3. Objective
• explore innovative & creative ways of
visualizing business data
• extract meaningful information from
structured & non-structured datasets
• Illustrate complex data in a simple way -
visually
11. Sneakerhead Market
• Evaluating a sneaker on a single number
(price) is like choosing a stock* based strictly
on price – it’s simply too narrow a view.
• With a stock you’d want to know, at the very
least, what it’s sold for over the past few
months, what the demand in the market has
been and hopefully, some insight as to how
the stock will fare in the future.
15. Explore data
• Collect data from Twitter and various
sources
• Get meaning from all the data
16. What can we do with all this
data?
• Can we identify which kicks to camp for
and which we can pick up at retail later?
• Who’s got a good deal?
• Is this seller hocking fakes?
• What is my collection worth?
17. What can we do with all this
data?
• How many pairs are on the market?
• In my size?
• For less than $200?
• What about that ultra rare pair I can never
find – can you tell me when it pops up for
sale?
Editor's Notes
Spent time in business world (pie charts, bar graphs) and would like to explore other ways of presenting data.
Michael Jordan stopped playing basketball in the 90s
Nike still releases Air Jordan sneakers
This is an Air Jordan sneaker – most popular in 2012
For decades camping outside of a sneaker store was the only way to get a hot release at retail.
Now, Nike releases shoes online, their stores use Twitter RSVP, sneaker shops hold Facebook contests and make you buy other merch for the chance the purchase sneakers. . . and five minutes later half the pairs are up on eBay.
Campless is the first real-time, analytic driven model of the sneakerhead market.
Supporting data from each eBay sale
We want to present all factors relevant to obtaining more of the collectible item.
