From PoC to data product
Develop, operate, and effectively communicate data solutions
Did you know?
This course is part of the certified Data Expert Master Class. By booking the entire Master Class,you save 26 percent compared to booking the individual courses.
- Stakeholder map: Who needs what from data? Management, specialist departments, IT, end users
- Overview of communication modes: storytelling, pitching, reporting, exploration, documentation, change communication
- In-depth: Storytelling & Pitching
Fundamentals of productization: From prototype to viable data solution
- Prototype vs. production system
- productization paths
- Requirements for productive data products
- Functional vs. non-functional requirements
- Minimal architecture of a data product
- Typical reasons for failure in the productization of PoCs
- Handover to IT/Engineering: Roles & Responsibilities
Automation & operation of data products (DataOps/MLOps Light)
- Types of automation: data pipeline, model pipeline/scoring, dashboard/KPI refresh
- Scheduling & Trigger (conceptual)
- Logging & traceability
- Monitoring: Data, model, and process monitoring
- Operational KPIs for data products
- KPI-based alerts
- Data drift & model drift
- Re-training, model and data versioning, lifecycle management
- Operating models & responsibilities in daily operations
- Incident handling: typical mistakes and reactions
- Recap of the self-study phase
- Criteria: When is a PoC "finished"?
- Decision logic: Continue? Stop? Pivot? (common reasons for PoC failure)
- Evaluate PoC based on business value, data quality, feasibility
- Identification of technical and organizational gaps
- Governance & Data Quality (roles, responsibilities)
Documentation & Reproducibility
- Documentation as a mode of communication and why it is more than just a "record"
- Best practices for documentation
- documentation artifacts
- Minimum Viable Documentation (MVD - How much documentation is just enough?)
- Handover documentation for operations/IT
Storytelling, reporting, and change communication
- Change Communication: Stakeholder Mapping & Message Matrix
- Reporting: Management vs. operational users
- storytelling framework
- Communication artifacts for productive data products
- Communication risks with data products
- Recap of the self-study phase
- PoC as a software component — batch service, API service, embedded analytics
- Integration into business: alerts, KPI dashboards, processes
- Create and present the roadmap (technology, organization, communication)
- Exercise: Use case in 2 sentences as a software module (input → processing → output → consumer)
- From insights to impact: How communication enables business change
- Reflection & Conclusion — Lessons Learned
Contents and course schedule
1. From idea to viable data solution
- PoC vs. productive service: differences in objective, scope, and quality
- Productization paths: batch, API, pipeline
- Requirements for productive data products (stability, testability, reproducibility)
- Roles and responsibilities during handover to IT/Engineering
2. Understanding operation and automation
- Automation concepts: data pipelines, model pipelines, KPI refresh
- Monitoring of data, models, and processes
- Data drift, model drift, and retraining
- Lifecycle management & incident handling in daily operations
3. Hands-on: Evaluating PoCs & making decisions
- Application to own or specified use cases:
- Criteria-based assessment: Continue, stop, or pivot?
- Identification of technical and organizational gaps
- Derivation of concrete steps for productization
- Creating PoC documentation in 5 steps
4. Documentation & reproducibility
- Decision logs, data and model versioning
- Minimum Viable Documentation (MVD) for productive data solutions
- Workflow documentation & handover to operations/IT
- Hands On: Create a simple process plan & short documentation
5. Reporting, storytelling, and change communication
- The right messages for management and operationalusers
- Reporting artifacts (KPI dashboards, alerts, update notes)
- Storytelling frameworks for data products
- Actively involving stakeholders: Designing effective change communication
- Hands On: 1-Slide Storyline for Management
6. Integration, roadmap, and management pitch
- PoC as a software component: batch, API, embedded analytics (conceptual)
- Integration into business: processes, alerts, KPI mechanisms
- Create roadmaps (technology, organization, communication)
- Pitch todecision makers: clear, concise, effective
- Lessons learned and best practices for the future
This is how you learn in this course
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.
Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).
Your benefit
- You understand why the transition from PoC to productive solution is the decisive success factor for data projectsand how to design it systematically.
- You recognize the technical, organizational, and communication requirements that a data product must meet in order to function reliably in everyday use.
- You will learn to evaluate PoCs in a structured manner and make informed decisions about whether to continue, stop, or pivot.
- You know how data solutions are automated, monitored, and managed throughout their lifecycle.
- You can document data products in such a way that they are traceable and reproducible.
- You master storytelling, reporting, and change communication as key levers for building acceptance and making business impact visible.
- You will gain qualifications in a field of expertise that will be indispensable in all data-driven companies in the future.
- You benefit from an active learning community, practical exercises, and the opportunity to contribute your own use cases.
You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
Take an active part in our learning community and work with your own questions - this is how you will benefit most from this online training. This allows you to apply the content both in self-study and in practical exercises.
Methods
A well-thought-out mix of content, methods and support is essential for learning success, especially in blended online learning. Our course concept is precisely tailored to this: structured self-study phases, in-depth trainers, best-practice examples, practical exercises, discussions and sharing experiences in the learning community.
Tool
Recommended for
This training course is suitable for anyone who wants to develop a future-oriented data mindset and learn how to create real added value through data. You will learn how to design PoCs for data and AI projects, evaluate their feasibility, and confidently act as an interface between business and IT.
Project managers in data projects
- process managers
- Specialists from controlling, HR, finance, and other departments who finally want to move beyond Excel spreadsheets
- IT specialists and individuals who are proficient in a scripting language
- Individuals with little prior experience with data but who are highly motivated to work in a data-driven manner
Mastering the future
Recognize potential, manage data projects, and increase added value—with the "Data Expert" master class.
Start dates and details
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Experience the benefits of online training from the comfort of your own home. Our online formats meet the highest quality standards and are in no way inferior to face-to-face events in terms of practical relevance. Learn together live online in interactive groups or digitally at a time of your choice.
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Questions & Answers
In our Questions & Answers (FAQ) section, you will find all the answers and the most frequently asked questions about your selected topic.
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