BNSF (Burlington North and Santa Fe) was formed from the merger of Burlington North and Santa Fe railroads in 1995. The headquarters of the company is located in Fort Worth, Texas.

BNSF’s Dash 9 locomotives user an integrated microprocessor control system that provides on board diagnostics as well as other systems that improve fuel economy. BNSF is one of the major transporters of intermodal traffic in the world and leading grain-hauling railroad.

BNSF’s customers need an integrated approach to information and the supply chain so that they do not have to deal separately with brokers, truck lines, consolidators and steamships. With almost 100,000 active cars at any one time on route across the western half of the United States, an environment change such as a flood or storm on a main line necessitates rerouting and alerts all customers as rapidly as possible in order to retain schedules.

BNSF needed to better understand its customers, efficiently use its assets, increase revenues, and decrease costs. Forecasting and budgeting which were the major actions in its management were done by entering information by hand using extreme number of spreadsheets. As a result, it was tedious and time-consuming process. It required a powerful method of using those metrics in a number of reports and capabilities that would simplify the process.

BNSF also needed to supply a single basis of information relating to shipments from time of order to bill gathering in order to decrease overheads and more efficiently handle the invoicing procedure.

Business Question

BNSF management would like to answer the following question: Should we implement single source of information concerning shipments? It is understood that there wil...

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.... The new system will enable Corporate Dashboard affords and faster reaction time for decision makers.

Spreadsheet based forecast used before implanting BI for six months prior to implementation and six months after implementation will be used for comparison. A mean value will be computed with this comparison. The Z-test evaluates sample and population means to conclude if there is a considerable distinction.

A confidence level of 95% will be sufficient for each test to reject the null hypothesis.

Works Cited

(n.d.).The T-Test.Retreived August 11, 2011 from http://www.socialresearchmethods.net/kb/stat_t.php

(n.d.). Z-test. Retreived August 11, 2011 from http://changingminds.org/explanations/research/analysis/z-test.htm

Aronson EJ., King D., Turban E.and Shrda R. (2008). Business Intelligence A managerial approach. (p.33) Upper Saddle River, NJ: Pearson.
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