Which feature allows SAP Master Data Governance to provide systematic analysis of SLA failures?

The capability of SAP Master Data Governance to conduct systematic analysis of SLA (Service Level Agreement) failures is primarily attributed to HANA-based analytics. This feature harnesses the power of the SAP HANA database, which allows for real-time processing and analysis of large volumes of data. With HANA's analytical capabilities, organizations can create complex queries and leverage in-memory computing to quickly access and analyze data regarding SLA adherence and failures.

HANA-based analytics can track performance metrics, identify trends, and generate reports that provide insights into the reasons behind SLA compliance issues. This enables organizations to pinpoint problem areas, understand the root causes of failures, and take corrective actions to improve overall performance in managing master data.

The other features mentioned do not provide the same level of capability for analyzing SLA failures. Automated data backups focus on data protection rather than performance analysis. External data audits are typically used for compliance checks but do not inherently offer systematic insights into SLA performance. User input tracking, while useful for gathering feedback, does not equip organizations with the analytical power needed to assess SLA compliance comprehensively. Thus, HANA-based analytics stands out as the vital feature for this analysis within the context of SAP Master Data Governance.