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)
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Authors
- 1. Sneha Gathani
- 2. Madelon Hulsebos
- 3. James Gale
- 4. Peter J. Haas
- 5. Çağatay Demiralp
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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 |
|---|---|---|---|---|
| 1,158 | Simulation of Database-Valued Markov Chains Using SimSQL | 2013 | SIGMOD | 0.0001361064 |
| 2,716 | Davos: A System for Interactive Data-Driven Decision Making | 2021 | VLDB | 8.2429172e-05 |
| 2,923 | Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals | 2021 | SIGMOD | 7.8953538e-05 |
| 4,844 | Data is Dead… Without What-If Models | 2011 | VLDB | 5.8813803e-05 |
| 8,705 | Stochastic Package Queries in Probabilistic Databases | 2020 | SIGMOD | 4.4646588e-05 |
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