Davos: A System for Interactive Data-Driven Decision Making
Summary: Davos is Einblick’s backend for interactive prescriptive analytics, combining progressive computation, approximate query processing, and sampling while supporting user-defined operations. Its multi-tenant optimizations enable collaborative, accessible data-driven decision making. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zeyuan Shang (Einblick Analytics)
- 2. Emanuel Zgraggen (Einblick Analytics)
- 3. Benedetto Buratti (Einblick Analytics)
- 4. Philipp Eichmann (Einblick Analytics)
- 5. Navid Karimeddiny (Einblick Analytics)
- 6. Charlie Meyer (Einblick Analytics)
- 7. Wesley Runnels (Einblick Analytics)
- 8. Tim Kraska (Einblick Analytics; Massachusetts Institute of Technology)
BibTeX Citation
@article{shang_vldb21,
title = {{Davos: A System for Interactive Data-Driven Decision Making}},
author = {Shang, Zeyuan and Zgraggen, Emanuel and Buratti, Benedetto and Eichmann, Philipp and Karimeddiny, Navid and Meyer, Charlie and Runnels, Wesley and Kraska, Tim},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2893--2905},
doi = {10.14778/3476311.3476370},
url = {https://doi.org/10.14778/3476311.3476370},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,066 | ML-Asset Management: Curation, Discovery, and Utilization | 2025 | VLDB | 5.093636e-05 |
| 11,240 | VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System | 2024 | VLDB | 5.093636e-05 |
| 11,471 | Building a Collaborative Data Analytics System: Opportunities and Challenges | 2023 | VLDB | 5.093636e-05 |
| 11,513 | Augmenting Decision Making via Interactive What-If Analysis | 2022 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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