- 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.
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.
9.5/10
Overall Impact
Client
Experience
Impact
$ Saved
Days Saved
G+T Service Company Pty Ltd
Guided Implementation
9/10
N/A
N/A
Blackbaud
Guided Implementation
10/10
N/A
N/A
Spang & Company
Guided Implementation
9/10
$31,499
5
HealthRIGHT 360
Guided Implementation
10/10
$47,500
120
Omaha Public Power District
Guided Implementation
9/10
$11,063
5
Thales Group Canada
Guided Implementation
10/10
$31,405
20
Fisheries and Oceans Canada
Workshop
7/10
$9,000
5
Toronto Community Housing Corporation
Workshop
9/10
$400K
50
Palmer College of Chiropractic
Guided Implementation
10/10
N/A
50
Hydro-Quebec
Workshop
10/10
$500K
55
Amicus Therapeutics
Guided Implementation
10/10
N/A
N/A
Kentucky COT (Commonwealth Office of Technology)
Guided Implementation
8/10
N/A
20
Wolf & Company, P.C.
Guided Implementation
10/10
N/A
10
Data Architecture
Note: This course will be updated in July 2023.
Modernize your data architecture capabilities to enable agile, fit-for-purpose delivery of quality data services in the small and big data space.
This course makes up part of the Data & BI Certificate.
- Course Modules: 4
- Estimated Completion Time: 2-2.5 hours
- Featured Analysts:
- Steve Wilson, Sr. Research Director, BI & Data Management
- David Piazza, VP of Research & Advisory, Applications Practice
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
Explain approach and value proposition
Discuss business vision and key drivers
Discover business pain points and needs
Determine data strategies
- Data strategies
- Data architecture vision
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
Present an overarching DA capability model
Assess current and target EDM capabilities
- Target capabilities for EDM
Assess current/target data warehouse, BI/analytics, and big data architectures
- Target capabilities for data warehouse architecture, BI architecture, and big data architecture
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
Present an overarching DA capability model
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
Assess data lineage and data delivery model
- Target capabilities for data lineage/delivery
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
Map performance gaps to business vision, pain points, and needs
Identify additional gaps
Consolidate/rationalize/prioritize gaps
- Prioritized gaps
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
Transform strategies into a plan of action
Plot actions on a prioritized roadmap
- Data architecture modernization roadmap
Identify and discuss next milestone plan
Compile an executive report
- Data architecture assessment and roadmap report (from analyst team)