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  • Reference Data Management (RDM) Basics
  • Reference Data Model
  • Configuring Web User Interface
  • Guided Authoring and reference data mapping
  • Hierarchies
  • Setting up Approval process
  • Import and Export
  • Versioning and Auditing

Reference data is used to drive key business processes and application logic, errors in reference data can have a major negative impact on Business. Mismatches in reference data can impact data quality, affect the integrity of BI reports and also are a common source of application integration failure. By implementing reference data management, you can ensure that consistency and compliance are maintained. It helps business teams access, distribute, and update reference data across multiple systems in a consistent, governed way to meet business needs.

Reference data management can bring consistency to your data. By managing every version of reference data and connecting them through correspondence tables, businesses can achieve semantic consistency across time and between different standards. Without this consistency, organisations would suffer from poor data quality and small errors that could become costly errors in the long run.

 

We will achieve the below in this course:

  • Introduction to Reference Data Management

  • Key capabilities to look for in Reference Data Management solution

  • Data Model

  • Configuring Web User Interface for Business Users

  • Setting up logical flow for users to Create/Edit reference data

  • Viewing reference data mappings between different systems and enterprise values

  • Hierarchies

  • Workflow and Approval Process

  • Import and Export

  • Versioning and Auditing

  • Integration

If you want to learn key concepts and capabilities of reference data management solution, this is the course for you. We will build a complete RDM solution with Semarchy showing end to end lifecycle management of Reference Data. The principals used to build our semarchy RDM solution can be used with other MDM products as well if they offer standard OOTB functionalities like setting up screens, workflows etc.

We will use free 7 day trial from Semarchy xDM to build our RDM solution. Please note this course focuses on building RDM key capabilities which can be implemented in any standard MDM solution and not on teaching Semarchy basics, have got another course 'Introducing Semarchy xDM (MDM) for Beginners' for that.

  • Basic understanding of any MDM product for implementing Reference Data Management (RDM) solution taught in this course
  • Anyone who wants to understand and learn reference data management basics and implementation
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  • Section 1 : Introduction 1 Lectures 00:13:17

    • Lecture 1 :
    • Reference Data Management Introduction Preview
  • Section 2 : RDM Data Model 2 Lectures 00:26:58

    • Lecture 1 :
    • Introduction to Data Model
    • Lecture 2 :
    • Creation of Data Model
  • Section 3 : Intuitive Web User Interface 3 Lectures 00:33:24

    • Lecture 1 :
    • Configuring Web UI
    • Lecture 2 :
    • Enhancing Web UI screens
    • Lecture 3 :
    • Guided Authoring
  • Section 4 : Hierarchies 2 Lectures 00:06:40

    • Lecture 1 :
    • Setting up Hierarchies
    • Lecture 2 :
    • Mapping walkthrough
  • Section 5 : Workflows and Approval process 1 Lectures 00:00:01

    • Lecture 1 :
    • Creating Workflows
  • Section 6 : Import and Export Process 1 Lectures 00:07:41

    • Lecture 1 :
    • Import and Export
  • Section 7 : Versioning and Auditing 1 Lectures 00:12:05

    • Lecture 1 :
    • Setting up versioning and auditing
  • Section 8 : RDM Integration 1 Lectures 00:09:16

    • Lecture 1 :
    • Integration
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3 Courses

Information Management professional with experience in multiple data management assignments focusing on Master Data Management, Data Governance, Data Quality, Data Integration, Data Migration and Data Analysis. Extensive experience in working as well as leading multiple data management engagements. Also work in close collaboration with the business stakeholders to ensure successful program delivery.
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