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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Your Challenge

  • Data architecture projects have often failed in the past, causing businesses today to view the launch of a new project as a costly initiative with unclear business value.
  • New technologies in big data and analytics are requiring organizations to modernize their data architecture, but most organizations have failed to spend the time and effort refining the appropriate data models and blueprints that enable them to do so.
  • As the benefits for data architecture are often diffused across an organization’s information management practice, it can be difficult for the business to understand the value and necessity of data architecture.

Our Advice

Critical Insight

  • At the heart of tomorrow’s insights-driven enterprises is a modern data environment anchored in fit-for-purpose data architectures.
  • The role of traditional data architecture is transcending beyond organizational boundaries and its focus is shifting from “keeping the lights on” (i.e. operational data and BI) to providing game-changing insights gleaned from untapped big data.

Impact and Result

  • Perform a diagnostic assessment of your present day architecture and identify the capabilities of your future “to be” environment to position your organization to capitalize on new opportunities in the data space.
  • Use Info-Tech’s program diagnostic assessment and guidance for developing a strategic roadmap to support your team in building a fit-for purpose data architecture practice.
  • Create a data delivery architecture that harmonizes traditional and modern architectural opportunities. 

Contributors

  • Michael Blaha, Author, Patterns of Data Modeling
  • Martin Sykora, Director, NexJ Analytics
  • David Birmingham, Senior Solutions Architect, Brightlight Consulting
  • Anne Marie Smith, Ph.D, Board of Directors, DAMA International 

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Get to Action

Start here – read the Executive Brief

Read our concise Executive Brief to find out why you should modernize your data architecture, review Info-Tech’s methodology, and understand the four ways we can support you in completing this project.

  1. Develop a data architecture vision

    Plan your data architecture project and align it with the business and its strategic vision.

  2. Assess data architecture capabilities

    Evaluate the current and target capabilities of your data architecture, using the accompanying diagnostic assessment to identify performance gaps and build a fit-for-purpose practice.

  3. Develop a data architecture roadmap

    Translate your planned initiatives into a sequenced roadmap.

Guided Implementation icon Guided Implementation

This guided implementation is an eight call advisory process.

    Guided Implementation #1 - Develop a data architecture vision

  • Call #1: Plan your data architecture modernization project

  • Call #2: Create your data architecture vision

  • Guided Implementation #2 - Assess data architecture capabilities

  • Call #1: Assess the capabilities of the organization’s data architecture practice

  • Call #2: Assess your enterprise data model

  • Call #3: Assess and plan the capabilities of each related architecture

  • Call #4: Assess your organization’s dynamic data architecture models

  • Guided Implementation #3 - Develop a data architecture roadmap

  • Call #1: Review planned initiatives

  • Call #2: Discuss roadmap findings and next steps

Onsite Workshop

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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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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