The Process Funnel Widget is a specialized visualization tool within SAP Signavio Process Intelligence designed to analyze case flow through a predefined path. Its primary benefit is to show the volume of cases, or 'traffic', that successfully pass through a specific sequence of activities. It clearly illustrates the drop-off rate at each step, helping analysts identify where cases deviate from the expected path, which is crucial for pinpointing bottlenecks or inefficiencies in a process.

A. To visualize the different variants of the process

This is the function of the Process Discovery or Variant Explorer widget, which automatically discovers and displays all paths taken in the process.

C. To visualize the process conformance and non-compliant steps

This is the specific purpose of the Conformance Check widget, which compares the actual process data against a target BPMN model to identify deviations.

D. To visualize the revenues each region produces

This describes a generic business intelligence chart (e.g., a bar chart). While possible in a dashboard, it is not the specific function of the Process Funnel widget.

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1. SAP Help Portal

SAP Signavio Process Intelligence Documentation: "The Process Funnel Widget". The documentation states

"The process funnel widget visualizes how many cases follow a certain path. For a sequence of activities you define

the widget displays how many cases contain the first activity

how many of these cases also contain the second activity

and so on." This directly supports the concept of visualizing data 'traffic' along a path.

2. SAP Training

SIGNAVIO1 - SAP Signavio Process Manager and Process Intelligence: In the module covering SAP Signavio Process Intelligence widgets

the Funnel Widget is presented as a tool to "analyze the drop-off rates between activities for a predefined path." This confirms its purpose is to track case volume through a sequence.

3. van der Aalst

W. M. P. (2016). Process Mining: Data Science in Action. Springer. Chapter 1

"Introduction

" pp. 7-11

outlines the three main types of process mining: (1) discovery

(2) conformance

and (3) enhancement. Funnel analysis is a technique used for performance analysis

which falls under the 'enhancement' type. This academic source distinguishes this function from process discovery (variants

option A) and conformance checking (option C). (DOI: https://doi.org/10.1007/978-3-662-49851-4)

SAP Signavio Process Insights is designed to create business-process excellence by (1) guiding customers along a structured transformation journey, (2) letting analysts drill from high-level KPIs down to document and field level to find true root causes, and (3) automatically generating concrete, prioritized improvement recommendations that can be exported for follow-up execution. These three capabilities close the discovery-to-action loop; however, the product neither models future-state processes nor executes automations itself.

D – Process modelling and collaborative design reside in SAP Signavio Process Manager, not in Process Insights’ excellence toolset.

E – Automated workflow execution belongs to SAP Build Process Automation or SAP BPM; Process Insights only identifies what to improve, it does not automate processes.

1. SAP SE. “Solution Brief: SAP Signavio Process Insights.” pp. 2–3 (Sections “Navigate your transformation journey”; “Drill down to root causes”; “Take guided action with recommendations”).

2. SAP Help Portal

SAP Signavio Process Insights – Key Capabilities

Sections “Root Cause Analysis” and “Improvement Recommendations

” 2023.

3. SAP SE. “SAP Signavio Process Insights: Product Overview Slide Deck

” slide 6 (“Journey navigation”) and slide 8 (“Automated recommendations”).

Process Mining is a discipline that analyzes business processes based on event logs. Its capabilities are categorized into three main types. Process Discovery is the most common type, which involves automatically creating a process model from raw event data. Process Conformance compares an existing process model with the event log of the same process to check for deviations. Process Performance (also referred to as Enhancement) extends a process model by analyzing performance-related information, such as processing times, bottlenecks, and resource utilization, to identify areas for improvement.

A. Process Documentation is a by-product of Process Discovery, not a distinct core capability. The primary capability is the discovery itself.

C. Process Improvement and Process Automation are outcomes or goals achieved by applying insights from process mining, not the core analytical capabilities of the technology.

D. Process Execution refers to the operational running of the process that generates the event data; it is the subject of analysis, not a capability of process mining.

1. van der Aalst

W. M. P. (2016). Process Mining: Data Science in Action (2nd ed.). Springer.

Section 1.3

"The Three Basic Types of Process Mining

" pp. 8-11: This foundational academic text explicitly defines the three main types of process mining as (1) Discovery

(2) Conformance

and (3) Enhancement. The Enhancement capability is described as using the process model to improve it

which directly relates to analyzing performance.

2. SAP SE. (2023). SAP Signavio Process Intelligence - Official Product Documentation. SAP Help Portal.

Section: "What is Process Mining?": The documentation explains that SAP Signavio Process Intelligence allows users to "discover your as-is processes" (Discovery)

"compare processes to identify deviations" (Conformance)

and "analyze processes to find bottlenecks and inefficiencies" (Performance). This aligns directly with the three capabilities.

3. Dumas

M.

La Rosa

M.

Mendling

J.

& Reijers

H. A. (2018). Fundamentals of Business Process Management (2nd ed.). Springer.

Chapter 10

"Process Mining

" Section 10.1

"The Big Picture

" pp. 350-352: This textbook outlines the process mining framework

detailing the inputs (event logs

models) and outputs

which correspond to the three core capabilities: discovering a model

checking conformance

and enhancing a model with performance data.

In SAP Signavio Process Intelligence, filters are a core feature for data analysis. They are applied hierarchically at three distinct levels: the entire investigation, a specific chapter, or an individual widget. This hierarchical structure allows for broad, overarching filters at the investigation level, which are then further refined by more specific filters at the chapter and widget levels. The system combines these filters using a logical AND operator. This means their effects are cumulative or "additive," progressively narrowing the dataset to focus on specific analytical questions.

A. Filters are defined within the context of a single process investigation and its underlying data model, not applied across different processes simultaneously.

B. An investigation is based on a single data set (process data model), and its filters apply only to that specific data set.

1. SAP Help Portal - SAP Signavio Process Intelligence Documentation: Filtering investigations. This document explicitly states

"You can apply filters on three levels: On the investigation

on a chapter

and on a widget." It further explains the interaction: "Filters on different levels are combined with a logical AND. This means that a widget is filtered by the widget filter AND the chapter filter AND the investigation filter

" which confirms the additive nature. (Accessed under the SAP Signavio Process Intelligence user guide).

2. SAP Learning - Course SIGPI1 (SAP Signavio Process Intelligence): Unit 5: Investigations

Lesson: Filtering. This official course material details the filter hierarchy (Investigation

Chapter

Widget) and describes how filters at each level are combined to refine the analysis

reinforcing the additive principle.

Business Process Management (BPM) is a systematic management discipline for improving corporate performance by discovering, documenting, modeling, measuring, monitoring, and optimizing business processes. The primary goals are to create a transparent and understandable process landscape (documentation), to evaluate process performance against key performance indicators (measurement), and to ensure processes are executed as intended while identifying deviations and opportunities for improvement (monitoring and control). These three activities form the core of the continuous BPM lifecycle, enabling organizations to achieve greater efficiency, agility, and governance.

A. To share processes: While sharing processes is a key activity for collaboration and transparency, it is an outcome of proper documentation rather than a primary, standalone goal of the management discipline itself.

E. To save processes: This term is ambiguous. BPM is a dynamic discipline focused on continuous improvement and optimization, which often involves changing or redesigning processes, not simply preserving or "saving" them.

1. Dumas

M.

La Rosa

M.

Mendling

J.

& Reijers

H. A. (2018). Fundamentals of Business Process Management (2nd ed.). Springer.

Section 1.3

"The BPM Lifecycle

" pp. 18-25: This chapter details the phases of BPM

which explicitly include process discovery (as-is process modeling

i.e.

documentation)

process analysis (which relies on performance measures)

and process monitoring and controlling. These are presented as fundamental stages of managing processes.

2. Weske

M. (2019). Business Process Management: Concepts

Languages

Architectures (3rd ed.). Springer.

Chapter 1

"Introduction

" Section 1.2

"The Business Process Management Lifecycle

" pp. 6-10: The text outlines the BPM lifecycle

emphasizing process modeling (documentation)

process analysis (using performance measures)

and process monitoring as core

interconnected phases. This framework establishes these activities as central goals of BPM.

3. SAP Help Portal. (2023). What Is Business Process Management (BPM)?

The official SAP definition describes BPM as a discipline to "discover

model

analyze

measure

improve

optimize

and automate business processes." It further elaborates on the importance of monitoring processes with analytics and dashboards to track performance in real-time

which aligns directly with monitoring and control. The initial step of modeling is synonymous with documentation.