Design Business Processes with SAP Signavio Solutions

Starting an Investigation (Analysis) for Consultants

Objectives
After completing this lesson, you will be able to:

After completing this lesson, you will be able to:

  • Manually upload a data set to conduct an investigation

Signavio Process Intelligence Analysis

Course Essentials

Welcome to Signavio Process Intelligence for Analysts! This course is designed to be interactive and can be conducted using a real business scenario, corresponding process model, and data set, which you can then actually upload to SAP Signavio Process Intelligence!

That's all you need to run your own analysis and explore the features!

So before you start your Process Mining journey with SAP Signavio Process Intelligence, let's make sure you:

  • Have access to SAP Signavio Process Intelligence through our free 30-day trial version
  • Review the business scenario
  • Download the data set
Note
This section is meant for those wishing to take this course through a real-life example. If you don't want to follow the interactive part and just want to read about SAP Signavio Process Intelligence, you can start this course at Starting an Investigation.

Step 1: Get your Signavio trial version first!

Every Signavio Trial Workspace is active for 30-days and includes all products with full functionality. Get your 30-day trial version (in 3 minutes)!

After you register, you have access to your own Signavio Workspace for 30 days. Once this trial period has expired, the workspace gets automatically deactivated. There is no charge or payment required. 

Register here: Register.

Step 2: The Business Scenario

In this course you follow the company, MyShirt Inc. They are looking to analyze their processes using Siganvio Process Intelligence. You will learn about the tool's important features and follow a step-by-step guide on how to gain insights for process improvement.

Case Study

The process we will analyze is the Order-to-Cash process for MyShirt Inc. This company sells high quality fair-trade T-shirts with prints on it. 

A customer can either order a pre-printed shirt from their online shop or create a custom print. In both cases, a prepayment is required before the order ships.

Business Scenario

MyShirt Inc. is a small online shop for printed and non-printed t-shirts. Due to the growing number of orders, the management decides to first document the order-to-cash process and then analyze the transaction data from an ERP system in which the process is performed on a daily basis.

The Order-to-Cash Process

Management knows that process models are snapshots of business activities and recently, they've faced issues on timely delivery and payment. In order to find the root cause of these problems, the company decides to use SAP Signavio Process Intelligence to gain more insights on these performance issues and compliance violations. 

The following process model shows their Order-to-Cash process. 

Click each marker in the process model to see potential issues that could impact the business.

Order-to-Cash Process

Case Study Information

  • 1 order = 1 case
  • 855 cases (orders) have been taken into account for this analysis
  • There are two types of goods:
    • non-printed shirts
    • printed shirts
  • There are two types of customers:
    • Premium customers 
    • Standard customers
  • There are two types of shipment:
    • Express shipment 
    • Standard shipment*Only premium customers can choose express shipping.

Step 3: Download the Data Set

In collaboration with process experts, the IT department was able to obtain the transactional data and extracted this from the ERP-System. The team was so kind to provide them as CSV-files. 

Now it's up to you as a Process Analyst to take a closer look at this data and find potential causes for the inefficiencies.

Note
You can download the 2 CSV-files and import them to your Process Intelligence workspace! This data set defines the basis for the process analysis.

Eventlog_EN.csv - Eventlog

Attributelog_EN.csv - Attributelog

Well done! Now the actual work begins! Let's start uploading and analyzing the data.

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