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CDQ Academy - Module 3: Data Architecture, Life-Cycle and Applications
June 13-15, 2023
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Latest uploaded documents
| Title | Type | Upload date | |
|---|---|---|---|
| DQ Tool Work Report_v1.0 | CDQ presentation | 18 March 2024 | DQ Tool Work Report v1.0.pdf |
| (09) CC CDQ WS 84 Co-Innovation_AI_for_Data_Management_Konrad Schulte_Christine Legner_UNIL | CDQ presentation | 13 March 2024 | (09) CC CDQ WS 84 Co-Innovation AI for Data Management Konrad Schulte Christine Legner UNIL.pdf |
| CC CDQ_Research Briefing - Data Literacy | E-book & White paper | 12 March 2024 | CC CDQ Research Briefing Data Literacy.pdf |
| (05) CC CDQ WS 84 BoS AI_Governance_Konrad Schulte_Christine Legner_Hippolyte Lefebvre_UNIL | Break-out Session | 12 March 2024 | (05) CC CDQ WS 84 BoS AI Governance Konrad Schulte Christine Legner Hippolyte Lefebvre UNIL.pdf |
| (06) CC CDQ WS 84 BoS Data Lifecycle_Markus Eurich_UNIL | Break-out session | 11 March 2024 | (06) CC CDQ WS 84 BoS Data Lifecycle Markus Eurich UNIL.pdf |
Latest workshop
| Title | Upload date | |
|---|---|---|
| (01) CC CDQ WS 80 Introduction_Christine Legner_UNIL | 8 February 2023 | (01) CC CDQ WS 80 Introduction Christine Legner UNIL.pdf |
Webinars & CC-Videos
Co-Innovation
Due to the increasing amount of data, organizations are faced with the need to deliver novel analytics to meet data consumers’ business requirements. To do so, complex data pipelines are being built and data is being prepared and analyzed in a siloed manner – leading to poor data quality, high cost and slow analytics delivery. In order to deal with these challenges, data products can be developed to facilitate the reuse of data by bringing together data sources into a singular view, empowering data consumers through data sharing, streamlining governance by clarifying ownership and reducing analytics’ time-to-market. Furthermore, data products can lay foundation to multiple enterprise-level objectives such as data monetization and data democratization as well as play a key role in implementing new concepts such as data mesh.
Data Management for Sustainability
Increasing emphasis on sustainability alongside with stricter regulations and shifting consumer preferences put mounting pressure on enterprises and their largely ad-hoc sustainability activities. This co-innovations group’s research activities focus on developing a scalable approach to address the increasing number of sustainability scenarios. For this goal, the group extensively works on identifying and documenting typical sustainability scenarios, understanding the underlying data requirements, formulating common definitions for sustainability-related data objects, and developing the necessary data management capabilities.
As part of this focus group, research activities focus on understanding how companies can enable more employees to access and work with data i.e., to democratize data. The activities notably focus on understanding what are the key role families in the enterprise and their necessary competences, also called data literacy. As means for fostering collaboration and knowledge sharing, we also investigate how these families interact on data catalogs and through communities.