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New data sets are paraded before the lending market constantly, each promising to provide all the information needed to understand customers inside and out. The individual value of these data types varies greatly, as does the level of automation required to access, filter and standardize it into formats that can be easily analyzed. But when combined, these data sets can be useful for lenders when assessing the financial health of a company.
Here’s a look at the types of data lenders must evaluate and the level of automation required to access it.
LOW LEVEL OF AUTOMATION
Traditional Data
MEDIUM LEVEL OF AUTOMATION
Useful 3rd party data
HIGH LEVEL OF AUTOMATION
Accounting Data
Open Banking
New Data
Regardless of which data set or combination of sets you leverage, a truly optimized lending process that harnesses the power of data must be digital.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Ritesh Jain Founder at Infynit / Former COO HSBC
23 January
Perry Carpenter Chief Human Risk Management Strategist at KnowBe4
21 January
Todd Clyde CEO at Token.io
Oleg Chanchikov CEO at CapyGroup
20 January
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