Frontline Systems Analytic Solver is an Excel add-on for performing data mining, and predictive analytics from within Microsoft Excel.
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Solver
Score 8.2 out of 10
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Solver is a cloud-based extended financial planning and analysis solution (xFP&A) that increases access to actionable insights beyond the finance department to accelerate intelligent decisions.
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Pricing
Analytic Solver
Solver
Editions & Modules
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Pricing Offerings
Analytic Solver
Solver
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Solver has not provided pricing information for this product or service. This is common practice for software sellers and service providers. Contact Solver to obtain current pricing.
Based on my limited experience and use, and therefore limited global knowledge of the software, I would recommend it especially if the data that will be used as inputs to the model has previously worked on a spreadsheet such as Excel. I would also recommend it to analyze problems of medium and small size. Given the experience I have had when I have used it with large problems, there have been noticeable decreases in the speed of response (which are not associated with the size of the system of equations involved in the calculation). Excellent for processing linear programming models.
We have multiple departments where they use different sources and application to reports. Solver provided us with this solution in forms of Web portal reporting, which can be accessed across the Whole company, which reduces the number of reports significantly and uniformity. One reporting application through a single source. Our budgeting process is unique last year we had many account executives shuffled, which made very complex for us to reassign accounts and budget for their sales. with complex Budgeting templates, it was not easy anyway. We had to rework our template through 4 revisions
On the few occasions when I have used it to deal with problems of optimization of relatively large parameters (with a large number of restrictions and decision variables), the program has been slower, not substantially but slower, than programs such as the WinQsb, even when the latter runs on 32-bit machines and not 64. That has caught my attention, even though it is not a real problem for the uses I give to the program.
Given my partial function as a university professor, it has been much more effective and practical to use other software, due to the limited options that the educational license associated with the software has.
We believe in building the models in Excel. A limitation with Excel is that Excel Solver can not take more than 200 decision variables with multiple constraints. It is cheap in terms of license and maintenance fees against other softwares which are available in the market.
- It has allowed finding ways to optimize (minimizing costs or times) the field processes involved in various projects.
It has even allowed, in specific cases where it was used for that purpose, to optimize the allocation of resources (people) to work in different jobs that present weekly variations of the activity that these people must perform.
It has allowed the sensitivity analysis of projects to changes in the decision variables related to them, which, and in very dynamic and changing environments, resulted in substantial decreases in money losses.
