According to a McKinsey report on the acceleration of business process digitisation, companies that deeply integrate digital transformations into their operations can achieve dramatic improvements in efficiency and customer responsiveness. By not only automating but reinventing business processes, organisations can reduce process steps and manual interventions, leading to significant cost reductions and faster process execution. This strategic approach allows businesses to meet the high standards of a digital-first world, transforming traditional operations into agile, data-driven ecosystems.

Business process management and data analytics form a continuous cycle. Well-designed BPM provides the data necessary for thorough analysis, which in turn reveals opportunities to further streamline and enhance business processes. This iterative process—enhancing BPM through data insights—enables organisations to progressively refine their operations, reduce redundancies, and improve overall efficiency.

In scenarios where business processes lack digitalisation or proper structuring, data tends to be either inconsistently recorded or left entirely unrecorded. Consequently, organisations grapple with incomplete, inaccurate, or isolated data, severely impeding their capacity to derive actionable insights and make well-informed decisions. Consider, for instance, a scenario where a company lacks standardized protocols for capturing customer data across diverse touchpoints such as sales, marketing, and customer service. Without a consistent approach, valuable customer information may be scattered across different systems or lost entirely, making it difficult to gain a comprehensive understanding of customer behaviour, preferences, and pain points.