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Design Data-as-a-Service

Journey to the data marketplace ecosystems.

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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

Your Challenge

  • 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 monetize.

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 facilitates 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

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.

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.

2. Design data product

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

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.

Guided Implementations

This guided implementation is an eight call advisory process.

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.

Onsite Workshop

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Onsite 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 onsite 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.

Module 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

1.1

Review the business context

1.2

Understand the data ecosystem

1.3

Draft products ideas and use cases

  • Data product ideas
  • Data sharing use cases
1.4

Capture data product metrics

  • Data product metrics

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

2.1

Create a stakeholder map

2.2

Establish a persona

2.3

Data consumer journey map

2.4

Document data product design

  • Data product design

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

3.1

Review the conceptual data model

3.2

Map internal and external data sources

  • Internal and external data sources relationship map
3.3

Document data sources

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

4.1

Design target state DaaS framework

4.2

Document DaaS framework

4.3

Assess the gaps between current and target environments

  • Target DaaS framework
4.4

Brainstorm initiatives to develop DaaS capabilities

  • DaaS initiative
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