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Hyperion Financial Data Quality Management EE Administration Ed 2 Course Overview

Hyperion Financial Data Quality Management EE Administration Ed 2 Course Overview

The Hyperion Financial Data Quality Management Enterprise Edition (FDMEE) Administration Ed 2 course is an extensive training program aimed at equipping learners with the knowledge and skills necessary to manage and automate data loading and transformation in the context of finance systems. Through a series of modules, participants will understand how to integrate and align financial data, ensuring accuracy and consistency across financial reports and analyses.

Starting with product orientation, the course progresses through preparing FDMEE integrations, setting up import formats, completing integration setup, and establishing data load mappings. Learners will also dive into defining and executing data load rules, processing data in the data load workbench, and setting up check rules and entities. Advanced topics include reporting, security, scripting for imports, mappings, events, and integration with other source systems. The course also covers loading journals, creating logic accounts, enabling cell text loading, migrations with lifecycle management, and processing planning data.

By the end of the course, participants will have a comprehensive understanding of FDMEE functionalities and capabilities, which will help streamline financial data management processes within their organizations.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 32 Hours)
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  • Live Online Training (Duration : 32 Hours)
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Classroom Training price is on request

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Course Prerequisites

To ensure that participants can successfully engage with the Hyperion Financial Data Quality Management Enterprise Edition (FDMEE) Administration Ed 2 course and fully benefit from its content, the following are the minimum prerequisites:


  • Basic understanding of financial data management concepts and principles.
  • Familiarity with financial reporting and analysis processes.
  • Experience with or knowledge of general ledger and accounting systems.
  • Basic proficiency with Microsoft Excel, as it is often used for data manipulation and analysis within FDMEE.
  • Some exposure to Enterprise Performance Management (EPM) and Oracle Hyperion applications is beneficial, though not mandatory.
  • Basic knowledge of data integration and ETL (Extract, Transform, Load) processes.
  • Understanding of system administration concepts would be advantageous.
  • Analytical skills to interpret and map financial data between systems.

While prior experience with FDMEE is not a strict requirement, it would be helpful for students to have a general awareness of its role in the financial data integration process. The course is designed to build on these foundations, guiding participants through the administration and operation of the FDMEE solution.


Target Audience for Hyperion Financial Data Quality Management EE Administration Ed 2

  1. This course offers comprehensive training in administering Oracle's Hyperion FDMEE, targeting professionals in financial data management and integration.


  2. Target audience for the Hyperion Financial Data Quality Management EE Administration Ed 2 course:


  • Financial Analysts
  • IT Professionals specializing in finance systems
  • System Administrators for Hyperion solutions
  • Data Managers and Analysts
  • ERP Professionals seeking to understand FDMEE integration
  • Financial Controllers
  • Business Intelligence Specialists
  • Financial Data Quality Managers
  • Hyperion Planning and Essbase Administrators
  • Oracle EPM Infrastructure Specialists


Learning Objectives - What you will Learn in this Hyperion Financial Data Quality Management EE Administration Ed 2?

Course Introduction:

Gain comprehensive knowledge on Oracle Hyperion FDMEE to integrate financial data and enhance data quality management with hands-on experience in FDMEE administration, integration, and data processing.

Learning Objectives and Outcomes:

  • Understand the core concepts and functionality of Hyperion Financial Data Quality Management Enterprise Edition (FDMEE).
  • Learn to prepare FDMEE integrations with various source systems for seamless data import and export.
  • Acquire skills in setting up import formats to effectively manage file-based data integrations.
  • Master the completion of integration setup to ensure accurate data flow between source systems and target applications.
  • Develop proficiency in setting up data load mappings to transform and map source data to target dimensions.
  • Define and execute data load rules to automate the loading of financial data into target systems.
  • Process data using the Data Load Workbench and troubleshoot common data processing issues.
  • Implement check rules and check entities to ensure data integrity and validation before data loading.
  • Manage batch processing for efficient data loads and learn to schedule and automate these processes.
  • Create and customize reports within FDMEE to provide stakeholders with insightful financial data analysis.
  • Configure security settings to maintain proper access control and data confidentiality within FDMEE.
  • Write import scripts to enhance and customize the data import process according to business requirements.
  • Define mapping and event scripts to automate data transformations and integrations.
  • Integrate FDMEE with other source systems, including ERPs, to extend the scope of financial data management.
  • Load journals into FDMEE for an accurate representation of financial records in reporting and analytics.
  • Create logic accounts to enable complex calculations and data manipulations within FDMEE.
  • Enable cell text loading to attach descriptive information to financial data for richer context.
  • Utilize Lifecycle Management for safe and effective migration of FDMEE artifacts between environments.
  • Process Planning Data in Data Load Workbench to integrate and manage budgeting and forecasting data within the EPM suite.