Deck 4 Process Intelligence Mining Analytics Flashcards

1
Q

SAP Signavio Process Intelligence uses event log data to:
A) Create random guesses about processes
B) Reconstruct actual process flows, identify bottlenecks, and find improvement areas
C) Replace BPMN with spreadsheets
D) Hide inefficiencies

A

B) Reconstruct actual process flows, identify bottlenecks, and find improvement areas.

Explanation: Process mining leverages event logs to uncover how processes are executed in reality, revealing inefficiencies.

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2
Q

Process mining involves analysing:
A) Fake data
B) Actual event logs from IT systems that record who did what, when
C) Only manual notes from employees
D) Unrelated financial forecasts

A

B) Actual event logs from IT systems that record who did what, when.

Explanation: Event logs provide the data backbone for process mining, capturing user interactions with systems.

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3
Q

A common KPI analysed with Process Intelligence might be:
A) Cycle time (how long a process takes)
B) The font used in diagrams
C) Random guesses at success rates
D) Personal opinions from staff

A

A) Cycle time (how long a process takes).

Explanation: Cycle time is a key metric used to measure process efficiency and identify delays.

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4
Q

By comparing designed BPMN models with mined models, organisations can:
A) See if their documented processes match actual practice
B) Eliminate process modelling altogether
C) Reduce compliance
D) Guess process performance

A

A) See if their documented processes match actual practice.

Explanation: Comparing ‘as-is’ and ‘to-be’ models reveals discrepancies that may hinder efficiency or compliance.

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5
Q

Process Intelligence dashboards allow teams to:
A) Focus only on historical data with no insights
B) Monitor KPIs in real-time, set alerts, and track improvements over time
C) Hide performance metrics from leadership
D) Only display static charts with no context

A

B) Monitor KPIs in real-time, set alerts, and track improvements over time.

Explanation: Real-time monitoring allows for proactive management and continuous improvement.

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6
Q

Bottleneck analysis in Process Intelligence helps identify:
A) Steps that have no impact on performance
B) Tasks causing delays, rework, or high costs
C) Random improvements without data
D) Where to add more complexity

A

B) Tasks causing delays, rework, or high costs.

Explanation: Bottleneck analysis pinpoints inefficient steps that slow down overall process performance.

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7
Q

Process conformance checking is:
A) Verifying that executed processes conform to the modelled ‘ideal’ processes
B) Irrelevant to process mining
C) Only applicable to manual processes
D) About changing the BPMN standard

A

A) Verifying that executed processes conform to the modelled ‘ideal’ processes.

Explanation: Conformance checking ensures that actual execution aligns with intended design.

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8
Q

Root cause analysis in process mining might involve:
A) Ignoring data and guessing solutions
B) Investigating which conditions lead to delays, errors, or compliance breaches
C) Removing all KPIs
D) Adding more gateways at random

A

B) Investigating which conditions lead to delays, errors, or compliance breaches.

Explanation: Root cause analysis identifies factors behind inefficiencies to drive targeted improvements.

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9
Q

Simulation in Signavio Process Intelligence can help:
A) Predict outcomes of potential changes before implementing them
B) Only show static past data
C) Ensure no improvements are made
D) Replace BPMN entirely

A

A) Predict outcomes of potential changes before implementing them.

Explanation: Simulation models allow organisations to test scenarios and foresee impacts before deploying changes.

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10
Q

Data-driven decisions, supported by Process Intelligence, result in:
A) Random improvements
B) Targeted, evidence-based process enhancements
C) Less stakeholder trust
D) Ignoring root causes

A

B) Targeted, evidence-based process enhancements.

Explanation: Decisions informed by data help organisations address specific inefficiencies effectively.

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11
Q

Process Intelligence tools in Signavio can integrate with:
A) No external systems
B) Multiple ERP and CRM systems, extracting event logs for analysis
C) Only spreadsheets manually uploaded
D) Only email logs

A

B) Multiple ERP and CRM systems, extracting event logs for analysis.

Explanation: Integration ensures that process insights are based on comprehensive data from various sources.

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12
Q

Using historical data, Process Intelligence can help:
A) Identify trends, seasonal patterns, and recurring issues
B) Ignore patterns
C) Focus solely on one-off anomalies
D) Just show daily snapshots

A

A) Identify trends, seasonal patterns, and recurring issues.

Explanation: Historical analysis provides insights into long-term process behaviours and opportunities for improvement.

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13
Q

Compliance checking in Process Intelligence ensures:
A) Actual processes adhere to required policies and regulations
B) Reducing compliance visibility
C) That all processes are non-standard
D) Limiting data-based insights

A

A) Actual processes adhere to required policies and regulations.

Explanation: Automated compliance checks reduce risk by identifying deviations from legal or internal standards.

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14
Q

Continuous monitoring via Process Intelligence:
A) Is not possible
B) Allows ongoing oversight, ensuring sustained improvements and early detection of issues
C) Is a one-time check only
D) Does not support alerts

A

B) Allows ongoing oversight, ensuring sustained improvements and early detection of issues.

Explanation: Monitoring ensures that improvements are maintained and new risks are flagged early.

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15
Q

The ultimate goal of using Process Intelligence in Signavio is to:
A) Only create nice visuals with no action
B) Continuously optimise processes, ensure alignment with desired outcomes, and maintain compliance
C) Confuse stakeholders with data
D) Replace BPMN diagrams completely

A

B) Continuously optimise processes, ensure alignment with desired outcomes, and maintain compliance.

Explanation: Process Intelligence helps align execution with strategic goals and compliance requirements.

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