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Category Archive

Below you'll find a list of all posts that have been categorized as “defi INSIGHT”

Loan underwriting automation speeds loan approvals

CLOUD-BASED LOAN ORIGINATION SYSTEM: PROS & CONS

The defi Team March 15, 2024defi INSIGHT, Originations

Loan originations play a crucial role in the lending process, requiring financial institutions to balance processing applications efficiently and making…

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Community banks understand the lending needs of individuals and small businesses

LOAN ORIGINATION PROCESS EXPLAINED (AND HOW TO IMPROVE EFFICIENCY)

The defi Team March 14, 2024Banking, Compliance, defi INSIGHT, Originations

Businesses are always looking to make their operations more efficient, and it’s no different for consumer lenders. Because of its…

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Key loan origination platform features produce better lending results

5 KEY LOAN ORIGINATION PLATFORM FEATURES

The defi Team March 7, 2024defi INSIGHT, Originations

Unprecedented technological advances in the last decade or so have driven efficiency in the auto industry. Design, prototyping, manufacturing techniques,…

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Salesforce loan original system critique

UNDERWRITING COMPLIANCE: HOW TO ACHIEVE, MAINTAIN, AND DEMONSTRATE IT

The defi Team February 28, 2024Banking, Compliance, defi INSIGHT, Originations

The demands necessary to run an efficient, profitable lending operation must be balanced against compliance with constantly changing regulations. These…

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Representation of how the loan origination process is being reshaped by technology

RESHAPE LOAN ORIGINATION PROCESS WITH NEW LENDING TECHNOLOGY

The defi Team February 26, 2024Banking, Compliance, defi INSIGHT, Fraud, Originations, Reporting & Analytics, Simplifying Processes

Updated on 2/26/24 By leveraging modern technology, financial institutions can make daily interactions with their customers frictionless and effortless. Technology…

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Representation of loan origination automation benefits

10 AUTOMATED UNDERWRITING SYSTEM BENEFITS

The defi Team February 13, 2024Automation, defi INSIGHT, Originations

Underwriting is a critical phase in financial institutions that involves assessing the risk associated with offering financial products, such as…

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Credit risk management technology boosts approval rates

HOW CREDIT RISK MANAGEMENT TECHNOLOGY BOOSTS APPROVAL RATES

The defi Team February 8, 2024defi INSIGHT, Originations

Regardless of the economic climate, risk management remains an important factor for lenders to consider during the approval process. Shifting…

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Management discussing account takeover fraud prevention

CREDIT UNDERWRITING FRAMEWORK: KEY COMPONENTS TO CONSIDER

The defi Team January 30, 2024Banking, Compliance, defi INSIGHT, Fraud, Originations, Reporting & Analytics

A well-defined credit underwriting framework is essential for responsible lending and risk management. To meet the challenges of an ever-changing…

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Graphic depicting how to improve your lending business

HOW TO IMPROVE OPERATIONAL EFFICIENCY IN THE BANKING SECTOR

The defi Team January 23, 2024defi INSIGHT, Originations

Though there was a recent uptick, U.S. vehicle sales dipped at the end of 2023. Combined with the still-recovering auto…

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Salesforce loan original system critique

CREDIT UNDERWRITING USING AI: WHAT TO EXPECT

The defi Team January 19, 2024defi INSIGHT, Originations, Reporting & Analytics

In the financial industry, lenders use credit underwriting to assess the creditworthiness of borrowers. Advances in artificial intelligence (AI) make…

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Credit risk management technology boosts approval rates

DIGITAL ORIGINATION: 8 BENEFITS TO SPEED UP YOUR APPROVAL PROCESS

The defi Team January 17, 2024Banking, defi INSIGHT, Originations

Information technology (IT) has transformed all aspects of the lending sector, streamlining processes to benefit both lenders and borrowers. Banks,…

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Loan approval prediction using machine learning could help quickly find creditworthy applicants

LOAN APPROVAL PREDICTION USING MACHINE LEARNING

The defi Team January 16, 2024defi INSIGHT, Originations, X-General News

Key Takeaways ML models learn from historical data, which means biased or incomplete training data produces biased predictions at scale…

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