Add to favorite
View Favorites
Credit Union – Loan Performance Dashboard
Analysis of loan metrics such as approved/declined and defaults with trends and comparisons.
What is a Loan Performance Dashboard? Loan Performance Dashboards are considered operational analysis tools and are used by executives and loan product managers to monitor trends in approvals and defaults and compare loan metrics across credit union branches. Some of the main functionality in this type of dashboard is that it provides analysis from eight different perspectives including: 1) Monthly trend in total loan applications and loans approved versus declined, 2) Loans approved by product, 3) Monthly trend in loan defaults, 4) Loan approval count by branch, 5) Loan default count by branch, 6) Loan approval amount by branch, 7) Top five loan default count by branch, and 8) Top five loan default amounts by branch. You find an example of this type of dashboard below.
Purpose of Loan Performance Analysis Dashboards Credit Unions use Loan Performance Analysis Dashboard to give leaders an easy way to monitor loan trends and benchmark metrics across credit union branches. When used as part of good business practices in Executive-, Loan- and Financial Planning & Analysis (FP&A) departments, a company can improve its loan strategies and offerings, and it can reduce the chances that potentially poorly designed policies lead to excessive loan defaults.
Who Uses This Type of Dashboard? The typical users of this type of dashboard are: Executives, CFOs, Loan Managers, Analysts, Regional Managers, Branch Managers. Other Reports Often Used in Conjunction with Loan Performance Analysis Dashboards Progressive Executive-, Loan- and Financial Planning & Analysis (FP&A) departments sometimes use several different Loan Performance Analysis Dashboards, along with detailed and summary loan reports, profit & loss reports, balance sheets, cash flow statements, budget models, forecasts and other management and control tools.
Where Does the Data for Analysis Originate From? The Actual (historical transactions) data typically comes from enterprise resource planning (ERP) systems like: Microsoft Dynamics 365 (D365) Finance, Microsoft Dynamics 365 Business Central (D365 BC), Microsoft Dynamics AX, Microsoft Dynamics NAV, Microsoft Dynamics GP, Microsoft Dynamics SL, Sage Intacct, Sage 100, Sage 300, Sage 500, Sage X3, SAP Business One, SAP ByDesign, Acumatica, Netsuite and others. In analyses where budgets or forecasts are used, the planning data most often originates from in-house Excel spreadsheet models or from professional xFP&A solutions.
Purpose of Loan Performance Analysis Dashboards Credit Unions use Loan Performance Analysis Dashboard to give leaders an easy way to monitor loan trends and benchmark metrics across credit union branches. When used as part of good business practices in Executive-, Loan- and Financial Planning & Analysis (FP&A) departments, a company can improve its loan strategies and offerings, and it can reduce the chances that potentially poorly designed policies lead to excessive loan defaults.
Who Uses This Type of Dashboard? The typical users of this type of dashboard are: Executives, CFOs, Loan Managers, Analysts, Regional Managers, Branch Managers. Other Reports Often Used in Conjunction with Loan Performance Analysis Dashboards Progressive Executive-, Loan- and Financial Planning & Analysis (FP&A) departments sometimes use several different Loan Performance Analysis Dashboards, along with detailed and summary loan reports, profit & loss reports, balance sheets, cash flow statements, budget models, forecasts and other management and control tools.
Where Does the Data for Analysis Originate From? The Actual (historical transactions) data typically comes from enterprise resource planning (ERP) systems like: Microsoft Dynamics 365 (D365) Finance, Microsoft Dynamics 365 Business Central (D365 BC), Microsoft Dynamics AX, Microsoft Dynamics NAV, Microsoft Dynamics GP, Microsoft Dynamics SL, Sage Intacct, Sage 100, Sage 300, Sage 500, Sage X3, SAP Business One, SAP ByDesign, Acumatica, Netsuite and others. In analyses where budgets or forecasts are used, the planning data most often originates from in-house Excel spreadsheet models or from professional xFP&A solutions.
To learn more, visit the Resource Library.
View Favorites