Community EditionAdvanced Business Analyst
About the trail
Advanced Business Analyst
Required Prerequisite:
Process Discovery Techniques
Learning trail objectives
After completing this learning trail, you will be able to:
- Use Process Discovery tools and analysis techniques to identify automation opportunities
- Analyze Event data for mining, process, and automation insights
- Apply advanced mining techniques to generate processes
- Evaluate and prioritize processes based on frequency, duration, and potential savings
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Duration: 1 hour, 45 minutes
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Format: E-Learning
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Cost: Free
Badge on completion
Advanced Business Analyst
Courses in the learning trail
COURSE
Utilizing Tools and Techniques
In this course, you will learn the tools and analysis techniques used by Process Discovery Business Analysts to identify the ideal process for automation opportunity.
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15 minutes
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Intermediate
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FREE
Utilizing Tools and Techniques
In this course, you will learn the tools and analysis techniques used by Process Discovery Business Analysts to identify the ideal process for automation opportunity.
By the end of this course, you will be able to:
- Identify the tools and techniques used by Process Discovery Business Analysts
- Describe how Elastic is used to find data insights
- Explain how to mine data for processes using the platform
- Discuss how business intelligence tools are used to compare, prioritize, and select a process to automate or improve
Associated Learning Trail(s):
15 minutes
Business Analyst
Intermediate
E-Learning
COURSE
Reviewing Event Data for Mining Insights
In this course, you will learn how to review data visualizations for mining and process insights.
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20 minutes
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Intermediate
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FREE
Reviewing Event Data for Mining Insights
In this course, you will learn how to review data visualizations for mining and process insights.
By the end of this course, you will be able to:
- Examine Event data to gain valuable data insights
- Select the most popular Screen Signature to begin mining data
- Analyze data in Elastic to review breakdowns by Events, applications, and Observers
Associated Learning Trail(s):
20 minutes
Business Analyst
Intermediate
E-Learning
COURSE
Mining Data for Processes
In this course, you will learn how to use advanced mining techniques to mine data for workflow processes.
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20 minutes
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Intermediate
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FREE
Mining Data for Processes
In this course, you will learn how to use advanced mining techniques to mine data for workflow processes.
By the end of this course, you will be able to:
- Apply advanced mining techniques to find processes that are candidates for automation
- Examine the Butterfly Mining Run Instances to identify the start and end of a process
- Create a Path-Based Mining Run using the process's start and end Screen Signatures
- Analyze mining run visualizations for the paths with the highest frequency and duration
Associated Learning Trail(s):
20 minutes
Business Analyst
Intermediate
E-Learning
COURSE
Analyzing Processes for ROI
In this course, you will learn how to analyze data visualizations for frequency and duration.
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20 minutes
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Intermediate
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FREE
Analyzing Processes for ROI
In this course, you will learn how to analyze data visualizations for frequency and duration.
By the end of this course, you will be able to:
- Apply transformation techniques to filter and zoom in on specific data points
- Analyze Event data to identify the most common applications, actions, controls, and titles
- Compare findings from Elastic to the processes generated by the Path-Based Mining Run
- Evaluate data to identify processes ideal for automation and additional analysis
Associated Learning Trail(s):
20 minutes
Business Analyst
Intermediate
E-Learning
COURSE
Selecting a Process to Automate
In this course, you will learn how to prioritize processes based on the highest potential savings and select the process that is the ideal automation candidate.
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20 minutes
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Intermediate
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FREE
Selecting a Process to Automate
In this course, you will learn how to prioritize processes based on the highest potential savings and select the process that is the ideal automation candidate.
By the end of this course, you will be able to:
- Compare findings from the Kibana dashboard to data visualizations in a BI tool
- Evaluate processes based on frequency, duration, and automation indicators
- Assess processes using transformation and matrix techniques to make data-driven decisions
- Select a process for automation or improvement opportunities
Associated Learning Trail(s):
20 minutes
Business Analyst
Intermediate
E-Learning