The Cloud

Think of Digital Transformation as Modular and Nimble

CFOs must adopt a frame of mind free of historical baggage and more attuned to what’s possible in today’s cloud-based world.
Lauren MuskettFebruary 16, 2021

Today’s CFOs have navigated significant technology changes throughout their careers, but even some of the most seasoned finance executives dread the prospect of digital transformation. This is understandable, given the painful history of enterprise resource planning (ERP) system implementations, the need for widespread change management, and the potential to disrupt day-to-day operations.

CFOs must adopt a new frame of mind regarding digital transformation — one free of historical baggage and more attuned to what’s possible in today’s cloud-based world. If CFOs think of digital transformation as modular (rather than comprehensive) and nimble (rather than legacy-bound), they can help their organizations achieve a new and much-improved way of working.

Why do half of digital transformation projects fail to deliver the value leaders expect regardless of the industry? And what can finance professionals do to improve the odds of successfully transforming the way they do business?

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Start With the End in Mind

Successful digital transformations start with a clearly articulated vision of the result. Examples of this include:

  • Improve a business process. An automated procure-to-pay process with no manual data entry.
  • Increase productivity. A seamless lead-to-cash progression for an accelerated sales cycle.
  • Change a business model. A connected customer experience from support tickets to automated marketing campaigns.

Those can vary from organization to organization. The focal point of a digital transformation vision may hinge on increased productivity, improved organizational insights, better controls, or all of the above.

Once the vision is agreed upon, set clear priorities. Start with one and expand from there. These priorities prove relevant to most organizations regardless of industry or size:

  • Deliver real-time data to drive revenue.
  • Streamline operational data to make quicker decisions.
  • Identify cost reduction opportunities to save money.
  • Reduce manual work to reduce errors.
  • Improve analytics to deliver better insights.
  • On-board new customers faster and more accurately for a better customer experience.

These are important goals but trying to achieve them all at once increases the project’s risk. Sequencing a digital transformation project with specific objectives and goals substantially improves success by allowing for precise alignment and focused effort. Teams learn from early wins, build confidence, and increase their probability of success for follow-on projects.

Another significant advantage of a modular, priority-by-priority approach is speed to value. The ability to deliver results quickly sustains digital transformation at the leadership level and inoculates it against the inevitable tides of executive and organizational change. Putting points on the board early is a sure way to gain the trust of peers, top executives, and the board.

Why Nimble and Why Now?

Technology has evolved to allow for this more nimble, sequenced approach. Twenty years ago, a big-bang on-premises ERP solution would take years to implement and millions in investment, only to deliver mixed results. We learned the hard way that no single system can do everything on its own. Today, incremental technology improvements that focus on achieving a single priority result, along with a clear roadmap for updating the technology stack to cloud-native applications, significantly reduces risk and investment.

Transactional Excellence

For CFOs and senior-ranking finance professionals, a successful digital transformation starts at the ground-level. Transactions are an excellent place to start. Here’s why:

  • Standardize transactions. Technology has improved tremendously over the past few years to accommodate the efficient ingestion of content from any source. That means finance departments have the ability to digitally take in invoices, bills, and sales contracts from any device or application. Machine learning improves the automatic classification of these documents, dynamically adapts to changes or alterations, and has evolved from traditional OCR (reading text) to optical recognition capabilities (recognizing images). Developing a centralized and agile taxonomy to define what data elements are vital ensures downstream reporting and analytics provide the desired value.
  • Centralize workflow and approvals. No longer do companies need to get things done through timeworn, hard-to-track methods such as calls, emails, and passing paper. New tools are available that help visualize, design, and set workflow and approval processes. The development of transparent and organized workflows means that transactions are treated consistently based on centrally defined rules and exception handling.
  • Automate processes. With standardized transactions and consistent workflows in place, modern robotic process automation (RPA) eliminates manual and repetitive data entry to allow for greater productivity, speed, and accuracy. Such processes can also connect traditionally hard-to-interface systems, such as syncing the data flow between ERP systems and productivity technologies like email, Microsoft Office, DocuSign, and Adobe.

Digital transformation is within reach. A modern, modular, and nimble approach to technology, combined with setting and executing against clear priorities, can establish finance professionals as high-impact change agents.

Kevin Herr is CFO and COO of intelligent document processing solutions provider KnowledgeLake.