From PoC to data product

Course

Booking no:

42572

From PoC to data product

Companies invest a lot of resources in proof-of-concepts. But only a fraction of them make it into productive use. This course shows you how to develop viable data products from PoCs that run reliably, generate real business impact, and gain organizational acceptance. With practical methods, basic architectural principles, and clear decision-making logic, you will learn how to structure, operate, and effectively communicate data solutions.

4 weeks

approx. 20 hours

Online

German

Master Class

Date preview

Start date

Last module

Availability

Location

8.9.2026

8.10.2026

Places free

Maximum planning security

Implementation already secured

Hook on!

Next booking secures the
implementation

Live-Online

6.10.2026

3.11.2026

Places free

Maximum planning security

Implementation already secured

Hook on!

Next booking secures the
implementation

Live-Online

Book course individually

Module overview

The following module overview shows dates for the course start on

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Module

Communication in the data lifecycle

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

Webinar

120 minutes

Tuesday, September 8, 2026
, 9:00 a.m. – 11:00 a.m.

61453993

Module

Communication in the data lifecycle

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

Webinar

120 minutes

Tuesday, 06.10.2026
09:00 am - 11:00 am

61453994

Module

Self-study phase 1

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

Self-study phase

approx. 6 hours

61453993

Module

Self-study phase 1

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

Self-study phase

approx. 6 hours

61453994

Module

Evaluate PoCs & make decisions

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)

Webinar

240 minutes

Tuesday, September 22, 2026
9:00 a.m. - 1:00 p.m.

61453993

Module

Evaluate PoCs & make decisions

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)

Webinar

240 minutes

Tuesday, October 20, 2026
9:00 a.m. - 1:00 p.m.

61453994

Module

Self-study phase 2

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

Self-study phase

approx. 6 hours

61453993

Module

Self-study phase 2

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

Self-study phase

approx. 6 hours

61453994

Module

Roadmap, Integration & Management Pitch

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

Webinar

240 minutes

Thursday, October 8, 2026
, 9:00 a.m. – 1:00 p.m.

61453993

Module

Roadmap, Integration & Management Pitch

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

Webinar

240 minutes

Tuesday, November 3, 2026
9:00 a.m. - 1:00 p.m.

61453994

Course overview

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).