Business process reengineering (BPR) was a consulting fashion in the early 1990s that spurred many companies to purchase their first ERP systems. BPR proposes a fundamental redesign of core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. Those early ERP systems provided a platform to manage cross-functional business processes with much greater flexibility and efficiency than had been possible in the past, partly because it took advantage of the commercialization of relational database technology, the graphical user interface, client-server networks and event-driven programming. ERP and other digital systems support business process reengineering by guiding the step-by-step execution of the redesigned process to ensure that it is performed consistently. They also automate the handoffs between individuals and departments as well as manage approvals and exceptions to accelerate completion of that process and permit supervisory personnel to spend more time focusing on matters that require their judgement and experience and less time on administrivia.
These days, the term “digital transformation” is in vogue. This sort of process reengineering employs technologies that provide organizations more options to redefine how existing work is performed or to extend the range of tasks that a company’s technology systems manage. The objective of a digital redesign is not just efficiency gains. It aims to use new technologies to redefine business models advantageously or alter an industry’s competitive balance of power – in other words, to create “digital disruption.” In finance and accounting, digital process reengineering can increase the effectiveness of the department by eliminating the need for low-value manual work that can be performed and supervised digitally so that the staff can focus on work that makes best use of their training, skills and experience.
Businesses operate in the same way as a basic control system’s iterative four-step process: sense, interpret, decide and act. Digital process reengineering can be applied at any step of that process. For instance, the internet of things (IoT) extends the range of sensing devices and therefore expands the depth and resolution of the conditions affecting a business that a digital system can monitor in a continuous and timely manner that humans cannot duplicate. In business, for example, this can mean monitoring external data about environmental conditions (such as weather or soil moisture), market prices or consumer sentiment. Organizations might have embedded sensors, subscribe to data services or use robotic process automation (RPA) to collect an ongoing stream of digital data for analysis and determine how best to deal with conditions that are out of tolerance. Systems also can keep close tabs on business-transaction data or equipment health to support a just-in-time maintenance program that reduces unplanned down time and cuts maintenance costs.
In another area, big data management and processing techniques make it possible to handle the torrent of data from digital sensory devices as well as digital feeds from multiple sources to enable systems to interpret relevant external signals that the system is designed to use. Machine learning (ML) and artificial intelligence (AI) can reduce the need for human intervention in the four-step process, resulting in faster, more consistent execution by using automation to eliminate, in some cases, the need for a human to be in the loop. In other cases, using AI to provide guidance on alternative courses of action and potential outcomes along with a score of the reliability of the advice. Digital technologies expand the range of decisions that control systems can handle on their own. And the digital output of the control system can, for example, drive the completion of a transaction, provide input to a robot or generate an alert that requires a response by a human.
The Office of Finance has a wide range of functions and processes that are ripe for digital disruption. My research covers five topics related to digital process reengineering. First, I have been using the term continuous accounting for the past five years to describe a technology-led approach to managing the department. In part it means distributing workloads more evenly across the accounting calendar. That is important because historically it was necessary to bunch up workloads at the end of the month and quarter because of the limitations of paper-based systems. Unfortunately, until recently, even computer-based accounting, including close-related tasks, required batch processing or very long processing times which, in effect, required the same sort of end-of-month and end-of-quarter bunching up of work. Today, systems offer greater flexibility, meaning that many tasks, such as reconciliations, can be done weekly, reducing the amount of end-of-period work. This can shorten the close and de-stress the department, two important benefits. Our Office of Finance Benchmark Research identified a link between the use of software automation and length of the accounting close: fully 88% of organizations that use automation in substantially all of their close processes are able to complete the quarterly close within six business days compared to 59% that had applied it to some parts and just 40% of those that employ little or no automation.
Third, I coined the term integrated business planning back in the 2000s to describe a process built on a unified software-and-data platform that enables each department and business unit to plan and budget in a manner that works for them, but the output of those plans can be shared and integrated across the entire enterprise. It is integrated because it brings together operational and financial plans and it is also integrated because it plans the income statement, balance sheet and cash flow statements concurrently. Our Business Planning Benchmark Research found that integrating planning is a more effective method: 66% of companies that directly link data to organization-wide plans have a process that works well or very well, compared to 40% where the information is copied and pasted and 25% where there is no linkage.
Digital process reengineering is not entirely new. In the 1990s, for example, 24-hour loan approval became possible using optical character recognition to accelerate processing of loan applications and using IT systems to manage parts of the approval process in parallel, rather than serial, fashion. It relied heavily on an early form of big data analytics - the credit score - to support the decision-making process. Organizations have been using digital technologies since then to make incremental breakthroughs to achieve business breakthroughs. What is new today is the scope, scale and availability of the technologies and techniques that will make digital process reengineering a common feature of business management.
Using digital process reengineering successfully will be an increasing challenge for business executives. They need it to respond to the digital disruptions that are increasingly common as entrepreneurs utilize available technology innovations to create new product or service categories or create more effective business models to compete with established ones. It is equally important to be able to distinguish between the overblown or immature technologies fancied by technologists that will have limited market impact and those that represent real opportunities for those who understand how to exploit them.
Regards,
Robert Kugel