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Enhancing e-Mortgage Decision Support through Web Service Integration: A Hong Kong Case Study

This case study explores the implementation of web service-based information integration for e-mortgage contract matchmaking in Hong Kong's real estate sector. Addressing inefficiencies in decision-making due to disparate information sources, the study highlights the complexities faced by buyers and mortgage providers. Through the e-Mortgage Contract Matchmaking Service (EMS), it demonstrates how web technologies streamline the acquisition process, enhance customer support, and improve communication among stakeholders. The findings emphasize the need for automation and future advancements in mortgage application workflows.

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Enhancing e-Mortgage Decision Support through Web Service Integration: A Hong Kong Case Study

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Presentation Transcript

  1. Web-service Based Information Integration for e-Mortgage Contract Matchmaking Decision Support: A Case Study in Hong Kong

  2. 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

  3. Typical Flow of Property Acquisition

  4. 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

  5. Message Flow

  6. System Architecture

  7. Web Service Operations

  8. UML Concept Model for EMS

  9. Sample WSDL

  10. Sample SOAP Message

  11. Mortgage Quote Request Flow

  12. Mortgage Quote Process Flow

  13. XML with Security Control

  14. Example Weight XML

  15. Ranking

  16. Ranking - Result

  17. 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

  18. 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

  19. Question and Answer Thank you!

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