Oracle Siebel CRM vs. SAS Viya

As an end user, I would not recommend this solution for enterprise deployment. Lack of support for modern browsers, slow performance, and poor searchability - these things set Siebel CRM in the rear of the pack. There was no great mobile solution either, so that can be bothersome especially for road warriors like myself.

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SAS Advance Analytics is well suited for data that is visual. Data where you want to see multiple graphs and models are good for this software. However, if your data is more descriptive this may not be the best program. SAS is well suited for data where you need to make comparisons on the feasibility of two different programs. Data that can be compared is perfect for this software.

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• Great data model: the out of the box version comes with standard objects that support most of the industries business models: Finance, Communications, Utilities, Public Sector, Life Sciences to name a few.
• Ease of implementation: implementation is done by configuring standard objects or creating new objects; additional level of customization via script is also possible.
• Lots of resources available on the product
• Supported by Oracle one of the world leader in IT
• Multiple developers can configure and test concurrently in their own workspace and then merge the result in the main application.

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• SAS is can be used as query builder tool which can automate a lot of excel process.
• There are variety of statistical options available that tie up good visual analytics.
• There are inbuilt models available for different operations which doesn't require any coding and are easy to run.

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• Migrations between environments is one area that could be improved, with tools to compare and move data elements (source vs target).
• Easier ways to identify, through email or a web page, the health of the overall system (components, marketing campaigns, tasks, servers, etc).
• The UI seems to be improved with the newer versions of Siebel, but I believe it requires a lot of new features. It seems that other CRM solutions that are cloud-based are putting a lot of emphasis on the Usability and presentation, things where Siebel may need to catch up...

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• SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.
• SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.

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Not only does SAS become easier to use as the user gets more familiar with its capabilities, but the customer service is excellent. Any issues with SAS and their technical team is either contacting the user via email, chat, text, WebEx, or phone. They have power users that have years of experience with SAS there to help with any issue.

Oracle Siebel CRM is an older Sales CRM, so many of it's features aren't as current as ones used today. However, it has a smoother and easy-to-use UI. We're glad that we can still access Oracle Siebel CRM because it's easier to find older information that we can't easily find in our Salesforce Lightning CRM tool.

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If SAS Enterprise Guide is utilized any beginning user will be able to shorten the learning curve. This is allow the user a plethora of basic capabilities until they can utilize coding to expand their needs in manipulating and presenting data. SAS is also dedicated to expanding this environment so it is ever growing.

SAS probably has the most market saturation out of all of the analytics software worldwide. They are in every industry and they are knowledgable about every industry. They are always available to take questions, solve issues, and discuss a company's needs. A company that buys SAS software has a dedicated representative that is there for all of their needs.

Although nothing is perfect, SAS is almost there. The software can handle billions of rows of data without a glitch and runs at a quick pace regardless of what the user wants to perform. SAS products are made to handle data so performance is of their utmost important. The software is created to run things as efficiently as SAS software can to maximize performance.

We no longer have support for our Oracle Siebel CRM. When we did, the support was slow to get some things fixed, therefore, there was a lot of downtime. Of course, this slowed down our overall productivity and increased our overall frustration with the tool. However, it would be nice if we still had some support with it since we still do access it from time to time.

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SAS is generally known for good support that's one of the main reasons to justify the cost of having SAS licenses within our organization is knowing that customer support is just a quick phone call away. I've usually had good experiences with the SAS customer support team it's one of the ways in which the company stands out in my view.

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SAS has regional and national conferences that are dedicated to expanding users' knowledge of the software and showing them what changes and additions they are making to the software. There are user groups in most of the major cities that also provide multi-day seminars that focus on specific topics for education. If online training isn't the best way for the user, there is ample in-person training available.

There are online videos, live classes, and resource material which makes training very easy to access. However, nothing is circumstantial so applying your training can get tricky if the user is performing complex tasks. When purchasing software, SAS will also allocate education credits so the user(s) can access classes and material online to help expand their knowledge.

Ask as many questions you can before the install to understand the process. Since a third party does the installation your company is sort of a passanger and it is easy to get lost in the process. It also helps to have all users and IT support involved in the install to help increase the knowledge as to how SAS runs and what it needs to perform correctly.

We also connect to Oracle Business Intelligence, which is not even an option of the list of products above (that's always encouraging when products are missing from lists!) This connects to campaigns in Siebel along with users writing reports based on data from Siebel. I don't think OBIEE stacks up that great with other systems because it seems to be lacking in reports, and those who can make them have to be quite technical. Oracle Database I think stacks up because of how robust and speedy (at times) it can be

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SAS was the incumbent tool, and what the team knew. We did look into using Revolution Analytics enterprise version of R, but the learning curve on that caused us to stick with SAS. In my current position, I've opted for WPS over SAS. I can still leverage my SAS experience, but the price is about 15% of what SAS charges, with extra functionality, such as direct database access. I can supplement WPS with free software, such R for anything that it might be missing.

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It all depends on the type of SAS product the user has. Scaleability differs from product to product, and if the user has SAS Office Analytics the scaleability is quite robust. This software will satisfy the majority of the company's analytic needs for years to come. In addition, if SAS is not meeting the users needs the company can easily find SAS solutions that will.

• This has all my company needs for sales analytic. It has helped our call center and the sales portal become more lean and require less resources for their day-to-day.
• We use its research and direct email capabilities and use it to target specific groups of potential clients. We have seen an improvement of nearly 20%.
• We have clients who have used a few modules like bill summary, campaign management and customer information. Oracle Siebel CRM has helped them reap ROI within a year from going live.

• SAS is pretty expensive, so a company would need to take that into consideration before purchasing a license.
• A lot of companies are now starting to use SAS Advance Analytics, it is great for sharing data between departments.
• Presentations come out better when using SAS, and estimates are more precise to the confidence interval.

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