This paper provides a business requirements analysis for the Long Beach Mortgage company.
Written in 2007; 2,581 words; 5 sources; MLA; $ 78.95
Paper Summary:
In this article, the writer offers both a business requirements analysis for Long Beach Mortgage, using cases regarding the broker front office tool (BFOT). The writer explains that the BFOT system provides FlashQuotes that include loan modeling and pricing data in real-time from the loan origination system (LOS). In addition, this project discusses the real-time integration between FlashQuotes and the LOS, which permits loan quotes to be uploaded electronically and tracked as they are funded. The writer points out that inherent in these requirements is the need for tailoring quotes to the specific requirements of customers and their unique financing and loan needs on the one hand, and the need to deliver a quoting system easy enough to learn, use, and quickly traverse to capture loan prospect's needs on the other.
Outline:
Executive Summary
FlashQuote Business Requirements Analysis
Figure 1: Measuring FlashQuote Performance
Multi-System Integration Business Requirements Analysis
FlashQuote Use Case Analysis
Multi-System Integration Use Case Analysis
References
From the Paper:
"Creating an automated quoting system is one of the most effective online selling strategies any company can pursue, and this is especially true in financial services, Long Beach Mortgage's core business. The business development team has found in their initial research that existing approaches to completing quotes, generating pricing, and then tracking specific opportunities are for the most part manual. Like many financial services and manufacturing teams, they are also finding that every sales representative has a slightly different approach to creating quotes, pricing, and tracking them. The result is that often tracking the overall sales pipeline, or value of potential prospects in total across the entire company, is difficult to achieve."
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