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Project Plan Dealer Improvement Recommender System The Capstone Experience Team Urban Science Ty Jones Ben Mastay Collin Myers Department of Computer Science and Engineering Michigan State University Spring 2014 From Students to


  1. Project Plan Dealer Improvement Recommender System The Capstone Experience Team Urban Science Ty Jones Ben Mastay Collin Myers Department of Computer Science and Engineering Michigan State University Spring 2014 From Students… …to Professionals

  2. Project Overview • Dealer consulting services of Urban Science use a “Logic Tree”  A hierarchal web of goals, Key Performance Indicators (KPIs), causes, and suggestions for dealerships • Our project: provide a complete system to model the logic tree, visualize it, modify it, and pass the updated tree to consultants in the field • Outlook: Eventually our system may be expanded to track the effectiveness of situational recommendations and facilitate quantitative refinements to the model The Capstone Experience Team Urban Science Project Plan 2

  3. Project Overview • Four main interconnected components:  Backend SQL database modeling the Logic Tree  Application server facilitating communication between web client, database, and iPad client  Web client allowing U.S. to visualize and refine the model  Extension to existing iPad app allowing on-site consultants to make use of the updated logic tree The Capstone Experience Team Urban Science Project Plan 3

  4. Functional Specifications • Web client:  Display a useful visualization of the model  Provide functions to create new and edit existing KPIs, causes, and recommendations  Provide the ability to create new and edit existing weighted relationships between KPIs, causes, etc.  Users should provide login information  Changes to the model should be audited  Saved changes must be reflected in database The Capstone Experience Team Urban Science Project Plan 4

  5. Functional Specifications • iPad App:  For on-site use at dealerships by consultants  “Bolt - on” extension to existing (last semester’s) app  Reflect changes to model in the app  Reflect weights on relationships in the suggestions provided to the user  Take input of KPI data extant in the current app and produce suggestions The Capstone Experience Team Urban Science Project Plan 5

  6. Functional Specifications • Backend SQL Database:  Models the Logic Tree and the relational weights between components  Maintains a record of changes • Application Server  Provides controlled access (user authentication) to the SQL database The Capstone Experience Team Urban Science Project Plan 6

  7. Design Specifications • Web Client  Visualization of the Logic Tree  Allow for editing  User Authentication  Editing history • iPad App  Extend the current Dealer Assistant App to provide access to the Logic Tree for suggestions  Use KPI as an input The Capstone Experience Team Urban Science Project Plan 7

  8. Screen Mockup: Login The Capstone Experience Team Urban Science Project Plan 8

  9. Screen Mockup: Control Panel The Capstone Experience Team Urban Science Project Plan 9

  10. Screen Mockup: Node Details The Capstone Experience Team Urban Science Project Plan 10

  11. Screen Mockup: Edit Node The Capstone Experience Team Urban Science Project Plan 11

  12. Screen Mockup: Add New Node The Capstone Experience Team Urban Science Project Plan 12

  13. Screen Mockup: Add New Node The Capstone Experience Team Urban Science Project Plan 13

  14. Screen Mockup: Add New Node The Capstone Experience Team Urban Science Project Plan 14

  15. Screen Mockup: Category View The Capstone Experience Team Urban Science Project Plan 15

  16. Screen Mockup: Category View The Capstone Experience Team Urban Science Project Plan 16

  17. Technical Specifications • Web Client – “Logic Tree Editor”  Written in C#.NET using ASP.NET MVC  Access database using Entity Framework  Data visualization using D3.js JavaScript library  Source code managed by Visual Studio Online • iPad App Extension  RESTful Web API to access app server  Written in Objective-C  Source code managed by git • App Server  Microsoft Azure Windows Server • Database  Microsoft SQL 2012 database The Capstone Experience Team Urban Science Project Plan 17

  18. System Architecture The Capstone Experience Team Urban Science Project Plan 18

  19. System Components • Hardware Platforms  Apple iPad • Software Platforms / Technologies  ASP.NET MVC  Azure Windows Server  Microsoft SQL Database  Entity Framework  RESTful Web API The Capstone Experience Team Urban Science Project Plan 19

  20. Testing • Web client  Unit testing C#/JavaScript code • iPad Extension  Suggestion comparison to the Logic Tree • Usability testing  Allow client to use the web client to assess its use and workflow The Capstone Experience Team Urban Science Project Plan 20

  21. Risks • Databases  Little to no experience with databases  Mitigation through C# framework to manage database interaction (Entity Framework) • ASP.NET MVC  No experience with this technology  Mitigation through tutorials and client knowledge • RESTful Web Services  What exactly IS RESTful? How is it implemented?  Researching RESTful, tutorials, and using client knowledge The Capstone Experience Team Urban Science Project Plan 21

  22. Risks • Translation of Logic Tree  Need to translate the Logic Tree into a database model  Working with client to solidify a schema that accurately captures and represents the Logic Tree The Capstone Experience Team Urban Science Project Plan 22

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