Data-as-a-Service is a marketplace with a data vendor and a data buyer
The Data Vendor who sells data
The vendor finds the right place in the marketplace, sometimes in more than one category
Sets up booth to sell his unique fruits Puts the right fruits in the right standardised bowls
Decides if each fruit is free or paid: - by call - by subscription or - by bundle
The Data Buyer who acquires data
The buyer walks into the very accessible marketplace
Notices the vast number of booths Sees the tight security and the monitoring cameras
Consults the complete data map Sees the different data point providers
Visits many different vendors Reads the standardized descriptions of the fields on the bowls
Some data he likes, some others he doesn’t find credible and some others he thinks his readers will like Chooses a mix of free and paid data
Stops by the social data area where users have home-grown their own data and contributed to the marketplace Decides which social data is likely to please his stakeholders and puts them in his basket
Finds everything he needed because of the ease and the vastness of choice Brings all the data he has selected to the checkout
Pays V10data who, in turn, compensates the selected data vendors according to the selected pay plan : per-call, subscription or bundle
Carries the data home to use for his content and stakeholders in V10-labelled bags (called APIs)
Cooks and transforms the data with his unique recipe Presents the pertinent data to his stakeholders, to his consumers, to his advertisers in the format they are looking for
Shows where the data came from and makes sure each vendor is properly recognised