Modernize Data Architecture for Measurable Business Results

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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.

Modernize Data Architecture for Measurable Business Results Research & Tools

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.

Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.

9.0/10

Overall Impact

Client

Experience

Impact

$ Saved

Days Saved

Testimonial

G+T Service Company Pty Ltd

Guided Implementation

9/10

N/A

It was a great call but gave us a lot of infor to consider about next steps. At this stage I can't quantify time or money saved but as we get into ... Read More

Blackbaud

Guided Implementation

10/10

N/A

Igor provided valuable direction and insight into next steps on our Data Strategy. I look forward to our next discussion!

Spang & Company

Guided Implementation

9/10

$31,499

HealthRIGHT 360

Guided Implementation

10/10

$47,500

120

Dirk is very knowledgeable, and listened well to my situation. He provided a ton of great advice in a simple to understand manner.

Omaha Public Power District

Guided Implementation

9/10

$11,063

Thales Group Canada

Guided Implementation

10/10

$31,405

The knowledge Igor was able to impart in the short amount of time we had together and provide me with a direction to continue work on.

Fisheries and Oceans Canada

Workshop

7/10

$9,000

It took a couple of days to get the right focus and level of details.

Toronto Community Housing Corporation

Workshop

9/10

$400K

In terms of the value at current, we can say how much time it is saving immediately as indicated with my responses. The value to the organization,... Read More

Palmer College of Chiropractic

Guided Implementation

10/10

N/A

Solid advice and stepped process identified on how to move forward.

Hydro-Quebec

Workshop

10/10

$500K

Good parts: - The recommendations which resulted from the workshops were very relevant and helpful to Hydro-Québec. - Andy's high level of ... Read More

Amicus Therapeutics

Guided Implementation

10/10

N/A

It's difficult to estimate the impact at this stage however we are beginning with nothing so it will be valuable.

Kentucky COT (Commonwealth Office of Technology)

Guided Implementation

8/10

N/A

Andy has provided good information and follow-up material that we can use.

Wolf & Company, P.C.

Guided Implementation

10/10

N/A

Worst part was realizing how much I don't know !! Best part was Andy's extremely clear approach to explaining things

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Workshop: Modernize Data Architecture for Measurable Business Results

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 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: 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)

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

Table of Contents

Need Extra Help?
Speak With An Analyst

Get the help you need in this 3-phase advisory process. You'll receive 8 touchpoints with our researchers, all included in your membership.

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