Banking Use Case
See how banks can use Workday Prism Analytics.
Answer key questions by blending loan, asset management, customer, FICO, Workday data, and much more in your own data hub for finance and HR.
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Questions you can answer.
- How many loans and which types were processed by each individual worker?
- How long does it take each worker to approve loan applications?
- Which loan underwriters or brokers are booking the most revenue?
- Which factors best predict delinquency and charge offs (down payment, credit score, asset type, employment, and so on)?
- Which loan products are out of policy?
Data sources you can ingest.
- Loan origination systems
- Loan servicing systems
- Customer systems
- Asset management systems
- FICO scores
- Other specialized lending systems
Blended metrics you can generate.
- Loan volume by type
- Loan volume by worker
- Loans by length of time
- Gross income by worker
- Paid in full/on-time vs. in-collections/charged-off
- Correlation of asset types to loan servicing
- Percent of loss based on downpayment per asset
- Loan to value (LTV)
- Percent of income per loan payment
- FICO scores
- Expense/income ratio by product, loan officer, policy
Ready to learn more?
Reach out to us or take a closer look at Workday Prism Analytics.