- Data Categories
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B2B Data 
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Healthcare Data 
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Industry-Specific Data 
Internet of Things (IoT) Data 
Legal and IP Data 
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- Data Categories
- Agriculture Data
- B2B Data
- Biometric Data
- Company Data
- Conservation Data
- Demographic Data
- Economic Data
- Environmental Data
- Geospatial Data
- Healthcare Data
- Individual Data
- Industry-Specific Data
- Internet of Things (IoT) Data
- Legal and IP Data
- People and Employment Data
- Political Data
- Psychology Data
- Real Estate Data
- Retail & Commerce Data
- Social Data
- Space Exploration Data
- Sports & Entertainment Data
- Web Data
Peyton | May 20, 2021 Effectively utilizing data for financial institutions
Hello, all. I work at an independent financial institution as a loan officer. I don’t have much data science experience but I do work with it. I have also seen several problems with the data analysis we utilize in our institution.
The main issue we face is that the analyses we have just don’t present a clear guideline. To be sure, the insights we gather can be helpful but we don’t end up making decisions based on the data like we would like to.
I have spoken with some colleagues involved directly in data and have confirmed that one solution would be to broaden the number and range of data sources. But perhaps there are some other general recommendations we should consider? Something that I could do for my department specifically?
Thank you in advance.
