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Augmenting Decision Making via Interactive What-If Analysis

Summary: Defines four core functionalities for interactive what‑if exploration to expose functional relationships between driver attributes and KPIs, implemented in SYSTEM D. SYSTEM D enables rapid hypothesis testing in marketing‑mix, retention, and deal‑closing use cases and receives positive practitioner feedback with suggested UX refinements. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h69322d3650be2bb1
Venue
CIDR
Year
2022
Pagerank
4.9793485e-05
Overall Rank
11,822 | 20.52%
DOI
-

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Authors

BibTeX Citation

@inproceedings{gathani_cidr22,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '22},
        title = {{Augmenting Decision Making via Interactive What-If Analysis}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Gathani, Sneha and Hulsebos, Madelon and Gale, James and Haas, Peter J. and Demiralp, Çağatay},
        year = {2022}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,009 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.00012539827
3,063 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.6912904e-05
3,648 Davos: A System for Interactive Data-Driven Decision Making 2021 VLDB 7.1370661e-05
5,409 Data is Dead… Without What-If Models 2011 VLDB 6.1411964e-05
9,050 Stochastic Package Queries in Probabilistic Databases 2020 SIGMOD 5.2305429e-05
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