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SAP

C_SIGDA_2601

SAP Certified - Process Data Analyst - SAP Signavio

For process data analysts and transformation consultants, this certification evaluates event log preparation, process mining investigations, and SiGNAL query analysis. It also covers SAP Signavio Process Intelligence dashboards, process performance metrics, guided Process Insights, and data-driven improvement recommendations.

Exam facts

Total questions
424
Duration
120 minutes
Passing score
50%
Last updated
Version
4.1
Assessment
SCENARIO BASED Assessment

Question types

  • Single answer

Question set

Questions in the set
424

About this exam

Process mining becomes useful only when recorded business events can be connected into reliable cases. C_SIGDA_2601 assesses how analysts turn operational data into evidence about process execution, delays, rework, and improvement opportunities. The SAP Certified – Process Data Analyst – SAP Signavio credential emphasizes investigation and interpretation using SAP Signavio solutions, rather than creating process diagrams alone.

From Source Records to Mineable Event Logs

Process analysis depends on a clear case identifier, recognizable activities, and timestamps that establish execution order. Case attributes describe the business object being followed, while event attributes add detail about individual activities. Missing events, duplicate records, inconsistent time zones, and unclear case boundaries can distort findings before an analyst opens a dashboard.

SAP Signavio Process Intelligence uses process data pipelines to connect source systems, extract relevant records, transform them into a usable structure, and load them for analysis. Data views, business objects, and event collectors support this preparation. Candidates should distinguish source connectivity problems from transformation logic errors and understand when a preconfigured pipeline template needs adaptation.

Reading Process Variants, Bottlenecks, and Conformance

An investigation should begin with a business question, not a collection of unrelated charts. Process discovery reveals observed paths through a process; variant analysis compares alternative execution sequences. Throughput time, waiting time, and rework measures help explain why apparently efficient individual activities may still produce poor end-to-end performance.

For C_SIGDA_2601, important analytical distinctions include:

  • Case counts versus event counts when interpreting process frequency.
  • Activity duration versus delays between activities.
  • Common process variants versus exceptions requiring investigation.
  • Conformance deviations versus problems caused by incomplete source data.

Filters, process exploration widgets, and performance visualizations help narrow the evidence. Analysts should check whether an observed deviation reflects a real execution pattern, a legitimate business exception, or an issue in the event log.

SiGNAL Metrics and Guided Process Insights

SiGNAL is the query language used to calculate and examine process measures in SAP Signavio Process Intelligence. Understanding its role helps analysts connect a metric definition with the population of cases being measured. A poorly defined filter or aggregation can lead to a convincing chart that answers the wrong question.

SAP Signavio Process Insights offers a guided perspective on performance indicators and improvement opportunities, including predefined content for supported business processes. This differs from constructing an investigation directly from event-level data. Findings should be discussed with process owners, while SAP Signavio Process Collaboration Hub supports access to reviewed process information and stakeholder feedback.

A web-based practice test runs in the browser with nothing to install, while downloadable PDF questions and answers can be printed and annotated for offline revision. For C_SIGDA_2601, review the connection between event quality, query logic, process behavior, and the business recommendations supported by the evidence.

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