Divide And Conquer: How A Data-Supported Work Environment Saves Employees Time And Increases Productivity

We have experienced a fundamental shift in technology during the past two decades. In both our personal and our work lives, there is a whole new set of technologies available and companies are taking advantage of these technologies to gain advantages in their markets. In fact, individual and enterprise access to numerous new tech tools is the new normal.

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According to a McKinsey study, more than 90% of enterprise companies will adopt intelligent process technologies to turbocharge their operations by 2020, creating an Intelligent Work Experience for employees that can significantly drive down costs and increase their productivity.Adopting new technology is the only way for mortgage companies to compete over the long term by shifting from people-powered business to a software-powered business. You’ll see solutions that will help close loans faster, at lower costs, while speeding up cycle times, and providing better experiences for customers and employees. Innovation in consumer portals have helped improve the online application process over the past several years, but the costs of originating a loan continue to skyrocket, and the length of time it takes to close is still not fast enough. 

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Big data and AI can provide significant advantages for mortgage companies that harness technology’s power to make employees more productive. Data is at the heart of getting a mortgage. The borrowers apply for a loan by providing information about income, credit, and assets. The lender then uses this collection of data to make a decision about the loan. When the loan closes, the lender sells or retains the loan in the portfolio. The loan data could subsequently be leveraged to drive repeat business at a later time.

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It is worth noting, however, that while “big data analytics” has suddenly become a go-to catchphrase for many in our industry, our own experience in the space suggests that the challenges associated with implementing and realizing value from big data are more subtle. 

For the past 14 years, we’ve been helping clients collect, validate, and leverage the data to drive workflow automation and improve productivity in the mortgage process. We have an intimate knowledge of the pain points in this process. There remains a series of key friction points that must be addressed for the mortgage process to truly be reinvented, and we’ve been innovating on our clients’ behalf to improve the end-to-end mortgage experience for every user who touches the loan.  

Creating an intelligent process leveraging data and AI helps mortgage companies get leaner, faster, and more profitable. As one of the most complex, largest financial transactions most people make in their lives, getting a mortgage requires the gathering of information, validation and coordination with multiple parties to make a decision, while also meeting multiple regulatory requirements. Many legacy systems are outdated and face several big challenges in the race to modernize. 

Those who succeed will master the harvesting and delivery of relevant data at the right time so every user in the loan process — borrowers, loan officers, underwriters, processors, closing specialists, and delivery — are provided with the tools they need to manage their workload easily and make decisions quickly. This will remove friction in the loan process that bogs most lenders down operationally. With an intelligent document and data management system that provides user-friendly tools to empower its employees, lenders can have confidence in their data quality and can operate with full transparency to accelerate decisions and dramatically increase productivity and lower costs — all without having to rip out existing infrastructure for rapid deployment.   

For example, using a combination of business process improvements and next-generation tools can remove repetitive, replicable, and routine tasks, creating workflow automation with high accuracy rates. Up to 80% of manual processes could be eliminated without replacing existing operating systems, driving significant improvements across nearly every function.

Data-driven technology that creates an intelligent work experience increases employee productivity with automation while helping lenders scale quickly and do more with the same number of employees. Moving from a labor-intensive human powered process to a software-powered model also lowers risks and costs, helping companies survive and thrive in the new era of technology. At the end of the day, the key to innovative technological innovation is about making things easier for our most valuable assets — humans.

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