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Design Data-as-a-Service

Journey to the data marketplace ecosystems.

  • Lack of a consistent approach in accessing internal and external data within the organization and sharing data with third parties.
  • Data consumed by most organizations lacks proper data quality, data certification, standards tractability, and lineage.
  • Organizations are looking for guidance in terms of readily accessible data from others and data that can be shared with others or monetized.

Our Advice

Critical Insight

  • Despite data being everywhere, most organizations struggle to find accurate, trustworthy, and meaningful data when required.
  • Connecting to data should be as easy as connecting to the internet. This is achievable if all organizations start participating in the data marketplace ecosystem by leveraging a Data-as-a-Service (DaaS) framework.

Impact and Result

  • Data marketplaces facilitate data sharing between the data producer and the data consumer. The data product must be carefully designed to truly benefit in today’s connected data ecosystem.
  • Follow Info-Tech’s step-by-step approach to establish your DaaS framework:
    1. Understand Data Ecosystem
    2. Design Data Products
    3. Establish DaaS framework

Design Data-as-a-Service Research & Tools

Start here – Read the Executive Brief

Read our concise Executive Brief to find out why you should design Data-as-a-Service (DaaS), review Info-Tech’s methodology, and understand the four ways we can support you in completing this project.

Design Data-as-a-Service – Executive Brief
Design Data-as-a-Service – Phases 1-3

1. Understand data ecosystem

Provide clear benefits of adopting the DaaS framework and solid rationale for moving towards a more connected data ecosystem and avoiding data silos.

Design Data-as-a-Service – Phase 1: Understand Data Ecosystem

2. Design data product

Leverage design thinking methodology and templates to document your most important data products.

Design Data-as-a-Service – Phase 2: Design Data Product

3. Establish a DaaS framework

Capture internal and external data sources critical to data products success for the organization and document an end-to-end DaaS framework.

Design Data-as-a-Service – Phase 3: Establish a DaaS Framework
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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.

10.0/10

Overall Impact

$1,000

Average $ Saved

3

Average Days Saved

Client

Experience

Impact

$ Saved

Days Saved

Treasury Board of Canada Secretariat - Data and Digital Policy Sector

Guided Implementation

10/10

$1,000

3

Usman was able to provide me with advice and information I could understand and action into the work I am doing. Being new to the data space, Usman... Read More

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On Demand

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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.

MEMBER RATING

10.0/10
Overall Impact

$1,000
Average $ Saved

3
Average Days Saved

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.

Read what our members are saying

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?
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: Understand data ecosystem
  • Call 1: Scope requirements, objectives, and your specific challenges.
  • Call 2: Assess current maturity.
  • Call 3: Discuss DaaS benefits and concepts.

Guided Implementation 2: Design data product
  • Call 1: Evaluate data product idea.
  • Call 2: Create data product design.

Guided Implementation 3: Establish a DaaS framework
  • Call 1: Map internal and external data.
  • Call 2: Document data service framework.
  • Call 3: Formalize data sharing agreements.

Author

Rajesh Parab

Contributors

  • Calvin Robinson, Data Architect, NASA
  • Jorden Thomas, Solution Architect, Databricks
  • Wouter Los, Owner, Los consulting
  • Izabela Edmunds, Architect, Mott Macdonald LLC.
  • Jodie Lunnon, Data Manager, Mott Macdonald LLC.
  • Krishna Mupparaju, CDO, Kentucky COT

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