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SuiteAnalytics: Advanced Searches Course Overview

SuiteAnalytics: Advanced Searches Course Overview

The SuiteAnalytics: Advanced Searches course is designed to empower learners with the advanced techniques and skills needed to create complex and dynamic searches within NetSuite. This course dives deep into the use of expressions and nested expressions, enabling users to refine and manipulate data with precision. It also explores embedding HTML in saved searches and adding formulas to enhance reporting and analytics capabilities.

Module 1 of the course begins with the fundamentals of search expressions, progresses to advanced search techniques, and teaches how to incorporate HTML and formulas into searches. Module 2 elevates these skills by introducing dynamic formulas, working with dates, numbers, and CASE statements, embedding HTML within formulas, and applying formulas within search criteria for complex analytics. The final lesson provides insights into using ODBC for advanced data retrieval. This course is a valuable asset for NetSuite users looking to leverage the full potential of SuiteAnalytics for data-driven decision-making.

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Course Prerequisites

To ensure that participants are able to fully grasp the concepts and practical applications covered in the SuiteAnalytics: Advanced Searches course, the following minimum prerequisites are recommended:


  • Basic understanding of database concepts and familiarity with data management.
  • Prior experience with NetSuite and knowledge of its interface and navigation.
  • Understanding of NetSuite’s standard reporting and searching capabilities.
  • Fundamental knowledge of Excel or any other spreadsheet software, as this will aid in understanding data manipulation and analysis.
  • Basic knowledge of HTML to understand how to embed HTML in saved searches.
  • An introductory level of SQL or experience with any form of structured query language would be beneficial but not essential.
  • Willingness to learn and apply advanced data analysis techniques within the NetSuite environment.

These prerequisites are designed to ensure that participants have a solid foundation upon which they can build the more advanced skills that will be taught in the course. The course is structured to help learners progress through complex topics, but a certain level of prior knowledge is important for the best possible learning outcome.


Target Audience for SuiteAnalytics: Advanced Searches

SuiteAnalytics: Advanced Searches is a specialized course for professionals seeking to master complex data analysis within NetSuite.


  • Data Analysts
  • Business Analysts
  • NetSuite Administrators
  • IT Consultants specializing in ERP systems
  • Financial Analysts in companies using NetSuite
  • Database Managers
  • Business Intelligence Professionals
  • Operations Managers relying on NetSuite data
  • ERP Developers
  • System Integrators working with NetSuite
  • Accountants who perform complex data searches
  • Report Developers
  • Technical Support Staff for NetSuite products
  • Business Systems Analysts
  • IT Managers overseeing NetSuite environments
  • CTOs/CIOs of organizations using NetSuite
  • NetSuite Implementation Specialists


Learning Objectives - What you will Learn in this SuiteAnalytics: Advanced Searches?

Course Introduction:

The SuiteAnalytics: Advanced Searches course empowers students to master complex search functionalities within NetSuite, enhancing data analysis and reporting capabilities.

Learning Objectives and Outcomes:

  • Understand the creation and application of expressions and nested expressions in saved searches for complex data analysis.
  • Learn advanced techniques to refine and optimize searches for better performance and more relevant results.
  • Acquire the skills to embed HTML within saved searches to create custom-formatted reports and dashboards.
  • Integrate formulas into searches to perform sophisticated data calculations and manipulations.
  • Develop proficiency in making formulas dynamic, allowing for more adaptable and responsive search results.
  • Utilize date, number, and CASE statement formulas to process and analyze data more effectively.
  • Embed HTML in formulas to enhance the visualization and presentation of analytics data.
  • Apply formulas within search criteria to filter data accurately, based on complex conditions.
  • Tackle complex analytics by combining multiple search techniques and formulas to extract deep insights from data.
  • Explore the Training On Demand Appendix, which includes using ODBC (Open Database Connectivity) within searches for advanced Data integration and extraction techniques.

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