Development of Predictive and Prescriptive Analytical Models Using Customer, Revenue, and Usage Data
公开 DepositedIn collaboration with the WPI MQP team, SaaSWorks is pursuing the development of a predictive model that integrates client data into classifications that enable the identification of key performance indicators correlated with a customer's lifetime value. The model pinpoints which customers display patterns indicative of a high churn risk cancellation and distinguishes them from those periodically churning and reactivating, re-purchasing or re-subscribing. These analytics will be productized into a configurable product feature set that drives strategic decisions within SaaSWorks clients’ companies and assists in the automatic discovery of previously unknown key performance indicators.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Subject
- Publisher
- Identifier
- E-project-121422-101616
- 82806
- 关键词
- Advisor
- Year
- 2022
- Sponsor
- UN Sustainable Development Goals
- Date created
- 2022-12-14
- Resource type
- Major
- Source
- E-project-121422-101616
- Rights statement
- 最新修改
- 2023-01-13
关系
- 属于 Collection:
项目
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