
Data sharing can be difficult and risky:
- Data is locked in silos.
- There are poorly defined data laws, standards, and practices.
Breaking down barriers between a data provider and data consumer has benefits.
- Data sharing has enormous economic and societal benefits.
- Build a data marketplace: A digital platform to exchange or trade data.
- Identify the type of data needed to consume from the marketplace and/or exchange with the marketplace.
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Book NowModule 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: | Outputs: | |
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1.1 | Review the business context |
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1.2 | Understand the data ecosystem |
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1.3 | Draft products ideas and use cases |
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1.4 | Capture data product metrics |
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Module 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: | Outputs: | |
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2.1 | Create a stakeholder map |
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2.2 | Establish a persona |
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2.3 | Data consumer journey map |
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2.4 | Document data product design |
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Module 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: | Outputs: | |
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3.1 | Review the conceptual data model |
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3.2 | Map internal and external data sources |
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3.3 | Document data sources |
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Module 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: | Outputs: | |
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4.1 | Design target state DaaS framework |
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4.2 | Document DaaS framework |
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4.3 | Assess the gaps between current and target environments |
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4.4 | Brainstorm initiatives to develop DaaS capabilities |
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