Build a Data Architecture Roadmap
Optimizing data architecture requires a plan, not just a data model.
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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.
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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: 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. |
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| 3.2 | Develop subject area project scope. |
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| 3.3 | Subject area 1: data lineage analysis, root cause analysis, impact assessment, business analysis. |
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