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Data Governance - Online Program

Learn how to create value through data governance

Data governance is about the convergence of data quality, data management, data policies, business process management, and risk management around the handling of data within an organization. Data governance can create great value for the entire organization as it generates more transparency, availability, and security in the decision-making process. To achieve this it is crucial to understand how the vast amounts of data available can be stored, managed, and protected properly.

In the program, you will focus on data governance and its importance in an organization, both from a theoretical and a practical perspective. You will gain insight into the role of data security, understand the threats and opportunities, and learn to protect data in the most effective way.

Practical-relevant content

Through real-life cases you will learn about effective strategies to organize data and implement suitable solutions. You will explore current trends and developments such as metadata and semantic data management from an enterprise perspective.

After having successfully completed the program, you will be able to assess the quality of data and be aware of any benefits and challenges. Understanding the strategic potential of data governance, you will be ready to apply a data governance framework and use data governance processes as a way to drive sustainable value for your company. Moreover, this program is also a solid base for any further education in digital transformation topics.

Data Governance
    • Schedule - Online Modules

      • Block 1: Foundations of Data Governance
        November 3 and 4, 2020
      • Block 2: Foundations of Data Security
        November 5, 9 and 12, 2020
      • Block 3: Data Governance from the Viewpoint of Public Administration
        November 10, 2020
      • Block 4: Trends in Data Governance: Enterprise Perspective
        November 16, 2020

      Time: 4:00 - 8:00 pm (CET) on teaching days

    • Target group

      Participants come from a wide range of areas and industries including:

      • Marketing, Consulting, Supply Chain Management, IT, Health Care, Finance
      • Top or mid-level managers, both from technical and non-technical areas
      • Managers who deal with data and/or analytics
      • Managers of data-driven projects, business analysts
      • IT executives and IT architects
      • CIOs, chief data officers, data scientists
      • Everyone who wants to learn and understand the importance of data governance and how to manage and organize data

      Participants should have at least 3 years of working experience and a good command of English (as this is the language of instruction).

    • Topics

      Block 1: Foundations of Data Governance

      • Drivers of Data Governance
      • Data as an Asset
      • Data Governance and Data Management
      • Data Quality and Risk
      • Data Governance Organization and Structures
      • Data Governance Frameworks
      • Data Governance Implementation

      Block 2: Foundations of Data Security

      • Introduction: Creating Awareness through Examples of Real-Life Security Incidents
      • Types of (Cyber) Attacks (e.g. Social Engineering, Phishing, Denial of Service, Web-Based Attacks)
      • Protection of Confidential Information
      • Basic Concepts of Cryptographic Methods and Applications
      • Basic Concepts of Access Control

      Block 3: Data Governance from the Viewpoint of Public Administration

      • Data Strategy – including Showcase: Data Excellence Strategy of the City of Vienna
      • Organizational and Technical Implementation
      • Data Governance Organization
      • Data Governance Framework
      • Data Governance Maturity Model
      • Benefits and Challenges

      Block 4: Trends in Data Governance: Enterprise Perspective

      • Data Governance in Enterprises
      • Challenges in Enterprise Data Management
      • Importance of Data Quality Management
      • Introduction to Metadata Management
      • What is Semantic Data Management?
      • What is a Knowledge Graph?
      • Applications and Use Cases based on Semantic AI
    • Certificate

      After completing the course, you will receive a certificate including course details from the WU Executive Academy.


Portrait of Andreas Blumauer

Andreas Blumauer

Founder and CEO | Semantic Web Company GmbH

- Corporate Semantic Web

- Semantic Technologies

- Knowledge Management

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Portrait of Stefan Koch

Stefan Koch

Vice-Rector and Professor | Institute for Business Informatics | Johannes Kepler University Linz | Austria

- IT management, strategy and governance in companies

- Business models and open innovation processes in the digital economy

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Portrait of Brigitte Lutz

Brigitte Lutz

Data Governance coordinator of the City of Vienna | Executive group for Organisation, Safety and Security | Process management & ICT strategy | Chief Executive Office of the City of Vienna

- Blockchain

- Open Government

- Open Data

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Portrait of Mark Strembeck

Mark Strembeck

Associate Professor | Institute for Information Systems and New Media | WU Vienna | Austria

- Network Analysis

- Data Science

- Security Engineering

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Upgrade MBA

Would you like to dive deeper into the subject of digitisation? Apply for the MBA Digital Transformation & Data Science and attend the program Data Governance and more in the part-time Master of Business Administration. You can also get credit for a continuing education program that has already been completed at the WU Executive Academy.

"Digi-Winner" Grant

Did you know that the "Wiener ArbeitnehmerInnen Förderungsfonds (Waff)" is subsidizing this program with the "Digi-Winner" grant of up to € 5,000? More information and conditions on the grant (in German).

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