This blog will look at the concept “Data is the Intel Inside“. The second of eight patterns as defined by Tim O’Reilly during a conference on Web 2.0. So what does this mean? The phrase means that data weather it be the user or privately created is becoming a commodity.
“During the Web 2.0 conference O’Reilly confessed that having access to large amounts of data is in many instances more important than creating great algorithms” — Why is this so? As the web continues to evolve data is such an important aspect, Internet applications, success often comes from data, , not just function.
You can either be part of the data as users such as flicker or youtube where users upload their images/videos, in other words users are the data. Another aspect is users collecting data via websites (wikipedia, google etc). I believe we are moving into the stage where data will continually be reused. A great example is social media sites (facebook, google+, twitter etc) once users upload their content (images/posts/videos) these data can be reused via other websites/web 2.0 tools. Data contribution leads to collection and then distribution via the web which leads to organizations gaining exposure or even increase in earnings.
Ever heard of the web 2.0 application Food spotting?
Food spotting is a website and app that allows people to find and recommend food! It is particularly useful because of the map feature it has, users with the application can look at current food trends in the areas they wish to look at. For example, once you have signed up you can either upload an image of the food you would like to share, this can be done via their website or through their mobile app (which is much more convenient on the go).
IT’S ABOUT DISHES
Discover nearby dishes, find whatever you’re craving & see what’s good at any restaurant. -Google Play
It makes finding good food as easy as looking in a bakery window.
What is great about food spotting is it utilizes the data of users and stores it on their application. Let’s take a look at an example, a person has just been to Southbank in Brisbane and went to Grill’d the awesome burger restaurant, they want to share their findings of this restaurant. They can upload their image to Foodspotting, which allows everyone who has the application to see what are the ‘ Latest in map area’ which shows the latest foods based on your selected location or current location (based on GPS). Another great aspect is that when you are viewing an image you can like it, want it or if you have tried it click tried it.
Let’s look at some best practices that “Foodspotting” has achieved with its data strategies-
1. Seek to own a unique, hard to recreate source of data
The unique thing about Foodspotting is the data shown are data from the users themselves.
2.Enhance the core data-
Foodspotting allow users to enrich data with user comments, liking it, wanting it or tried it. Which is a great way to engage the online community.
3. Let users control their own data
Food spotting does enable users to control their own data such as deleting and reviewing posts.
4. Define a data strategy
The advantage lies within the data being collected can be viewed by many.Users get to upload their current food explorations on the go from Global Positioning System (GPS)
5. Design data for reuse
Data reuses is fast becoming a major factor in the growth of the web. Foodspotting allows users to share the data they have uploaded. Even sharing other users foods via social media sites such as Facebook, google+ and twitter.
Foodspottings privacy use of data-