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LatentView Analytics Corporation - Digital Lending Lifecycle Analysis for Financial Services

LatentView Analytics - Digital Lending Lifecycle Analysis for Financial Services This Power BI solution on Digital Lending Lifecycle is designed and developed to monitor the performance of e-lending from origination to processing and sheds light on the financing and repayment segments too. This solution also tracks the fraudulent cases along with insights. KPI’s like Applications count, Funded Applications, Decline in applications, Fraud and Dealer wise statistics are monitored using this dashboard. This dashboard helps business stakeholders and managers in the financial services space to assess their operational performance effectively.

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LatentView Analytics - Digital Lending Lifecycle Analysis for Financial Services

This Power BI solution on Digital Lending Lifecycle is designed and developed to monitor the performance of e-lending from origination to processing and sheds light on the financing and the repayments segments too. This solution also tracks the fraudulent cases along with insights. KPI's like Applications count, Funded Applications, Decline in Applications, Fraud and Dealer wise statistics are monitored using this dashboard. This helps business stakeholders and managers in the financial services space to assess their operational performance effectively.

Target Audience

This solution is targeted for business operations managers under digital lending space. The efficient fulfilment of demand, improved digital advertising, network resilience, and facilitation of financial success should be their top priorities and this solution helps them in their day to day operations.

Data Considered

Syndicated data sourced from multiple dealers, narrowing down to applications in different phases (Initial, Pre and Funded Approvals) along with fraudulent case details along with information on reasons

Business Problem - What is the problem we are trying to solve?

Finance team must form strategies to make sure they can fund as many as applications that are coming in and should reduce the fraud count in whole. Below are some of the key objectives for the stakeholders:

To understand the overall dynamics of digital lending lifecycle across all the stages
To know the reason why a certain application has been rejected
To observe and maintain the application statistics against each dealer
To know which dealer is funding the most and which is funding the least
To have an overview of the sections which are mostly receiving applications In terms of Payment Frequency and Income perspective
To observe the repayments missed at subsequent intervals and the loss at each.

Business Solution - How Power BI can solve this problem?

With Power BI, LatentView has created a framework to do end-to-end analytics for the Digital Lending Lifecycle use case. This module has segments for all the below stages in the digital lending lifecycle and businesses can pick and choose their area of interest accordingly.

Origination
Processing
Financing
Repayment
Fraud

We have developed this solution with drill down and deep dive enabled which can now enable Business users to get actionable insights on the go.

We can now help business users to understand “the trend over funded applications” and “what is the reason for rejection”.
With “Drill Down”, users can now do deep dive analysis on the go.
With the integration of Smart Narrative, different phase wise summaries are generated dynamically for the users.

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