Develop a Master Data Management Practice and Platform
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Immature or non-existent master data management (MDM) results in:
- Lost partners or customers due to data errors.
- Duplicate, incomplete, stale, invalid, and conflicting data.
- Inaccurate business decisions made from incorrect or incomplete data.
A formalized MDM capability results in:
- A single consolidated and accurate view of an organization’s most valuable data assets.
- Improved business confidence when making decisions.
- Centralized data, resolved duplicate records, and detected and declared relationships and hierarchies between data.
- Data made available to the applications, people, and processes that need it.
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Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.
Book NowModule 1: Develop a Vision for the MDM Project
The Purpose
- Identification of MDM and why it is important.
- Differentiate between reference data and master data.
- Discuss and understand the key challenges and pains felt by the business and IT with respect to master data, and identify the opportunities MDM can provide to the business.
Key Benefits Achieved
- Identification of what is and is not master data.
- Understand the value of MDM and how it can help the organization better monetize its data.
- Knowledge of how master data can benefit both IT and the business.
| Activities: | Outputs: | |
|---|---|---|
| 1.1 | Establish business context for master data management. |
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| 1.2 | Assess the value, benefits, challenges, and opportunities associated with MDM. |
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| 1.3 | Develop the vision, purpose, and scope of master data management for the business. |
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| 1.4 | Identify MDM enablers. |
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| 1.5 | Interview business stakeholders. |
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Module 2: Document the Current State
The Purpose
- Recognize business drivers for MDM.
- Determine where master data lives and how this data moves within the organization.
Key Benefits Achieved
- Streamline business process, map the movement of data, and achieve a common understanding across the company.
- Identify the source of master data and what other systems will contribute to the MDM system.
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Evaluate the risks and value of critical data. |
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| 2.2 | Map and understand the flow of data within the business. |
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| 2.3 | Identify master data sources and users. |
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| 2.4 | Document the current architectural state of the organization. |
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Module 3: Document the Target State
The Purpose
- Document the target data state of the organization surrounding MDM.
- Identify key initiatives and metrics.
Key Benefits Achieved
- Recognition of four MDM implementation styles.
- Identification of key initiatives and success metrics.
| Activities: | Outputs: | |
|---|---|---|
| 3.1 | Document the target architectural state of the organization. |
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| 3.2 | Develop alignment of initiatives to strategies. |
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| 3.3 | Consolidate master data management initiatives and strategies. |
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| 3.4 | Develop a project timeline and define key success measures. |
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Module 4: Develop an MDM Practice and Platform
The Purpose
- Get a clear picture of what the organization wants to get out of MDM.
- Identify master data management capabilities, accountabilities, process, roles, and governance.
Key Benefits Achieved
- Prioritized master data management capabilities, accountabilities, process, roles, and governance.
| Activities: | Outputs: | |
|---|---|---|
| 4.1 | Identify master data management capabilities, roles, process, and governance. |
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| 4.2 | Build a master data management practice and platform. |
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