Data is a company’s gold mine.
If managed well, it provides clarity and insight, which is an important tool for holding everyone accountable as well as leading to better decision making on scales. However, most companies are stuck with Data 1.0, which means they are leveraging data as a manual and responsive service. Some have started moving to Data 2.0, which employs general automation to improve team productivity.
The complexity of crypto data opens up new opportunities in data, i.e. to move data to a new frontier of 3.0, where you can scale to create values through systematic intelligence and automation. This is the journey of our Data 3.0. Coinbase is not a finance company or a technology company – it is a crypto company. These differences have a huge impact on how they work with data.
As a crypto company, They deal with three main types of data (instead of the usual one or two types of data), each of which is complex and diverse:
Financial: high precision subject too many financial/legal/compliance regulations.
Blockchain: Decentralized and universally available
Their focus is on how they can scale this value creation by eliminating data silos, resolving problems before they start, and creating opportunities that would otherwise not exist. For those who have worked in technology companies like LinkedIn and eBay and in the finance sector, including Capital 1, I have observed the evolution from Data 1.0 to Data 3.0 from the very beginning. In Data 1.0, data viewed as a response function to an ad-hoc manual service or firefighter in an emergency.
For those who have worked in technology companies like LinkedIn and eBay and in the finance sector, including Capital 1, I have observed the evolution from Data 1.0 to Data 3.0 from the very beginning. In Data 1.0, data viewed as a response function to an ad-hoc manual service or firefighter in an emergency.
