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:
- Understand Data Ecosystem
- Design Data Products
- Establish DaaS framework
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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.
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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.
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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Build a Robust and Comprehensive Data Strategy
Mandate Data Valuation Before It’s Mandated
Position and Agree on ROI to Maximize the Impact of Data and Analytics
Create a Data Management Roadmap
Establish Data Governance
Build a Data Architecture Roadmap
Build a Data Integration Strategy
Build a Data Pipeline for Reporting and Analytics
Build an Extensible Data Warehouse Foundation
Build Your Data Quality Program
Build a Reporting and Analytics Strategy
Mitigate Machine Bias
Design Data-as-a-Service
Create an Architecture for AI
Get Started With Artificial Intelligence
Go the Extra Mile With Blockchain
Understand the Data and Analytics Landscape
Select Your Data Platform
Build Your Data Practice and Platform
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Establish Effective Data Stewardship
Identify and Build the Data & Analytics Skills Your Organization Needs
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