How to Avoid 7 Common Digital Transformation Mistakes: Infographic
For most institutions, transforming your infrastructure takes time and hard work. That’s why it’s so important to know where your institution currently is and where you hope to be as your digital transformation strategy evolves. This kind of early preparation can help you navigate the challenges of a transformation and improve your chances of long-term success.
Define target state objectives
Foster a collaborative environment
Confirm scope during planning
Maintain an integrated program plan
Establish project delivery methods
Manage risk and controls
Monitor resource capacity
Building a strong foundation with clearly defined goals and objectives is a powerful way to track your progress, and knowing who is responsible for which strategy can help strengthen leadership and accountability.
Are you ready to start preparing and planning for a seamless and efficient digital transformation that will optimize business processes and improve compliance?
Download nCino’s digital transformation infographic and let us know how we can help you on your digital journey!
As community banks and credit unions navigate a constantly evolving financial landscape, a few challenges become clear. From delivering modern member experiences to understanding the role of legacy systems in a digital world, it’s crucial that community banks and credit unions find solutions that best serve their borrowers.
To buy or to build? That’s the debate in today’s evolving landscape.
In today’s financial landscape, digital transformation has become an essential priority for financial institutions (FIs), and credit risk management is no exception. Despite economic challenges, many banks are making significant investments in advanced technologies to fast-track their digital transformation. While cost pressures are considerable, the potential of technology to enhance automation and efficiency continues to drive these investments forward.
Artificial intelligence (AI) and machine learning (ML) are transforming how financial institutions approach many traditional banking processes. When it comes to AI in the financial services industry, the concept of explainability—i.e., the ability to clearly communicate the process behind AI’s decision-making and understand the model’s inner workings—is of the utmost importance.
Being a leader in the financial services industry requires a seamless approach to innovation and efficiency. One of the crucial elements to success is the integration of automation and augmentation into credit portfolio management, as these tools have the ability to transform operations, manage risk, and improve both banker and client experiences.
