Navigating the complexities of business transformation: New insights from Oxford Economics 

Written by SAP Signavio Team | 4 min read
Published on: January 15, 2025 - Last modified: January 30th, 2025
New insights from Oxford Economics 

In today's rapidly evolving business landscape, “transformation” isn’t corporate jargon – it's a strategic imperative for organizations looking to stay competitive and relevant. However, despite its importance, many executives find themselves grappling with the complexities of business transformation. A recent study created in partnership with Oxford Economics, “The Estimation Game: What do business transformations really cost?”, sheds light on these challenges and offers valuable insights for leaders navigating this crucial journey.

The state of business transformation

The research reveals a startling reality: the concept of business transformation itself lacks a clear, universally accepted definition. Over a quarter of executives leading transformation efforts admit that the term doesn't have a specific meaning to them. This ambiguity extends beyond mere semantics – it has real-world implications for how organizations approach and execute their transformation initiatives.

Consider this: in a three-year period, organizations attempted an average of nine business transformations. Yet nearly half of these initiatives didn’t go according to plan, and about 60% exceeded their budgets. These statistics paint a picture of widespread struggle in the pursuit of business transformation.

On average, companies attempted ~9 business transformations over the past 3 years, but nearly half do not go according to plan – and close to 60% overspend.

The clarity conundrum

One of the key findings from the report is the direct link between clarity of purpose and successful transformation. Organizations that lack a clear understanding of their transformation goals and value drivers often find themselves falling behind. This lack of clarity manifests in various ways:

  • Misalignment across departments
  • Difficulty in measuring transformation success
  • Challenges in prioritizing initiatives
  • Struggles with workforce acceptance.

Interestingly, while nearly 80% of executives feel that their transformation programs have clear objectives, a significant portion still face challenges in execution. This disconnect suggests that having a clear goal is just the first step – translating that vision into actionable plans and measurable outcomes is where many organizations falter.

The data dilemma

In today's data-driven world, one might assume that organizations have all the information they need to drive successful transformations. However, the research tells a different story. While 84% of executives believe their leadership has access to reliable data about business processes and IT landscapes, a third admit that this data isn't conveyed quickly or effectively.

84% of executives say they have reliable process and application data, but one-third admit it’s not conveyed quickly or effectively.

There's also a glaring gap between data collection and utilization. Many organizations are drowning in data but parched for insights. Just over half of the surveyed executives say their organization effectively uses data to inform decisions, prioritize improvements and guide next steps in their transformation journey.

The technology factor

Oxford Economics Infographic digital transformation gap

Emerging digital technologies like AI, RPA, and cloud computing are often touted as game-changers for business transformation. The research confirms their potential impact, with 69% of executives believing that these technologies will significantly alter how transformation programs are carried out.

However, adoption lags aspiration. Only about a quarter of organizations have moved beyond the pilot stage in implementing RPA software, and nearly two-thirds are still in the early stages of adopting process mining tools. This slow uptake could be hampering transformation programs and overall business performance.

The intel on AI

Oxford Economics Infographic_ai impact

Artificial Intelligence deserves special mention. While over half of business leaders believe AI will drastically impact transformation efforts, only a third currently use AI to guide these initiatives. Concerningly, 57% haven't performed thorough risk assessments related to AI use in transformation.

This gap between AI's perceived importance and its actual implementation, coupled with a lack of robust governance policies, points to both an opportunity and a potential pitfall for organizations embarking on AI-driven transformations.

Looking ahead: the path to successful transformation

While the research highlights numerous challenges, it also points to potential solutions. Organizations that can clearly define their transformation goals, make effective use of their data, and thoughtfully implement emerging technologies are better positioned to achieve the full potential of their transformation strategy.

Many executives overestimate their organization’s ability to respond to transformation-related risks, highlighting the need for ongoing evaluation and adjustment.

Continuous risk assessment and a realistic view of organizational readiness are crucial. The study found that many executives overestimate their organization's ability to respond to transformation-related risks, highlighting the need for ongoing evaluation and adjustment.

As the business environment continues to evolve at breakneck speed, the ability to successfully navigate transformation will be a key differentiator between thriving organizations and those left behind. By understanding these challenges and actively working to address them, leaders can significantly improve their odds of successful transformation.

Dive deeper

Take a deeper dive into these findings and more insights on mastering business transformation for competitive advantage. We invite you to explore the full report in partnership with Oxford Economics: “The Estimation Game: What do business transformations really cost?”

Published on: January 15, 2025 - Last modified: January 30th, 2025