ABOUT THE CLIENT

Client was struggling with unexpected system slowdowns and outages that disrupted operations and eroded user trust. Problems were only discovered after they had already impacted the business, making it difficult to respond effectively or prevent recurrence.

Challenge

The client’s challenge was that standard monitoring in SAP provided only limited visibility. It lacked flexibility to adapt to their specific needs, offered insufficient detail to truly understand performance issues, and was not intuitive to navigate. As a result, they were left with basic statistics that didn’t provide deeper insights needed to identify root causes or take proactive action.

Approach

Our approach highlights what matters most - where issues originate and when they begin. Built on solid design thinking and expert input, we aggregate detailed activity logs and enrich them with context such as data lineage and bucketing.

We monitor refresh failures, track problematic data retries, and focus on intensive queries by surfacing the most resource-heavy statements, additionally providing visibility into resource consumption across SAP Datasphere spaces to highlight usage patterns and potential imbalances. We focus on proactive governance - giving the client clear accountability, faster decision-making, and better control over their Datasphere landscape.

Finally, we visualize everything in SAP Analytics Cloud, enabling clear views of trends, usage spikes, and seamless drill-through from high- to low-level insights.

Results

End-to-end visibility into SAP Datasphere refresh failures and SAC story impact, enabling teams to instantly identify which reports, analytical models and objects are affected.

END-TO-END INSIGHT

Accelerate issue resolution by enabling seamless drill-down from a high-level system health page into detailed failed task diagnostics, supporting immediate root-cause analysis and corrective action.

ACCELERATE ISSUE RESOLUTION

Improve performance troubleshooting with CPU, memory and query duration analytics, including threshold-based outlier detection and historical trend analysis.

PERFORMANCE TROUBLESHOOTING

Enable fully customizable reporting views with user-defined threshold, dynamic filters and configurable retention periods for long-term monitoring of critical expensive statements and storage usage.

CUSTOMIZED REPORTING

Multi-level drill-down capabilities from tenant-level KPIs to schema-, statement-, and query-level details for faster operational decision-making.

DRILL THROUGH

Extended retention of detailed performance data - from recent activity to 42-day history, with configurable archiving up to one year - enabling long-term trend analysis and insight-driven decisions.

PERFORMANCE TRENDING

Space-level monitoring that clearly presents memory and disk usage per Datasphere space. By structuring the data around business-relevant spaces, the client can now immediately identify which areas are driving consumption. Additionally, threshold-based highlighting (with red indicators when standards are exceeded) provides an intuitive early warning system, allowing teams to act before issues impact performance or stability.

CONSUMPTION INSIGHT

Anamaria Helici

Sports, crafts, languages and experimenting in kitchen

Patrycja Kamińska

crocheting, handcrafting and watching movies or series

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