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Web-service Based Information Integration for e-Mortgage Contract Matchmaking Decision Support: A Case Study in Hong Kong. Introduction. Effective decision making often requires disparate information from heterogeneous sources
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Web-service Based Information Integration for e-Mortgage Contract Matchmaking Decision Support: A Case Study in Hong Kong
Introduction • Effective decision making often requires disparate information from heterogeneous sources • Significant contracts required gathering such information particularly slow and inefficient • Few studies in the end-users perspective • Case Study: HK real estate business • $$$$$ => important decision to end-user • Complexity of terms and conditions • Tedious and time-consuming process • e-Mortgage Contract Matchmaking Service (EMS) • Studies how the application of Web service technologies helps
Stakeholders • Representatives of buyers • provide advice and service in selecting properties • earn commission • add-on service to attract and assist customers in property acquisition • mortgage providers • highly competitive • value-added services • competitive edge • legacy systems • customer segmentation • property buyers • mortgage service applicants • looking for mortgage plans • individual financial needs • additional channels • accurate, timely, convenient, secure • complexity • Authorities / 3rd party institutions • providing credit history / rating • unbiased to various parties
Summary • Web services integrates disparate information to facilitate decision support • Attempts to address real-life problems: complexity of contracts and decision • Value added service from end-users’ perspective • Web Service Architecture (WSA) • provides an efficient channel to communicate among parties in the business processes • extend the value of current legacy systems • less paper exchange • more automated and accelerated processes
Future Work • Further enhancement and automotion of the mortgage application workflow • Reach a state of paperless and all-in-one stop for mortgage applications • Enhance the current built-in raking function: pattern recognition and data mining techniques • Abstracting the experience gathered from our case study to a higher level methodology and meta-model • Application of ontologies
Question and Answer Thank you!