Data Lineage Workshop
CDXP Certification
All you need to know to get a comprehensive and effective preparation for the new CDXP certification in Data Excellence.
Understand, operationalize and manage data protection (GDPR)
How can we implement the requirements of the General Data Protection Regulation in the company more easily and more controllably? How can data governance actively contribute to compliance with GDPR requirements? Which rules, tools and technologies support the visibility and traceability of personal data in operations?
Information Security Management for Data Professionals (according to ISO 27000)
What does information security management encompass? How can it be anchored, controlled and monitored in operational data governance? Which legal requirements and standards support the implementation?
Data Modeling Leadership Boot Camp
Data modeling is experiencing a renaissance and must be newly integrated in digital and data-driven teams. Here we learn the basics, background and procedures of data modeling in classic and modern environments and understand the requirements of how these can be maintained, updated and optimized in distributed teams.
Data Architecture & Design Modeling
What is a data architecture and how can it provide more order and control over data in the company as well as be actively included in business and strategic planning?
Data License Management
You buy identical data several times, even those that are available for free, and then you don’t know who uses these data companies for what purpose and who holds the contract? Time to think about data license management.
Data Monetization. Forms, Strategies and Legal Options
Learn more about the possibilities of economic exploitation of data as a property right. A 360 degree look at data ownership rights, valuation, forms of exploitation, licensing, as well as possibilities of accounting for data and consequences in international business & tax law.
Data Quality Boot Camp Workshop
Things are lively in our Data Quality Experience Lab. You will experience and learn the technical side of data quality management. This includes methods for planning, evaluating and implementing data quality initiatives as well as the contribution of technical tools such as data catalogs, business glossaries, data quality testers.
Data Quality Management
What is data quality management and how can it be set up, introduced and controlled in a company? Learn the basics and key steps required to plan and implement data quality initiatives.