Anaplan vs SAS Advanced Analytics

• Allows the business to link different planning streams into one place
• Gives users a single source to view data, no more comparing offline templates in excel
• Intuitive new UX that allows us to be more customizable when tailoring to needs of end-users

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• Complex Survey Analysis- SAS is a great resource if you need to analyze complex survey data. One can easily write code for this by inserting (survey) in front of the procedure with the weight, cluster, and strata variables. (ex: surveyfreq)
• Modeling/ Graphing- SAS creates clean and easy to understand graphs and models which take visual data to the next level.
• Support- There is a large SAS Advanced analytics online support in place. It is easy to find help on many procedures that you will use in this software.

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• Enablement -- Anaplan should invest more in both its training capability and training content. Anaplan is not the most difficult tool to learn, but having more foundation in this area would make the ramp-up process significantly easier
• Storage -- Anaplan is not a data warehouse. This is understandable given data warehousing is not their primary value proposition, but many times we run close to the storage limits of Anaplan, and it would be great if Anaplan had different storage size options for its workspaces.
• User Interface -- Anaplan's user interface could be streamlined and improved to become more intuitive and accommodate more shortcut keys.

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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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• Anaplan has been good to plan future fiscal years, by doing the planning in here and seeing the financial impact certain variables can produce it is easier to make decisions within the company such as hiring, eliminating certain costs etc., to achieve the financial results as set in the company goals.
• Dashboards have been really helpful for the financial executives as very specific data can be analysed and presented in the dashboards focused to specific financial teams, so it is easier to see the actual results and forecasts.
• On the negative side, since Anaplan is a complex tool to handle, it is better to have a dedicated resource or resources to the handling in Anplan. Regular business analysts could not handle their regular tasks and doing complex configurations in Anaplan without the help of well trained Anaplan resources, extra dedicated resources are needed to work with Anaplan.

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• SAS Advanced Analytics is not the cheapest software on the market. The overall cost was weighed against free, open-source software tools. The overall return, I think, was quite positive because SAS Advanced Analytics saves enormous amounts of time compared to the open-source software tools.
• At first, adopting SAS Advanced Analytics was a negative return because it took time for individuals to change their analytics habits and adjust to superior tools available at their discretion.
• SAS Advanced Analytics has replaced the need to hire less expensive R or Python programmers. So, although the software requires an initial expensive upfront investment, the ease of use makes it so that other areas of expenditure save money.

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