Develop a Five Year Data Architecture Plan

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Cloud computing is here today and even if you aren鈥檛 using it, your competitors are.
Mobile computing is allowing for access to corporate data from anywhere at any time.
Trusting your data goes beyond the quality of what it is, to knowing where it came from, who has had access to it, and how to use it.
Data virtualization is changing data integration, warehousing, and reporting, but it also illuminates data quality issues.
Big data is a big deal. It is changing everything data related from the infrastructure through to the analysis.
Analytics are creating business value by finding hidden and unknown information buried in big structured and unstructured data.

Our Advice

Critical Insight

An enterprise level data architecture will help you deal with and plan for data disruptions.
A holistic view of data repositories, governed by set principles, policies, and guidelines relevant to the organization and the information it manages will prepare you for dealing with changes in data, technology, and resource requirements.
At the root of all data is a person, place, or thing: use your master data as an index to connect your data repositories. Master data management (MDM) maintains a single source of truth for people, places, and things relevant to an organization. Use a MDM repository as an enterprise data integration index.

Impact and Result

Data architecture provides a holistic view of enterprise data repositories, their relationships with each other, and ownership.
Data architecture sets the principles, policies, and guidelines relevant to an organization and the information it manages.
Master data repositories provide a location-independent view of the truth.
Master data needs to be the most trusted data in the organization.
Master data management provides the relationships to derivatives of the people, places, and things.
Master data provides the keys to linking big structured and unstructured data, and is the basis on which analytics are performed.

Develop a Five Year Data Architecture Plan 91制片厂 & Tools

1. Assess current data architecture

Determine an action plan to close gaps and align with business and IT drivers.

2. Determine immediate and critical policy issues

Assess how cloud, mobile, and data trust issues affect the organization鈥檚 data architecture.

3. Manage the organization鈥檚 data in terms of quality, integration, governance, master data, and security

Discover how to improve data management in your organization.

4. Assess and plan for future data architecture issues

Position for initiatives like big data in your data architecture plan.

5. Use the data architecture plan

Follow the details of the plan, including resourcing, communication, and success factors.

Secure your footings in data to lay a foundation that will withstand the winds and rain of today's IT disruptors.

About Info-Tech

91制片厂 is the world鈥檚 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.

Need Extra Help?
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Get the help you need in this 1-phase advisory process. You'll receive 5 touchpoints with our researchers, all included in your membership.

Call 1: Validate architecture documentation and focus

Review your organization鈥檚 current architecture documentation and identify areas of focus for data architecture improvements.
Call 2: Identify critical areas of focus

Using your organization鈥檚 business and IT drivers for cloud and mobile computing, develop architecture building blocks to help mitigate the disruption while weaving data trust foresight into the mix.
Call 3: Determine most effective use of data management technologies and approaches

Understand where and how data integration, virtualization, quality, replication, security, and master data management fit in your environment.
Call 4: Take a position on big data and analytics

Plan now for the future.
Call 5: Review your plan

Identify any gaps in the plan based on reference architectures and best practices.