Table of Contents

Introduction Why Bank Statement Analysis is Important? Challenges in Manual Bank Statement Analysis
How Automation Can Help? What is AutomationEdge SolFlo for Bank Statment Analysis? Benefits of Automated Bank Statement Analysis
Conclusion

Introduction

Being a cornerstone of loan application processing, bank statement analysis is a time-consuming and labor-intensive process. Bank statement analysis is the process of reviewing and analyzing a bank statement to gain insights into a person or organization’s financial situation. The analysis involves reviewing the transactions listed on the statement, including deposits, withdrawals, and transfers, and categorizing them into income and expense categories.

There are a number of reasons for performing bank statement analysis, but most bank statement analysis is performed to evaluate a borrower’s financial health. For example, when a person approaches a banking organization for financial help, the banking organization checks the capability of the borrower’s financial health with respect to income and repayment capacity. After performing a bank statement analysis of the last 6 months of borrowers, banking and financial services make grading or scoring on income and spending analysis to grant loans, that’s what the basic purpose of bank statement analysis is.

Let’s discover more about bank statement analysis in this blog like why it is important and what is the solution to fast-track the bank statement analysis.

Why Bank Statement Analysis is Important?

Bank statement analysis is also useful for banking organizations for several reasons:

Why Bank Statement Analysis is Important?

    1. Risk Management
      Analyzing bank statements can help banks manage risk by identifying potential issues with a customer’s account, such as overdrawn accounts or bounced checks. This information can help banks make more informed lending decisions.
    2. Credit Worthiness
      Bank statement analysis is important for lenders and financial statements in getting insights into an individual’s financial behavior, the pattern of income, expenses, and overall financial management. Having this insight enables financial institutions to help them make informed decisions about whether to approve a loan or extend credit
    3. Fraud Prevention
      Banking organizations can use bank statement analysis to identify suspicious activity on customer accounts, such as large transactions or transactions that are outside the customer’s typical spending patterns. This information can help banks prevent fraud and protect their customers.
    4. Evaluating Cash Flow
      Bank statement analysis can help banks better understand their customers’ needs and financial habits. This information can be used to offer personalized financial advice, products, and services that meet their customers needs.

Challenges in Manual Bank Statement Analysis

As bank statement analysis include a high number of checkpoints for granting financial help, banking service struggle to manage all manually. As per the record, banking and financial organization received 19.2 million personal loan requests in a year. With such a high number of request banking organizations faces challenges like-

      1. Non- Standardized Data Format:
        Banking organizations receive bank statement analysis report in various formats such as Excel, PDF, CSV, email, scanned images, and others. Extracting this data, and converting it into the structured format as per the banking requirement makes bank statement analysis more time-consuming.
      2. Human Error:
        Manual bank statement analysis is prone to human errors, such as data entry mistakes or incorrect calculations, which can result in inaccurate financial information.
      3. Time-Consuming:
        Manual bank statement analysis can be a time-consuming process, especially for large organizations or businesses with a high volume of transactions. It may take days or weeks to complete the analysis, which can delay financial reporting and decision-making which further leads to delays in offering financial help to customers.
      4. Lack of Data Insights:
        Manual bank statement analysis may not provide the same level of insights and data visualization. This can limit the ability of organizations to analyze income and spending patterns to give grading or scoring as per the bank statement and give on-time financial help to its customers.
      5. Security Risks:
        Manual bank statement analysis can pose security risks, especially if sensitive financial information is being handled by multiple people. This can increase the risk of data breaches, fraud, and other security incidents.

How Automation Can Help?

Automation can greatly assist financial institutions in automating the time-consuming and repetitive process involved in bank statement analysis. It can simplify the data extraction, analysis, and verification of bank statements collected and also help banking agents in sharing knowledge base information to customers. With automation in bank statement analysis, banking organisations can better understand the customers financial behavior and take lending decision.

What is AutomationEdge Ready Workflow for Bank Statment Analysis?

AutomationEdge utilizes a combination of RPA+OCR+Machine Learning approach to reduce the manual intervention involved in performing the bank statement analysis process. Instead of banking employees working on steps involved in AutomationEdge RPA bot can-

  • Extract bank statements from multiple sources
  • Standardized the data as per banking requirements
  • Analyse borrower data to gain insights related to cash flow

Let’s see how bank statement analysis looks with AutomationEdge-ready solution workflow.

Automated Bank Statement Analysis Workflow
Going automation way in the bank statement analysis process, underwriters can generate accurate results on every file. And automation will also help in delivering a fast and frictionless loan review process for borrowers.

AutomationEdge RPA in Banking for
Productive Workplace

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Benefits of Automated Bank Statement Analysis

Using AutomationEdge-ready workflow for banking organizations not only get the easy of use but also relieve banking employees to get rid of manual processes. 

For example, one of the largest banks in India automated the bank statement analysis process with AutomationEdge-ready workflow and experienced below benefits-

  1. Performed 10000 bank statements/ day autonomously in 3-4 minutes
  2. 50% TAT reduction in executing the whole process
  3. Error-free bank statement analysis

Automated bank statement analysis some other benefits, including-

  1. Faster Loan Approval Process
    Automated bank statement analysis can save time and effort by eliminating the need for manual data entry and analysis. This allows for faster processing of large volumes of bank statement analysis and accelerates the loan approval process.
  2. Better Risk Management
    Automated bank statement analysis can reduce errors caused by manual data entry and analysis. The use of automated algorithms and machine learning can help to identify discrepancies and anomalies, which can be missed by human analysts.
  3. Real-time Monitoring
    Automated bank statement analysis can provide real-time monitoring of bank transactions and account activity, enabling prompt action to be taken in case of suspicious or unusual activity.

[Also Read – RPA in Banking & Finance 2023 (Use Cases, Benefits, Challenges)]

Conclusion

Automated bank statement analysis offers a remarkable speed of response, eliminating the need for human labor and ensuring error-free analysis. That’s how automation can be particularly advantageous for banks and financial institutions as it facilitates swift lending decisions, real-time monitoring, and better risk management.

And to help you create end-to-end bank statement analysis AutomationEdge ready-solution workflows can meticulously help you in achieving that. To know more click here