Invited by the Vendor
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
Cube | Score8.9 out of 10 | N/A | Cube is a financial planning & analysis (FP&A) platform that aims to enable finance teams to be more strategic and positively contribute to company growth activities by spending less time on manual, repetitive task, from Cube Planning headquartered in New York. | N/A |
DataRails | Score9.8 out of 10 | N/A | DataRails is an FP&A solution that automatically consolidates data from all existing organizational systems (ERP, GL, CRM, and HR data). It is designed so users can keep working on Excel while benefiting from automated data transformations. The vendor states users will enjoy a 360-degree view of consolidated data for easy reporting, simple visuals, and in-depth analytics. With DataRails, users can perform advanced investigations into data to extract actionable, attainable insights. | N/A |
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| Editions & Modules |
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| Entry-level Setup Fee | Required | Required | ||||||||||||||
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| Cube | DataRails | |
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| Considered Both Products | No answer on this topic | |
| Key User Insights | ||
| Would buy again | ||
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| Delivers good value for the price | ||
No answers on this topic | No answers on this topic | |
| Happy with the feature set | ||
No answers on this topic | No answers on this topic | |
| Lived up to sales and marketing promises | ||
No answers on this topic | No answers on this topic | |
| Implementation went as expected | ||
No answers on this topic | No answers on this topic | |
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| BI Standard Reporting |
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| Report Output and Scheduling |
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| Data Discovery and Visualization |
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| Mobile Capabilities |
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| Budgeting, Planning, and Forecasting |
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| Consolidation and Close |
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| Financial Reporting and Compliance |
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| Analytics and Reporting |
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| Integration |
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| Cube | DataRails | |
|---|---|---|
| Likelihood to Recommend | 9.1 | - |