- 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
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.Besides the small introduction, subscribers and consulting clients within this management domain have access to:
- 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
Workshop: Design Data-as-a-Service
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.
1 Data Marketplace and DaaS Explained
The Purpose
The purpose of this module is to provide a clear understanding of the key concepts such as data marketplace, data sharing, and data products.
Key Benefits Achieved
This module will provide clear benefits of adopting the DaaS framework and solid rationale for moving towards a more connected data ecosystem and avoiding data silos.
Activities
1.1 Review the business context
1.2 Understand the data ecosystem
1.3 Draft products ideas and use cases
1.4 Capture data product metrics
Outputs
Data product ideas
Data sharing use cases
Data product metrics
2 Design Data Product
The Purpose
The purpose of this module is to leverage design thinking methodology and templates to document the most important data products.
Key Benefits Achieved
Data products design that incorporates end-to-end customer journey and stakeholder map.
Activities
2.1 Create a stakeholder map
2.2 Establish a persona
2.3 Data consumer journey map
2.4 Document data product design
Outputs
Data product design
3 Assess Data Sources
The Purpose
The purpose of this module is to capture internal and external data sources critical to data product success.
Key Benefits Achieved
Break down silos by integrating internal and external data sources
Activities
3.1 Review the conceptual data model
3.2 Map internal and external data sources
3.3 Document data sources
Outputs
Internal and external data sources relationship map
4 Establish a DaaS Framework
The Purpose
The purpose of this module is to document end-to-end DaaS framework.
Key Benefits Achieved
End-to-end framework that breaks down silos and enables data product that can be exchanged for long-term success.
Activities
4.1 Design target state DaaS framework
4.2 Document DaaS framework
4.3 Assess the gaps between current and target environments
4.4 Brainstorm initiatives to develop DaaS capabilities
Outputs
Target DaaS framework
DaaS initiative