Data Science
Why good data is hard to find
The data marketplace suffers from severe and costly information asymmetries. These reduce the quality and value of available data.
Dan Averbukh
Financial data must be made point-in-time
Financial analysis will often yield incorrect results if the underlying data is not point-in-time.
Dan Averbukh
4 reasons blockchains are excellent for data validation
Ensuring integrity and trust: learn how blockchains can and should be used for data validation, data integrity and data provenance systems.
Dan Averbukh
Who cares about data provenance?
Knowing where data comes from is critical to understanding the data. This is particularly true for financial data due to its time sensitive nature.
Dan Averbukh
Whose data is worth more?
Data with validated provenance is worth more. A lot more in some cases
Dan Averbukh