Order-to-Cash: Performance Drivers for Success

Order-to-cash performance improves most when organizations put true end-to-end governance in place—especially a single global process owner—and then back it up with centralized, high-quality master data that flows cleanly across systems. The research behind the webinar links these foundational choices to measurable gains in on-time in-full delivery and faster order-to-cash cycle times, making them less like “process hygiene” and more like direct drivers of customer responsiveness and cash outcomes.

Participants in the study described how they manage the order-to-cash process across sales order management, supply chain, and finance. Yet only about 38% reported having a global process owner accountable for the end-to-end process. Where that role exists, results are stronger: on-time in-full performance reached a median of 92% versus 79% among organizations without that governance, and the end-to-end cycle time is faster—an effect attributed to cross-functional visibility into where orders stall. The research also flags a common misalignment problem: roughly one-third of organizations split ownership across different parts of the process with different measures and goals between order management and accounts receivable. That disconnect can create “local optimization” where one function improves completeness while another focuses on timeliness, undermining the whole.

Master data management (MDM) emerged as the next critical foundation. MDM is defined as the enterprise-wide identifiers and attributes used to describe customers, suppliers, and products, including hierarchies and related financial structures. Nearly two-thirds of respondents said master data ownership is enterprise-wide (often under a chief data officer), which the research ties to better outcomes such as faster payments (36 days versus 39) and slightly higher on-time in-full (92% versus 91%). Decentralized ownership—by geography or by function—was associated with risks like inconsistent customer or supplier identification and weaker cross-functional coordination. Data quality requirements for error-free orders clustered around timeliness, validity, and completeness, with consistency and integrity also playing major roles.

The webinar then connected these foundations to process design and automation. Only 8% of respondents said their order-to-cash process is fully standardized, while about a quarter reported very little standardization. Greater standardization correlated with improved days sales outstanding and faster cycle time, but the research notes an exception: top performers can show less standardization across product lines and geographies if they have strong data quality, global process ownership, and improved order management visibility and automation. Automation itself is widely claimed—over 80% described their process as mostly or fully automated—yet the research suggests many organizations automate tasks without achieving seamless data synchronization or standardized handoffs.

Finally, visibility and transparency are treated as table stakes for meeting “new customer” expectations shaped by consumer experiences. Around two-thirds of respondents said sales teams get real-time order status via web portals or push notifications, and similar proportions extended visibility to customers. Organizations with stronger transparency reported better end-to-end cycle time (52 days versus 55). Looking ahead, planned improvements prioritize fixing master data and adding automation, followed by tighter end-to-end integration, re-engineering away from siloed workflows, and real-time visibility. Governance ranks lower in stated priorities—but the research frames it as essential for sustained success, especially amid disruption and shifting customer expectations.