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Data and Process Automation Adoption: Challenges, Maturity, and Business Impact
- Data and process automation adoption is essential for businesses running on SAP®, with challenges such as complexity, integration, and stakeholder alignment needing to be navigated for success.
- The value of automation increases with maturity, providing benefits like time and cost savings initially, and enhancing agility, resilience, and competitiveness in advanced stages.
- Data quality and governance play a crucial role in automation, impacting business outcomes and AI initiatives if not appropriately maintained.
- The top challenges for data and process automation adoption include complexity of business processes and data, integration with existing systems, misalignment between stakeholders, building a business case, and ensuring data quality and governance.
- The 2024 survey conducted in partnership with ASUG showed that only 5% of companies have achieved high automation adoption levels, with many relying on a mix of automated and manual SAP processes.
- Challenges like complexity, data-intensive processes, and stakeholder alignment hinder automation efforts, while the need for establishing clear business rules is vital for success.
- Integration with existing systems poses a challenge, especially when dealing with multiple systems of record like Salesforce, ServiceNow, and MDM alongside SAP system data.
- Misalignment between technical and business stakeholders, building a compelling business case for automation, and maintaining data quality and governance are key hurdles to successful automation implementation.
- Benefits of task and process automation include increased efficiency, cost savings, improved data quality and compliance, enhanced business agility, and better decision-making with real-time insights.
- Levels of automation maturity progress from individual role automation to organizational optimization, with a focus on business impact, increased agility, and optimized outcomes as automation adoption grows.
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