The Data Republic is a data 2.0 recycling company. We transform data generated through the Internet into information. For us, data 2.0 are the raw material and our major differentiation, distinguishing between two types:
- Public data 2.0: data from the social web (a comment on Twitter, the rating and review of a hotel, a photo uploaded to Flickr, etc.) and open data (socio-economic statistics or availability of public services such as Bicing, for example ).
- Private data 2.0: this is data owned by online businesses on their activity (sales, customer data, etc.).
Our business is to generate value for companies through data 2.0, with three main goals:
- Helping businesses and institutions to achieve their strategic and commercial objectives, from improving their position or reputation to increase their sales.
- To market private data 2.0 treated as a byproduct by on-line companies, that is to say, sell their data to third parties transformed into information.
- Contributing to the generation of open data, helping to create greater transparency in the management of governments, cities or public services.
What Data 2.0 is for us?:
- Web 2.0: The Internet of the People
- The Internet of Things
Some of our fields of interest:
- Data 2.0 market research for businesses and organizations
- Analysis of businesses and organizations’ insight data
- Geolocation applied to business and economic analysis
- Business intelligence for local development
- Urban and cities development
- Mobility patterns
How we do it?:
- Extracting any relevant public data from the Internet / Data mining private databases
- Refining the data
- Visualizing the data
- Analyzing the data
For us, Internet public data is, for example:
- User Generated Content at social websites
- Open Government Data
- Public APIs
- Product info or user ratings at online shops or any kind of websites
- Data generated from the Internet of Things
In summary, analyzable Internet data, including databases owned by companies and institutions, that can be refined, visualized, analyzed and even merged with data 2.0.