Build a Data Architecture Roadmap
Optimizing data architecture requires a plan, not just a data model.
RETIRED CONTENT
Please note that the content on this page is retired. This content is not maintained and may contain information or links that are out of date.Not having a business-aligned approach to data architecture results in:
- Inefficient, inaccurate, and delayed decision making.
- Wasted resources due to inefficient operations and processes.
- Inaccurate insights, inconsistent, or erroneous operational and management reports, and ineffective cross-departmental use of analytics.
Having a business-aligned approach to data architecture results in:
- Good data quality, allowing you to generate insights into customer intimacy, operational excellence, and innovation leadership.
- Effective data architecture tactics driven by business need for data.
- A corporate culture that holds data as a priority and an asset.
Book Your Workshop
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.
Module 1: Identify the Drivers of the Business for Optimizing Data Architecture
The Purpose
- Explain approach and value proposition.
- Review the common business drivers and how the organization is driving a need to optimize data architecture.
- Understand Info-Tech’s four-tier data architecture model.
- Determine the pattern of tactics that apply to the organization for optimization.
Key Benefits Achieved
- Understanding of the current data architecture landscape.
- Priorities for tactical initiatives in the data architecture practice are identified.
- Target state for the data quality practice is defined.
| Activities: | Outputs: | |
|---|---|---|
| 1.1 | Explain approach and value proposition. |
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| 1.2 | Review the common business drivers and how the organization is driving a need to optimize data architecture. |
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| 1.3 | Understand Info-Tech’s four-tier data architecture model. |
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| 1.4 | Determine the pattern of tactics that apply to the organization for optimization. |
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Module 2: Determine Your Tactics For Optimizing Data Architecture
The Purpose
- Define improvement initiatives.
- Define a data architecture improvement strategy and roadmap.
Key Benefits Achieved
- Gaps, inefficiencies, and opportunities in the data architecture practice are identified.
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Create business unit prioritization roadmap. |
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| 2.2 | Develop subject area project scope. |
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| 2.3 | Subject area 1: data lineage analysis, root cause analysis, impact assessment, business analysis |
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Module 3: Create a Strategy for Data Quality Project 2
The Purpose
- Define improvement initiatives.
- Define a data quality improvement strategy and roadmap.
Key Benefits Achieved
- Improvement initiatives are defined.
- Improvement initiatives are evaluated and prioritized to develop an improvement strategy.
- A roadmap is defined to depict when and how to tackle the improvement initiatives.
| Activities: | Outputs: | |
|---|---|---|
| 3.1 | Create business unit prioritization roadmap. |
|
| 3.2 | Develop subject area project scope. |
|
| 3.3 | Subject area 1: data lineage analysis, root cause analysis, impact assessment, business analysis. |
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