Build a Data Architecture Roadmap


Optimizing data architecture requires a plan, not just a data model.

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Major Business Pain Points

  • 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.
Build a Data Architecture Roadmap-Pain Points

Recommendations

Key Points

  • 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.

Approach

Build a Data Architecture Roadmap-Recommendations
  • 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.

Methodology and Tools

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.

  • Build a Data Architecture Roadmap – Executive Brief
  • Build a Data Architecture Roadmap – Phases 1-3

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.

  • Build a Business-Aligned Data Architecture Optimization Strategy – Phase 1: Prioritize Your Data Architecture With Business-Driven Tactics
  • Data Architecture Driver Pattern Identification Tool
  • Data Architecture Optimization Template

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.

  • Build a Business-Aligned Data Architecture Optimization Strategy – Phase 2: Personalize Your Tactics to Optimize Your Data Architecture
  • Data Architecture Tactical Roadmap Tool
  • Data Architecture Trends Presentation

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.

  • Build a Business-Aligned Data Architecture Optimization Strategy – Phase 3: Create Your Tactical Data Architecture Roadmap
  • Data Architecture Decision Template

All resources on this page are provided to Cyber Leadership Hub members under license from third parties including Info-Tech Research Group Inc, a global leader in providing IT research and advice.