Simplifying credit report management for faster loan processing and enhanced user experience

Challenges

- Technical language barrier in credit reports.
- Lack of automated analysis to detect discrepancies.
- Manual management of borrower and co-borrower data.

Solutions

- Developed a Lightning component to centralize credit report data.
- Integrated automated analysis to identify red flags.
- Implemented search and sort functionality to enhance report readability.

Results

- Reduced onboarding time by 30%.
- Increased loan processing speed by 25%.
- Improved user satisfaction, with a 40% rise in positive feedback.

The client is a publicly listed leading financial services provider in Canada. They specialize in offering Canadians credit-building products, guidance, and tools to improve their credit wellness.

The client was facing challenges with managing credit report details for loan applicants. The reports were often difficult to interpret due to technical language used by reporting agencies. The client sought a solution to centralize all credit report data, making it easy to read and eliminating the jargon, thus streamlining the process of loan application assessments.

Technology Mindz successfully transformed the credit report management system within Salesforce. We created a user-friendly platform by developing a Lightning component that centralized all relevant credit report data in one location. Our solution also included automated analysis for detecting inconsistencies and red flags, along with search and sort functionalities to improve the accessibility and readability of reports, significantly enhancing workflow efficiency and user satisfaction.

Key Industry

- Financial

Key Pains

- Difficulties faced by the client due to manual process of borrower’s credit report management.

Product Mix

- Sales cloud

Credit reports from reporting agencies were filled with technical jargon that was difficult for loan officers to interpret. This created a challenge for the client in presenting clear and understandable credit information to their users, slowing down decision-making.

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The client did not have an automated system to detect inconsistencies or red flags in credit reports. This led to manual, time-consuming processes to identify issues such as missing data, discrepancies, or deficiencies, which delayed the loan approval process.

Managing the credit report information of borrowers, co-borrowers, and co-signers was cumbersome. The data was spread across different tabs, making it challenging for loan officers to quickly access and compare relevant information, leading to inefficiencies in the loan application review process.

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  1. We developed a Lightning component that consolidated the credit reports of borrowers, co-borrowers, and co-signers into a single, easily accessible location. This centralized approach eliminated the need for loan officers to manually manage data across multiple tabs, significantly improving workflow efficiency.
  2. To address the technical language barrier, we introduced functionalities allowing the credit reports to be viewed in summary, full detail, and side-by-side comparison formats. This made it easier for loan officers to analyze the reports and provided a clearer understanding of the data.
  3. We implemented an automated analysis feature that flagged red flags and deficiencies in the credit reports. These issues were displayed prominently, enabling quick identification and decision-making, which improved loan processing speed.
  4. We introduced a search and sort feature that allowed loan officers to display only the relevant sections of a credit report based on specific search criteria. This functionality improved the overall readability of the reports, making it easier to focus on important details.
  1. Centralized Information: All credit report information for borrowers, co-borrowers, and co-signers was consolidated into a single location. This eliminated the need to manage multiple tabs and made it easier for loan officers to access the data they needed, leading to a smoother process.
  2. Improved User Experience: The credit reports were now presented in a more user-friendly format. The technical language was replaced with clear, understandable summaries, improving readability and ensuring that loan officers could quickly comprehend the data.
  3. Increased Efficiency: By automating the analysis of credit reports, we reduced the time spent reviewing and identifying issues. This resulted in a 25% increase in loan processing speed, allowing the client to handle more applications with less effort.