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Modernize Data Architecture for Measurable Business Results

Enable the business to achieve operational excellence, client intimacy and product leadership with an innovative, agile and fit-for-purpose data architecture practice.

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Organizations who do not modernize their data architecture practice:

  • Cannot take advantage of new innovations in the data space.
  • Fail to create a data blueprint that supports evolving business needs.
  • Will suffer from issues with data access and quality.

Maturing an organization’s data architecture capabilities and investing in modern elements will:

  • Allow the organization to capitalize on new opportunities in big data and analytics.
  • Enable the business to have more accurate and scalable data models and data blueprints.
  • Improve the business’s access to trustworthy data.

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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.

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Module 1: Develop a Data Architecture (DA) Vision

The Purpose

  • Discuss key business drivers and strategies.
  • Identify data strategies.
  • Develop a data architecture vision.
  • Assess data architecture practice capabilities. 

Key Benefits Achieved

  • A data architecture vision aligned with the business.
  • A completed assessment of the organization’s current data architecture practice capabilities.
  • Identification of "to be" data architecture practice capabilities.
  • Identification of key gaps. 

Activities: Outputs:
1.1 Explain approach and value proposition
1.2 Discuss business vision and key drivers
1.3 Discover business pain points and needs
1.4 Determine data strategies
  • Data strategies
  • Data architecture vision
1.5 Assess DA practice capabilities
  • Current and target capabilities for the modernized DA practice

Module 2: Assess DA Core Capabilities (Part 1)

The Purpose

  • Assess the enterprise data model (EDM).
  • Assess current and target data warehouse, BI/analytics, and big data architectures.

Key Benefits Achieved

  • A completed assessment of the organization’s current EDM, data warehouse, BI and analytics, and big data architectures.
  • Identification of "to be" capabilities for the organization’s EDM, data warehouse, BI and analytics, and big data architectures.
  • Identification of key gaps.

Activities: Outputs:
2.1 Present an overarching DA capability model
2.2 Assess current and target EDM capabilities
  • Target capabilities for EDM
2.3 Assess current/target data warehouse, BI/analytics, and big data architectures
  • Target capabilities for data warehouse architecture, BI architecture, and big data architecture
2.4 Identify gaps and high level strategies

Module 3: Assess DA Core Capabilities (Part 2)

The Purpose

  • Assess EDM.
  • Assess current/target MDM, metadata, data integration, and content architectures.
  • Assess dynamic data models.

Key Benefits Achieved

  • A completed assessment of the organization’s current MDM, metadata, data integration, and content architectures.
  • Identification of “to be” capabilities for the organization’s MDM, metadata, data integration, and content architectures.
  • Identification of key gaps.

Activities: Outputs:
3.1 Present an overarching DA capability model
3.2 Assess current and target MDM, metadata, data integration, and content architectures
  • Target capabilities for MDM architecture, metadata architecture, data integration architecture, and document & content architecture
3.3 Assess data lineage and data delivery model
  • Target capabilities for data lineage/delivery
3.4 Identify gaps and high level strategies

Module 4: Analyze Gaps and Formulate Strategies

The Purpose

  • Map performance gaps and document key initiatives from the diagnostic assessment.
  • Identify additional gaps and action items.
  • Formulate strategies and initiatives to address priority gaps. 

Key Benefits Achieved

  • Prioritized gap analysis.
  • Improvement initiatives and related strategies.

Activities: Outputs:
4.1 Map performance gaps to business vision, pain points, and needs
4.2 Identify additional gaps
4.3 Consolidate/rationalize/prioritize gaps
  • Prioritized gaps
4.4 Formulate strategies and actions to address gaps
  • Data architecture modernization strategies

Module 5: Develop a Data Architecture Roadmap

The Purpose

  • Plot initiatives and strategies on a strategic roadmap.

Key Benefits Achieved

  • A roadmap with prioritized and sequenced initiatives.
  • Milestone plan.
  • Executive report. 

Activities: Outputs:
5.1 Transform strategies into a plan of action
5.2 Plot actions on a prioritized roadmap
  • Data architecture modernization roadmap
5.3 Identify and discuss next milestone plan
5.4 Compile an executive report
  • Data architecture assessment and roadmap report (from analyst team)
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