Data Governance isn’t just policy — it’s how organizations turn chaos into confidence, and data into dependable decisions.
Our instructor-led courses help professionals define roles, implement data quality frameworks, and ensure compliance with evolving regulations.
Training is delivered through online live sessions via interactive remote desktop, or onsite in Leipzig, where workshops simulate the real-world decisions data stewards make every day.
Whether you're designing policies from scratch or fine-tuning enterprise-wide controls, onsite training can take place at your offices in Leipzig or in a NobleProg center built for focused, collaborative learning.
Also referred to as Information Governance, Data Stewardship, or Data Management Policy, this training prepares your organization to protect what it values most.
NobleProg – Your Local Training Provider
Leipzig
NobleProg Leipzig, Arthur Hoffmann Str., Leipzig, germany, 04107
Overview
Our training facilities are located at Arthur Hoffmann Str. in Leipzig. Our spacious classrooms are centrally located near the university and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Bayerischer Bahnhof S-Bahn station. In the north you reach the motorway A41, in the south the motorway A38.
Parking
You will find numerous parking spaces around our training rooms.
Local Services
You will find numerous parking spaces around our training rooms.
AI and Machine Learning are rapidly evolving technologies with significant implications for data governance and organizational compliance.
This instructor-led, live training (online or onsite) is aimed at intermediate-level governance, privacy, and compliance professionals who wish to understand how to implement robust information governance practices in environments using AI and machine learning.
By the end of this training, participants will be able to:
Understand the core concepts of AI and machine learning in an information governance context.
Identify typical areas where AI/ML is deployed in organizations and related IG risks.
Evaluate how AI/ML interacts with Data Protection Principles, records management, and data quality.
Apply DPIAs, governance frameworks, and risk mitigation approaches to AI/ML projects.
Format of the Course
Interactive lecture and discussion.
Real-world case examples and framework analysis.
Group activities and guided document walkthroughs.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Privacy in Federal Institutions is a foundational course focused on the Privacy Act and its requirements for protecting personal information in government operations.
This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in privacy legislation who manage or process citizen data and wish to ensure compliance with the Privacy Act and related federal standards.
By the end of this training, participants will be able to:
Understand the key provisions and principles of the Privacy Act.
Identify personal information and handle it in accordance with legal obligations.
Develop and implement privacy-compliant practices in day-to-day operations.
Respond effectively to access to information and correction requests.
Format of the Course
Interactive lecture and discussion.
Hands-on use of policy scenarios in public sector contexts.
Guided exercises focused on compliance, documentation, and reporting.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Records Management is the process of systematically controlling the creation, distribution, use, and preservation of information throughout its lifecycle.
This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in records management who handle or oversee organizational information and wish to implement compliant, efficient, and sustainable records retention and archiving systems.
By the end of this training, participants will be able to:
Understand legal and regulatory obligations for records retention in government agencies.
Establish records classification systems aligned with operational needs and compliance requirements.
Apply lifecycle management practices to ensure proper archiving and disposal of records.
Introduce digital transformation and automation into records processes.
Format of the Course
Interactive lecture and discussion.
Hands-on use of classification and retention planning tools in public sector case examples.
Guided exercises focused on records inventory, lifecycle mapping, and compliance strategies.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Data Strategy is the long-term plan for how an organization will manage, use, and invest in data to drive its mission, improve public services, and ensure accountability.
This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in data strategy who shape or influence strategic decisions and wish to develop sustainable, mission-aligned data strategies across their organization or department.
By the end of this training, participants will be able to:
Define key elements of a comprehensive data strategy.
Align data initiatives with organizational objectives and public value.
Develop roadmaps for data governance, infrastructure, skills, and innovation.
Evaluate maturity and progress toward becoming a data-driven organization.
Format of the Course
Interactive lecture and discussion.
Hands-on development of strategy components and roadmaps.
Guided analysis of public sector case studies and strategic frameworks.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Data Policies and Standards is the structured approach to ensuring that government data is created, maintained, accessed, and used in ways that are consistent, secure, and aligned with legal and ethical guidelines.
This instructor-led, live training (online or onsite) is aimed at public sector professionals responsible for setting or applying data policies—regardless of technical background—who wish to standardize, document, and enforce data practices across departments or systems.
By the end of this training, participants will be able to:
Define and differentiate between data policies, standards, and procedures.
Draft and evaluate data governance policies aligned with national and international frameworks.
Promote consistent and high-quality data practices across teams and departments.
Build a foundation for compliance, audit readiness, and trustworthy data systems.
Format of the Course
Interactive lecture and discussion.
Hands-on drafting of sample policies and standards.
Guided evaluation of existing data workflows and controls.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Data Integrity and Availability is the discipline of ensuring that data remains accurate, complete, consistent, and accessible when needed, especially in high-trust public sector environments.
This instructor-led, live training (online or onsite) is aimed at public sector professionals responsible for managing or safeguarding data—regardless of their technical background—who wish to ensure the reliability, consistency, and availability of critical datasets and systems under their control.
By the end of this training, participants will be able to:
Define and differentiate the principles of integrity and availability in the data lifecycle.
Detect and prevent data corruption, inconsistency, or unauthorized alterations.
Design data environments that ensure high availability and business continuity.
Implement policies and controls that promote long-term data reliability.
Format of the Course
Interactive lecture and discussion.
Hands-on evaluation of data risks and failure points.
Guided exercises focused on policy development and incident prevention.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Data Ethics is the field concerned with responsible data collection, usage, and decision-making in ways that uphold human rights, privacy, transparency, and fairness.
This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or no prior training in data ethics who manage or govern data and wish to understand ethical risks, evaluate real-world dilemmas, and apply principles of responsible data use in alignment with institutional values and public trust.
By the end of this training, participants will be able to:
Define key concepts and frameworks in data ethics.
Identify ethical risks and trade-offs in data collection, analysis, and deployment.
Apply principles of transparency, consent, and fairness to real-world scenarios.
Integrate ethical review into governance or operational workflows.
Format of the Course
Interactive lecture and discussion.
Hands-on analysis of real-world data ethics cases.
Guided exercises focused on ethical evaluation and policy alignment.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
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