Data Management Research

Innovative data management solutions concepts, methods and tools based on academic research

The research outcomes of the Competence Center Corporate Data Quality (CC CDQ) are the result of co-innovation by research institutions and companies. Typical research results are e.g. reference models, architectures, methods or case studies which can be directly implemented by the partner companies of the CC CDQ community to improve their data management in everyday practice. A key result of CC CDQ research is the Data Excellence Model, which provides practitioners with support and guidance in the implementation of data management.

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The current research activities extend the established CC CDQ data management concepts to address digitalization, big data and advanced analytics as well as regulatory compliance:

Current topics from the area of Data Management Research

Here you will find a selection of our current research and best practice topics, which we develop and advance together with our members.

CDQ Data Excellence Model (DXM)

The Data Excellence Model offers support and guidance for practitioners in the implementation of data management by defining major design areas, while at the same time supporting the transformation into a digital and data-driven company. The CDQ Data Excellence Model

Managing Big Data and Analytics

Successful management of Big Data and Analytics requires scalable data onboarding and analytics delivery processes with little human intervention but strong governance. Managing Big Data & Analytics

Data Management for Data Protection (GDPR)

The CC CDQ research team provides a data-centric view on data protection regulatory requirements throughout the data lifecycle. Data Management for Data Protection

Data Catalog

The Competence Center Corporate Data Quality (CC CDQ), in collaboration with researchers from Fraunhofer ISST and many data management experts, developed a data catalog reference model and a market study. Data Catalog Reference Model & Market Study

Data Strategy (Case Study)

Data is at the core of PMI’s business transformation. The case study report outlines how PMI established an Enterprise Analytics & Data (EAD) function based on two major pillars (Data Governance and Data Science). Data strategy pursuing offense and defense

Data Valuation

How much is your company’s data worth? Determining the economic value of data is a prerequisite for effectively managing data - and a very challenging task. This topic has been in the focus of the CC CDQ’s research activities for some years now. Data Valuation

Open Data App Store for Business

The Competence Center Corporate Data Quality (CC CDQ), together with the University of Lausanne, launched a project to provide an "Open Data App Store" that supports businesses in finding, integrating and using open data. Open Data App Store

Machine Learning for Improving Data Quality

Increased data volumes put companies under pressure to systematically manage and control their data assets. Learn how Artificial Intelligence (AI) and Machine Learning (ML) techniques can support and improve your data quality. Using Machine Learning for Improving Data Quality

Our Awards

With our annual awards, we honor outstanding achievements in the field of data and data quality management. While the Young Talent Award is aimed at students from universities in Germany, Switzerland, Austria, or Liechtenstein, the Good Practice Award is open to all companies that are interested in improvements in the field of data management.

The judging juries are made up of top-class data management experts from industry and science.

Young Talent Award

The CDQ Young Talent Award acknowledges a Master/Bachelor thesis or term paper of outstanding quality advancing the state of the art in corporate data management. Join the competition! CDQ Young Talent Award

Good Practice Award

The CDQ Good Practice Award acknowledges outstanding, innovative projects in the field of data management. The practices submitted are evaluated by an international jury of data management experts and by the member organizations of the CC CDQ. CDQ Good Practice Award
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