1 / 11

The NMEB Project

The NMEB Project. Project Proposal. N athan MURITH, M att WARD, E ita SHUTO, B rody BERG 9 April 2009. Content. The Concept The User The Interaction The Data. Concept. Provide high net-worth individuals with premium personal University endowment opportunities in Manhattanville

ania
Download Presentation

The NMEB Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The NMEB Project • Project Proposal Nathan MURITH, Matt WARD, Eita SHUTO, Brody BERG 9 April 2009

  2. Content • The Concept • The User • The Interaction • The Data

  3. Concept • Provide high net-worth individuals with premium personal University endowment opportunities in Manhattanville • Establish long-term corporate sponsorships of prestigious labs, classrooms and high-traffic areas • Do both using visualization software

  4. Users • Affiliated • Alumni or Friends of the University • High net-worth • 40+, Primary Donor, Wear Glasses • Commercial • Possible existing financial ties to the University • Long-term capital sponsors • 25+, Employee, College Educated

  5. Affiliated Users • Outlook • Identify with a school at the university • Prioritize endowment based on • Affiliation • Goal • Identify endowment targets based with maximum prestige within budget constraints

  6. Commercial Users • Outlook • Looking for optimum brand placement • Prioritize sponsorship based on • Impressions • Strong location correlation to the brand • Goal • Identify maximum exposure sponsorship opportunities

  7. Interaction - 1

  8. Data - Type • Building Info • Name and affiliation • Capacity / # rooms • Sponsorship “price” • Notable Places Info • Pedestrian / vehicle flow • Subway • Visible from Broadway / Hudson Pkwy

  9. Data - Representation • closer = more information (i.e. info about rooms or floors in a building) • further = less information (i.e. info about the building only) • color coded

  10. Questions ?

More Related