Data Like a Product
Rye Whalen
Data as a Product
- Aligning with business use cases
- Making data accessible
- Promoting usability
- Ensuring security
- Reflects principles of product management
Data Products: Definitions
Classic Definition:
- Analytical solutions focused on specific use cases.
Data Mesh Approach:
- Accessible datasets as shareable, reusable assets.
Data as an Ecosystem
- Dynamic interactions between domains.
- Contributions influence and are influenced by the whole.
- Stakeholders connected by complex relationships:
- Participants shape the ecosystem.
- Domains collaborate and share responsibility.
Tools for Data Empowerment
Dashboards:
- Visualize KPIs, metrics, and trends in real time.
Reporting Tools:
- Generate structured reports, summarizing historical data.
Self-Service Analytics Platforms:
- Enable non-technical users to explore and visualize data independently.
| # Advanced Analytics and AI |
| Predictive Models: |
| - Use historical data and ML algorithms to forecast outcomes. |
| Automated Decisioning Engines: |
| - Combine predictive models with algorithms to automate decisions without human intervention. |
| AI Products: |
| - Built on ML/AI technologies to: - Solve complex problems. - Enhance user experiences. - Automate tasks and adapt to new data. |
Closing Thoughts
- Treating data as a product integrates technical and business priorities.
- Ensuring usability, security, and accessibility are central to success.
- Data ecosystems require collaboration and shared ownership.
Contact
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