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Build a Business-Aligned Data Architecture Optimization Strategy

Optimizing your data architecture requires a prioritized and tactical plan for the people, processes, and technology, not just data models.

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Contributors

  • Ron Huizenga, Embarcadero Technologies, Inc.
  • Andrew Johnston, Independent Consultant
  • Darrell Enslinger, Government Employees Health Association
  • Anonymous contributors

Your Challenge

  • Data architecture involves many moving pieces requiring coordination to provide greatest value from data.
  • Data architects are at the center of this turmoil and must be able to translate high-level business requirements into specific instructions for data workers using complex data models.
  • Data architects must account for the constantly growing data and application complexity, more demanding needs from the business, an ever-increasing number of data sources, and a growing need to integrate components to ensure that performance isn’t compromised.

Our Advice

Critical Insight

  • Data architecture needs to evolve with the changing business landscape. There are four common business drivers that put most pressure on archaic architectures. As a result, the organization’s architecture must be flexible and responsive to changing business needs.
  • Data architecture is not just about models. Viewing data architecture as just technical data modeling can lead to structurally unsound data that does not serve the business.
  • Data is used differently across the layers of an organization’s data architecture, and the capabilities needed to optimize use of data change with it. Architecting and managing data from source to warehousing to presentation requires different tactics for optimal use.

Impact and Result

  • Have a framework in place to identify the appropriate solution for the challenge at hand. Our three-phase practical approach will help you build a custom and modernized data architecture.
    • Identify and prioritize the business drivers in which data architecture changes would create the largest overall benefit, and determine the corresponding data architecture tiers that need to be addressed.
    • Discover the best-practice trends, measure your current state, and define the targets for your data architecture tactics.
    • Build a cohesive and personalized roadmap for restructuring your data architecture. Manage your decisions and resulting changes.

Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to find out why your organization should optimize its data architecture as it evolves with the drivers of the business to get the most from its data.

1. Prioritize your data architecture with business-driven tactics

Identify the business drivers that necessitate data architecture improvements, then create a tactical plan for optimization.

2. Personalize your tactics to optimize your data architecture

Analyze how you stack up to Info-Tech’s data architecture capability model to uncover your tactical plan, and discover groundbreaking data architecture trends and how you can fit them into your action plan.

3. Create your tactical data architecture roadmap

Optimize your data architecture by following tactical initiatives and managing the resulting change brought on by those optimization activities.

Guided Implementations

This guided implementation is an eight call advisory process.

Guided Implementation #1 - Prioritize your data architecture with business-driven tactics.

Call #1 - Understand what data architecture is, how it aligns with enterprise architecture, and how data architects support the needs of the business.
Call #2 - Identify the business drivers that necessitate the optimization of the organization’s data architecture
Call #3 - Create a tactical plan to optimize data architecture across Info-Tech’s five-tier logical data architecture model.

Guided Implementation #2 - Prioritize your data architecture with business-driven tactics

Call #1 - Understand Info-Tech’s tactical data architecture capability model and measure the current state of these capabilities at the organization.
Call #2 - Determine the target state of data architecture capabilities.
Call #3 - Understand the trends in the field of data architecture and identify how they can fit into your environment.

Guided Implementation #3 - Create your tactical data architecture roadmap

Call #1 - Use the results of the data architecture capability gap assessment to determine the priority of activities to populate your personalized data architecture optimization roadmap.
Call #2 - Understand how to manage change as a data architect or equivalent.

Onsite Workshop

Discuss This Workshop

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 roadmap 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 five-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.

  • Five-tier logical data architecture model
1.2

Review the common business drivers and how the organization is driving a need to optimize data architecture.

  • Data architecture tactic plan
1.3

Understand Info-Tech’s five-tier data architecture model.

1.4

Determine the pattern of tactics that apply to the organization for optimization.

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.

  • Business unit prioritization roadmap
2.2

Develop subject area project scope.

  • Subject area scope
2.3

Subject area 1: data lineage analysis, root cause analysis, impact assessment, business analysis

  • Data lineage diagram

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.

  • Business unit prioritization roadmap
3.2

Develop subject area project scope.

  • Subject area scope
3.3

Subject area 1: data lineage analysis, root cause analysis, impact assessment, business analysis.

  • Data lineage diagram