DigBD 2021: 1st Workshop on Digitization in the Flux of Big Data Scenarios Hannover, Germany, June 15-17, 2021 |
Conference website | https://bisconf.org/2021/digbd/ |
Submission link | https://easychair.org/conferences/?conf=digbd2021 |
Submission deadline | April 30, 2021 |
Evoked by recent trends, such as big data, data science or cloud computing, the digitization of organizations necessitates new approaches for the planning and engineering of IS in today’s data-driven world. In many cases, sophisticated approaches are required to overcome the data-intensive nature of such endeavors. At this point, established technologies, as they have been used for many years, are reaching their limits. In the flux of digitization novel and innovative technologies and concepts, such as automation, cloudification, continuous integration, micro services, model-driven engineering or decision support systems appear to be promising “enablers” to meet the current demands. To overcome their realization shortcomings and to create competitive advantages in data-intensive scenarios, a plethora of facets must be handled. Hence, in this workshop, we welcome a variety of research approaches including, but not limited to, theoretical articles, reviews and use case studies that are related to the generation of competitive advantages through big data as well as the use of innovative technologies for planning, engineering, deploying, testing, benchmarking and operating data-intensive systems, with the aim of facilitating their dissemination and increasing their effectiveness.
List of Topics
- Big Data and the Influence on Digitization
- Methods, Frameworks, Techniques and Tools to Facilitate Big Data Endeavors and Increase Their Successfulness
- Approaches to Obtain Competitive Advantages Using Big Data Technologies
- Planning and Design of Big Data Applications
- Implementation of Big Data Applications
- Deployment of Big Data Applications
- Quality Assurance of Big Data Applications
- Operation of Big Data Applications
- Data Collection and Data Quality Assessment
- Data Governance
- ...
Chairs
- Daniel Staegemann, Otto-von-Guericke University Magdeburg
- Matthias Volk, Otto-von-Guericke University Magdeburg
- Naoum Jamous, Otto-von-Guericke University Magdeburg
Committee
- Mohammad Abdallah, Al-Zaytoonah University of Jordan
- Darlan Arruda, SSENSE
- Samuel Fosso Wamba, Toulouse Business School
- Bernhard Heiden, FH Kärnten
- Johannes Hintsch, T-Systems International GmbH
- Naoum Jamous, Otto-von-Guericke University Magdeburg
- Matthias Pohl, Otto-von-Guericke University Magdeburg
- Hosseinzadeh Hariri Reihaneh, Oakland University
- Zaher Al-Sai, Universiti Sains Malaysia
- Daniel Staegemann, Otto-von-Guericke University Magdeburg
- Marcus Thiel, Otto-von-Guericke University Magdeburg
- Matthias Volk, Otto-von-Guericke University Magdeburg
To be extended…
Contact
All questions about submissions should be emailed to daniel.staegemann@ovgu.de