CaseWare IDEA vs. SAS Enterprise Miner

One example of specific scenario in [CaseWare] IDEA is the ability to run samples separately and then based off of the results, compare and contrast the values recorded and easily discern if there are any variables or discrepancies within the data itself. Also, we can test journal entries with certain parameters to check the audit for any issues that may arise pertaining to the criteria. By testing, we are able to make sure the data is accurate and sufficient.

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SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.

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• Easy to understand and easy to use.
• Can use on large quantities of data and quickly analyze them.
• Uses logic that can be followed if one is an auditor. I, for example, could understand the logic in a number of samples, i.e how the number of samples thrown changes when risk changes from low to moderate in proportion taking in consideration the materiality.
• Other audit firms are using 2 software for the process that IDEA alone can do. So IDEA has a definite advantage here.
• Customizable by the company.

• Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
• The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
• The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
• Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.

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• Bit of a learning curve for the advanced features as a beginner.

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• SAS is not as user friendly as other stats software.

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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

I would rate it a 9 because I never really needed support on this but if I did, there was the necessary support given promptly.

SAS' customer support used to be non-existent many years ago. Today, contacting SAS customer support is great. They are responsible, knowledgable, and seem to have an interest in getting the results right the first time. With that said, Enterprise Miner's online support is weak, probably because the user base is much smaller than other tools.

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I have used Microstart and would definitely vote for IDEA because IDEA combines what Microstart does with the help of one/more softwares. Where Microstart just gives a number of samples, IDEA selects the number of samples based on materiality, risk, and other factors. It selects those samples from the population leaving out line items that are invalid/ zero. I would prefer using IDEA any day.

SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.

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• We were able to save time by over 200 billable hours over our last busy season cycle
• We saved roughly 12% on costs compared to the last program we used.

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• In our organization, users were using SAS already so the learning curve was really low. Within a few weeks after the implementation, the users were already delivering models developed with SAS Enterprise Miner. It is difficult to talk about ROI as models were already being developed before. It was mostly a change of technology and it was a smooth transition.
• Going with Enterprise Miner came with migration from desktop use of SAS to a server use of SAS. This created a new role of SAS administrator. This was obviously a cost but as the use of SAS increased greatly, it was expected.
• From a methodology standpoint, Enterprise Miner helped greatly in the documentation of the model development which was a requirement in a few groups such as the risk groups. Having a visual "GUI-like" approach to development, the flowchart or diagram of the project in Miner was able to give users a good understanding of the approach the analyst took to develop the model.

Incentivized

Independently Invited by TrustRadius

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