Topics Covered
• Failure of traditional transformation methods
• Enterprise orchestration and its advantages
• Four levels of transformation maturity
• The role of tech-enablement in success
• Steps to move toward predictive enterprise orchestration
Summary
Traditional transformation projects frequently fail due to outdated methods, with up to 70% of such initiatives falling short. According to our CEO, businesses must shift from static transformation projects to a continuous, tech-enabled enterprise orchestration model. This approach facilitates ongoing evolution and agility in the face of rapid change. Goldman identifies four maturity levels in transformation:
1. Reactive: Enterprises have siloed, manual processes and minimal tech-enablement, resulting in limited cross-functional visibility and a highly reactive posture.
2. Informed: Emerging cross-functional teams begin using tech tools, but governance and tracking remain inconsistent across the enterprise.
3. Proactive: Centralized project management emerges, typically through traditional platforms, but processes still lean on manual efforts and outdated methods.
4. Predictive: Full enterprise orchestration occurs, integrating automated workflows and real-time governance. Predictive intelligence allows proactive decision-making, rapid planning cycles, and minimal manual tracking efforts. Successful organizations leverage this level to shift into a constant state of evolution.
The article encourages organizations to assess their current state, break down silos, and adopt modern platforms to automate processes, enabling a “single source of truth” for decision-making. Transitioning from reactive to predictive levels is crucial for sustained success in an ever-evolving marketplace.
