Difference between revisions of "ANLY482 AY2016-17 T2 Group14"
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| − | [[ | + | [[ANLY482_AY2016-17_T2_Group14| <font color="#FFFFFF"><strong>PROJECT DETIALS</strong></font>]] |
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| − | [[ | + | [[Group14_Project Poster| <font color="#FFFFFF"><strong>PROJECT POSTER</strong></font>]] |
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Revision as of 22:46, 8 January 2017
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Result |
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Contents
Geospatial Operational Insights for National Library Board
Team
Supervisor
Background Information
The National Library Board (NLB) is a statutory board of the Ministry of Communications and Information in Singapore. Preserving a sizeable amount of title collections in the regional and public libraries which it manages, the NLB seeks to serve as a reference source for the Singapore population to connect with the precious archives of the past. Strategically scattered over the island, the NLB has up to 27 Regional and Community Libraries under its arm. Beside from having a physical heritage collection, the young and the old can also access digitized materials and resources online.
Project Motivation & Problem Statement
In this age of information, we see an increase in necessity for people and businesses to have a greater access to space and resources to further their personal and corporate needs. Libraries in Singapore are no exception to this trend.
In order to meet this necessity, NLB may not only have to find ideal locations within districts for additional libraries, but it also has to manage their resources wisely to meet public demand with respect to each location. Currently there exists this difficulty in measuring the operational readiness of the libraries given that the measure of public demand is not in dollars and cents; unlike that of typical corporations and organizations.
Constant change management in the location and resources within the libraries have led to the dire need of a reliable and standardized method which can measure the effectiveness of past policies, as well as an accurate predictive model to conduct what-if analyses for future plans. Thus, a user-friendly system which displays geospatial information based on significant data evidence would provide operational insights valuable to the NLB.
Besides taking geospatial information into consideration, NLB is also motivated to leverage on an effective model (which uses relevant metrics regarding book collections and user transaction information) to accurately measure the attractiveness of existing and potential libraries.
Project Objective
Develop a geospatial dashboard that would facilitate the NLB’s evaluation of different potential library siting locations through better prediction of the catchment and number of patrons it can potentially attract.
Assess earlier models which have been used to evaluate the attractiveness of libraries and refine them in order to increase the accuracy and reliability of results.
Desired Outcome
The geospatial dashboard will potentially contribute to: • the planning/promotion of content and services that are localised to the specific population to be served • the evaluation of the attractiveness of future NLB library locations
Timeline
| Data Analytics Lifecycle | Task | In Charge | Status | |||
| Project Initiation | ||||||
| Week 1 | Project Initiation | Everyone | Completed | |||
| Self-Learning Essential Tools | Everyone | In Progress | ||||
| Discovery | ||||||
| Week 2 | Domain Understanding | Everyone | Not Started | |||
| Framing the Problem | Everyone | Not Started | ||||
| Identifying potential data & parameters needed for attractiveness analysis | Everyone | Not Started | ||||
| Data Preparation | ||||||
| Week 4 | Learning about the data | Everyone | Not Started | |||
| Performing ETLT | Everyone | Not Started | ||||
| Model Planning | ||||||
| Week 5 | Old Model Testing | Everyone | Not Started | |||
| Week 6 | Data Exploration | Everyone | Not Started | |||
| Variable Selection | Everyone | Not Started | ||||
| Buffer | ||||||
| Week 7 | Midterm Preparation Week, Project Halt | Everyone | Not Started | |||
| Model Building | ||||||
| Week 8 | Model Building | Everyone | Not Started | |||
| Week 9 | Model Calibration | Everyone | Not Started | |||
| Result Interpretation | Everyone | Not Started | ||||
| Result Communication | ||||||
| Week 10 | Model Comparison | Everyone | Not Started | |||
| Model Selection | Everyone | Not Started | ||||
| Week 11 | Model Revision | Everyone | Not Started | |||
| Dashboard Development | Everyone | Not Started | ||||
| Week 12 | Web Application Completion | Everyone | Not Started | |||
| Data Analytics Wrap-up | Everyone | Not Started | ||||
| Project Final Deliverables | ||||||
| Week 13 | Project Poster Write-up | Everyone | Not Started | |||
| Project Report Write-up | Everyone | Not Started | ||||
| Project Wiki Page Update | Everyone | Not Started | ||||
| Project Wrap-up | ||||||
| Week 14-15 | Project Final Presentation Preparation | Everyone | Not Started | |||
| Project Documentation Preparation | Everyone | Not Started | ||||
| Project Closure | ||||||
| Week 16 | Project Final Deliverables Submission | Everyone | Not Started | |||
| Project Final Poster Day | Everyone | Not Started | ||||
