.png?width=1000&height=275&name=arbutus_logo_tagline%20(002).png){kind=logo}
Introductory Course
Designed for novice users who want to learn the fundamentals needed to start using Analyzer.
Through this thorough introduction and practice exercises, you will learn how to effectively use Analyzer to accomplish your data analytic objectives.
Key Topics include:
- Detect gaps and control failures
- Discover duplicates in inconsistent data and duplicates that are similar but not exact
- Access and reconcile data from various systems in order to identify potential issues
- Identify outliers and anomalies in transactional data
- Combine data from multiple source types in order to make comparisons between them
- Aggregate data to identify trends and exceptions
- Compare files to identify changes between two points in time
- Calculate elapsed times and isolate those outside bounds
Intermediate Course
This course is designed to show you how to apply Analyzer functionality to data analytics projects. This will be accomplished through four case studies that cover data integrity verification, travel and entertainment expenses, vendor and inventory management and IT passive directory accounts and terminations.
Key objectives include:
- Develop your skills in devising an efficient data analysis plan to achieve your goals
- Refresh your knowledge of and experience with basic Analyzer functionality
- Identify and apply the Analyzer functionality needed to achieve objectives
- Break analysis objectives into structured, manageable steps
- Familiarize you with common data analysis tasks and scenarios
- Identify and follow best practice
- Test issues to identify patterns that may be indicative of the cause of issues
- Automate the solution for one case study
Advanced Course
Become a more efficient Analyzer user by automating your analytics and integrating functions into your analysis.
This course is designed to familiarize users with the creation and use of Arbutus Analyzer Procedures (scripts) and Functions in order to
automate common tasks and to perform more complex analysis.
Key modules for Functions include:
- Harmonize data for better matching and results
- Use date and time data to identify weekend transactions and build flexible date ranges into your analysis
- Clarify the meaning of your data by inserting, including or excluding characters
- Supercharge your keyword searches using ListFind, WordFind and other functions
- Identify duplicates in inconsistent data (fuzzy comparisons)
CAAP Certification
For Supported Users and Arbutus Partners
Test your knowledge of Arbutus technology.
The exam is designed to give users a benchmark, to help identify gaps in their knowledge, and to provide incentive to continue learning and using the Analyzer tool in their daily work.
