How Can You Top 95 Percent Automation Levels in Processing Loan Applications?

At any given time, one in four mortgage providers is looking to upgrade its loan origination system. The reason: its current system provides low rates of automation—including some processing functions that are not automated at all. Using people to process loan applications decreases profitability of a company in several ways, but by automating more processes, profitability can be improved—and the hidden costs eliminated.

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11 Criteria for Selecting the Best ERP System Replacement

An enterprise resource planning (ERP) system is your information backbone, reaching into all areas of your business and value chain. That’s why replacing it can open unlimited business opportunities. The cornerstone of this effort is finding the right partner. And since your long-term business strategy will shape your selection, it’s critical that your ERP provider be part of your vision. Read More

Wholesale Banking: Challenges in Automating Commercial Credit Risk Management

  • Source: IBM
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The challenges associated with commercial credit are complicated, but through automation, commercial credit risk management can be made straightforward and more efficient. IBM’s Business Analytics for commercial banking can help improve commercial lending operations, and, along with strong risk management practices and modernized operations, can create best practices for implementation and enhance overall operational effectiveness.

It’s essential that an automated system is transparent, helps with compliance, can serve multiple relationship types, and is able to use several criteria for risk assessment. A good system should take into consideration the complexities between customer, loan, and approval processes, and limit the need for multiple individual systems by way of a single user interface or tightly integrated systems.

In this white paper, read a detailed overview from IBM Business Analytics about the advantages and potential challenges of automation in five areas of interest, including complexity of the customer and credit granted, as well as continuous risk monitoring and how to improve overall relationship management. Get details on the management and analysis of commercial portfolios and related documents, business intelligence reporting, and defaults/recoveries management. Also provided is an extensive point-form information checklist, allowing you to self-check your own organization to determine what areas may need attention. Security issues for data protection are also addressed.

Creating infrastructure for your organization for best success begins with choosing the best technologies, and IBM Business Analytics can help, improving profitability and providing solutions that allow your business goals to be realized.  Read More

Credit Risk Management: Collateral, Covenants and Risk Review

  • Source: IBM
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If your organization is still managing credit risk manually, you could be leaving your company open to experience significant losses and complications that can harm its financial well-being. Multiple systems, piles of paper, inconsistent or out of date information- all could end up costing your company dearly. Today, the best way to ensure that credit risk is being appropriately monitored and managed is with the adoption of an automated system. With the implementation of an automated system, accuracy of data and efficiency of execution are significantly improved, and risk is monitored in a superior and more effective manner.

In this white paper, IBM highlights the benefits that an automated system for credit risk management can bring to your organization, including a reduction of human error on multiple levels, a marked increase in compliance, the capability to quickly track a data trail, and the capacity to effortlessly update and upgrade across multiple accounts and systems. Automation means valuations are up to the minute, and that transparency is increased. Document imaging, data entry, and automated workflow can resolve many problems previously encountered with manual procedures.

IBM’s Business Analytics offers a comprehensive 5-point action plan involving the importance of automating collateral processes, how to consolidate diverse systems and data, the benefits of automating collateral and covenant monitoring to reduce risk with the latest available information, and how automation supports release processes for minimized risk. Credit risk management can be modernized and refined as a result of changing towards an automated system. Read More

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5 Simple Steps to Choosing a BRMS for a Loan Origination System

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Evolution to Revolution: The Test Automation Maturity Curve

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