How ERP Modernization Leads to Business Optimization and Accelerated M&A

Successfully executing a major SAP transformation, such as the move to SAP S/4HANA, requires a deep understanding of the existing system. Without precise data, organizations can risk significant budget overruns, timeline extensions, and unforeseen operational disruptions. However, the primary challenge in achieving this visibility lies in accurately assessing system complexity, identifying optimization opportunities, and creating a realistic project scope.

Overcoming Data Challenges

SNP’s Kyano, a data analysis and insights platform, is engineered to help address these hurdles. It provides organizations with the empirical data needed to move from assumption-based planning to a fact-based transformation strategy. By deploying Kyano, organizations can systematically evaluate their SAP environment and build a clear, strategic roadmap for change before starting their migration.

The platform’s ability to analyze system complexity enables organizations to conduct a thorough analysis of their existing environment. It also provides detailed insights into data volumes, the configuration of legal and corporate structures, and regional usage variations. This uncovers the true scope of custom developments and process complexities that are often underestimated during manual assessments.

A New Approach

Moreover, Kyano enables organizations to benchmark against peers. The platform compares key performance indicators (KPIs) from the customer’s system against anonymized data from other SAP customers and industry benchmarks. This comparative analysis helps identify areas for process improvement. Additionally, it provides context for building a business case for transformation, aligning IT objectives with measurable business goals.

The platform also integrates AI-driven recommendations. This feature moves beyond simple data reporting by providing real-time, automated insights into system performance, data quality, and potential areas for optimization. The AI engine can also identify redundant master data, suggest the retirement of unused custom code, and recommend process enhancements, helping to streamline and improve the system’s efficiency before and during the transformation project.

Getting Projects Off to A Smooth Start

These analytical capabilities support an organization’s ability to accurately pre-scope projects. Thus, by utilizing Kyano’s prebuilt reports and data-backed insights, project managers can develop detailed, foundational project plans.

The platform also facilitates iterative tracking of the system’s status, allowing teams to monitor trends and ensure the environment remains optimized and prepared for change. This data-centric approach transforms project scoping from an estimation exercise into a precise, strategic planning process.

Finally, SNP’s Kyano provides the necessary tools to navigate the complexities of SAP transformations, enabling organizations to make informed decisions, reduce project risk, and achieve better business outcomes.

What This Means for SAPinsiders

Accurately scope data pre-project with a comprehensive complexity analysis. Kyano delivers a factual baseline of an organization’s entire SAP environment. Its capability to analyze system complexity provides empirical data on custom code, data volume, and process variations. This detailed analysis is essential for accurate project scoping, preventing the common issue of unwanted discovery mid-project that leads to budget and timeline extensions. Therefore, with platforms like Kyano, SAPinsiders must quantify the technical and business complexity upfront as it is a critical input for any realistic transformation plan.

Intelligently recommend steps for system optimization. Organizations must operationalize the insights gained during the pre-project to execute harmonization and standardization initiatives before migration as well as cleaning up unused code and customizations. This ensures they are transitioning to a leaner, more standardized, and efficient SAP S/4HANA system from the outset. To enable organizations to achieve this goal, SNP Kyano’s AI-driven recommendations engine functions as a continuous analysis tool. It systematically identifies opportunities to enhance system performance and data integrity by flagging redundancies and unused objects, thereby improving overall system efficiency.

Utilize performance benchmarking to get a strategic context. By presenting data that shows how the organization’s KPIs compare to industry averages, IT leaders can more effectively communicate the project’s strategic value and competitive necessity to executive stakeholders. They can frame it in terms of tangible business improvement rather than just a technical upgrade. This ability, provided by Kyano, enables the team to benchmark against peers for an objective, external perspective on system performance and business processes. For SAPinsiders, this is a valuable tool to build a compelling business case for transformation.