{"id":6452,"date":"2022-05-31T12:27:59","date_gmt":"2022-05-31T12:27:59","guid":{"rendered":"https:\/\/47billion.com\/?p=6452"},"modified":"2024-12-23T05:16:23","modified_gmt":"2024-12-23T05:16:23","slug":"how-to-improve-your-mortgage-processing-using-big-data-analytics","status":"publish","type":"post","link":"https:\/\/47billion.com\/blog\/how-to-improve-your-mortgage-processing-using-big-data-analytics\/","title":{"rendered":"How to improve your Mortgage processing using Big Data Analytics"},"content":{"rendered":"\n
\n“The proper use of data creates a virtuous profit cycle for the mortgage industry.”<\/em><\/strong><\/p>\n<\/blockquote>\n\n\n\n
As the mortgage industry becomes more competitive and challenging, lenders will need to find new and innovative ways to leverage and analyze the available data to be operational, practical, efficient, differentiated, and grow their business. It’s not enough to use data to know ‘what’ happened in the past. Lenders need to know what is happening in the present and what is likely to occur in the coming future while they still can take corrective actions and decisions.<\/p>\n\n\n\n
Companies that establish and continuously enhance their data analysis can reap the benefits of greater operational efficiencies, effectiveness, transparency improvements, risk reduction, and streamlined procedures. But the actual value of data insights is to create a competitive advantage in positioning themselves in advance of emerging market trends, identifying ways to improve profitability before anyone else, and most importantly, knowing how to meet the expectations of their borrowers and drive differentiated customer satisfaction. <\/p>\n\n\n\n
Key benefits of Advanced Analytics in Mortgage operations<\/strong><\/h2>\n\n\n\n
Advanced analytics employed in the mortgage origination domain helps mortgage lenders:<\/p>\n\n\n\n
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- Select and segment customers<\/li>\n\n\n\n
- Formulate strategies for mortgage offers<\/li>\n\n\n\n
- Predict the probability of delinquency<\/li>\n\n\n\n
- Detect credit fraud<\/li>\n\n\n\n
- Digitize and automate complex workflows<\/li>\n\n\n\n
- Reduce turnaround times<\/li>\n\n\n\n
- Accelerate the ROI<\/li>\n\n\n\n
- Improve customer satisfaction<\/li>\n<\/ul>\n\n\n\n
You can’t improve what you can’t measure<\/strong><\/h2>\n\n\n\n
Running a lucrative mortgage business is never a static job. It often involves constant assessment and correctly making essential and impactful decisions that vary from time to time.<\/p>\n\n\n\n
\nAre the loans that you originate lucratively? <\/em><\/strong>
When should you make the next hire? <\/em><\/strong>
How do you recognize and resolve bottlenecks in the process?<\/em><\/strong><\/p>\n<\/blockquote>\n\n\n\nFar too many mortgage experts choose to make decisions on instinct, a feeling that is easily wrought by cognitive bias, and are left grasping for answers when things don’t work out. This is the beauty of utilizing KPIs (key performance Indicators) and metrics to aid business decision-making.<\/p>\n\n\n\n
Mortgage lending KPIs and metrics track the effectiveness and efficiency of the loan process from start to finish, including sales, closing, and post-closure activities, application processing, underwriting, funding, and loan profitability. To develop the data analytics engine and identify the levers you can pull to change business outcomes. To explore basic and advanced data points that will be invaluable to begin understanding what’s going on under the hood of the Mortgage origination process, Marketing operations, Loan and customer information and debt collection.<\/p>\n\n\n\n
Measure and Improve the Mortgage Operations<\/strong><\/h2>\n\n\n\n
The KPIs that fall into this category are some of the simplest yet most important that a loan officer could track. They are broader-based in scope and provide a great deal of information on Mortgage overall health.<\/p>\n\n\n\n
Cost-to-Close<\/strong><\/h4>\n\n\n\n
Cost to Close KPI, as its name suggests, monitors how much it costs to close a loan. It calculates all direct and indirect mortgage costs, including advertising and sales-related charges, processing and administrative fees, and all loan-related closing costs. <\/p>\n\n\n\n
Mortgages Closed per Closer<\/strong><\/h4>\n\n\n\n
Closed Mortgages Closer KPI calculates each loan closing employee’s average productivity (volume per employee) and workload. Loan closing employees are often in charge of compiling all loan documentation for closing (e.g., borrower credit information, appraisals, tax documents, etc.) and loan documentation for loan servicing or sale to investors.<\/p>\n\n\n\n
Mortgages Closed per Secondary Employee<\/strong><\/h4>\n\n\n\n
Mortgages Closed per Secondary Employee KPI measures the average number of mortgage loans funded by the lending institution or company relative to the number of secondary loan marketing, reporting, and sales employees. This metric also measures the secondary mortgage employees’ workload and checks their performances.<\/p>\n\n\n\n
Pull-Through Rate<\/strong><\/h4>\n\n\n\n
The Loan Application Conversion Rate, or KPI Mortgage Pull-Through Rate, indicates the percentage of loan applications closed and funded by the lending institution. This KPI measures the efficiency, potentially wasted effort, and overall customer service levels within the mortgage lending function<\/p>\n\n\n\n
Cost Per Unit Originated<\/strong><\/h4>\n\n\n\n
This KPI assesses the efficiency relative to cycle times, staffing, office expense, and pull-through rate. Any flaws in these areas can result in high overhead costs, resulting in a high cost per unit. That impacts directly on profitability.<\/p>\n\n\n\n
Average Origination Value<\/strong><\/h4>\n\n\n\n
The average origination value KPI measures the total revenue generated for each Loan over a given time. It combines the underwriting and origination fees and any other fees added to income. If this KPI is low, it could mean that the average value of loans originated is down or that origination costs are below industry standards.<\/p>\n\n\n\n
Cycle Stage Length<\/strong><\/h4>\n\n\n\n
Examining cycle stages aims to delve further into the specific origination stages of each Loan and analyze the effects on a more granular level, similar to the more holistic average cycle time KPI has given above.<\/p>\n\n\n\n
Fallout Rate<\/strong><\/h4>\n\n\n\n
Lenders have conventionally used the fallout rate metric as a component of their rate-hedging assumptions. However, for a loan officer, the fallout rate is a barometer of their rate lock approach’s efficiency and ability to close loans.<\/p>\n\n\n\n
Average Cycle Time<\/strong><\/h4>\n\n\n\n
Average cycle time is an important performance metric to track the overall efficiency benchmark. Pull-through rates and loan profitability metrics have been directly related to cycle time.<\/p>\n\n\n\n
Abandoned Loan Rate<\/strong><\/h4>\n\n\n\n
This KPI measures the percentage of loan applications abandoned by borrowers after the lender approves. <\/p>\n\n\n\n
Incomplete Application Rate<\/strong><\/h4>\n\n\n\n
This KPI measures the percentage of closed applications for incompleteness or missing documentation. It also provides valuable insight into your workflow’s application and loan processing portions.<\/p>\n\n\n\n
Optimize Productivity<\/strong><\/h4>\n\n\n\n
Productivity typically measures the month-to-month basis and how many loans your team closes every month, closely linked with profitability.<\/p>\n\n\n\n
Borrower Share<\/strong><\/h4>\n\n\n\n
Borrower share KPI measures how many of your current customers are also mortgage borrowers at your bank or credit union. This KPI also helps find new leads while keeping initial lead-generation costs low.<\/p>\n\n\n\n
Loan officer (LO) productivity<\/strong><\/h4>\n\n\n\n
This is the most important metric that measures the performance of a loan officer. It is also the single most significant indicator of how well a lender serves its borrowers.<\/p>\n\n\n\n
Debt to Income (DTI) Ratio <\/strong><\/h4>\n\n\n\n
The DTI ratio KPI measures the amount of income a person or organization generates to service debt. A low DTI ratio implies that a borrower’s income is sufficient for debt payments, making them more appealing.<\/p>\n\n\n\n
Early Payoff<\/strong><\/h4>\n\n\n\n
Early Payoff KPI measures the mortgage prepayment penalty (some lenders charge when you pay part or all of your mortgage loan off early). <\/p>\n\n\n\n
FICO Credit Score<\/strong><\/h4>\n\n\n\n
A FICO Credit Score, or borrower’s credit score, is one of the vital indicators used to determine the probability that a borrower will make their mortgage payment. It creates a report that an investor might use to track the distribution of credit scores for loans a seller has delivered to the Investor. <\/p>\n\n\n\n
Funding Quality<\/strong><\/h4>\n\n\n\n
The funding Quality KPI uses to track and report the funding quality statistics for loans that a seller has delivered to the Investor. <\/p>\n\n\n\n
Geographic Concentration<\/strong><\/h4>\n\n\n\n
Statistical models reveal that a loan’s likelihood of good servicing is determined by geographic location and other critical performance variables. An investor can alleviate the risk of buying too many loans in a high-risk geographic location from anyone seller. It also ensures the diversification of their portfolio by offering higher premiums for loans in lower risk and\/or higher profit geographic areas. <\/p>\n\n\n\n
Loan Purpose Type <\/strong><\/h4>\n\n\n\n
A Loan Purpose Type of Refinance KPI indicates that borrowed funds are used to finance the payback of a debt from the proceeds of a new loan using the same property as security.<\/p>\n\n\n\n
Loan To Value (LTV)<\/strong><\/h4>\n\n\n\n
This KPI is beneficial for the Investor that might track and report the distribution of LTV ratios for loans that a seller has delivered to the Investor. <\/p>\n\n\n\n
Occupancy Type<\/strong><\/h4>\n\n\n\n
This KPI creates a report that an investor may use to track and report the distribution of occupancy and property usage types for loans that a seller has delivered to the Investor. <\/p>\n\n\n\n
Production<\/strong><\/h4>\n\n\n\n
It creates a report that an investor may use to track and report seller production by loan program type. <\/p>\n\n\n\n
Mortgage Loans Serviced per Mortgage Loan Servicing Employee<\/strong><\/h4>\n\n\n\n
This KPI measures the average number of loans serviced (i.e., loans managed by the bank) by each Loan servicing employee. <\/p>\n\n\n\n
Mortgages Closed per Loan Officer<\/strong><\/h4>\n\n\n\n
This KPI calculates the total number of mortgage loans closed by the lending institution and the average number of mortgage loan officers or originators working for the institution over a given time.<\/p>\n\n\n\n
Mortgage Applications per Processor<\/strong><\/h4>\n\n\n\n
Mortgage Applications per Processor measures the productivity of individual mortgage processors and the overall efficiency of mortgage application processes. <\/p>\n\n\n\n
Mortgage Applications per Underwriter<\/strong><\/h4>\n\n\n\n
It measures the total number of mortgage loan applications submitted by potential borrowers through all channels (e.g., phone, branch, web, etc.) over a particular time.<\/p>\n\n\n\n
Mortgage Loan Origination<\/strong><\/h4>\n\n\n\n
Mortgage Loan Origination measures the average operating expense incurred by the lending institution to originate (i.e., close and fund) a single mortgage loan. <\/p>\n\n\n\n
Mortgage Loan Servicing<\/strong><\/h4>\n\n\n\n