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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
454
Venue
CIDR
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,513 | 21.02%
DOI
-

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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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