IBM Operational Decision Manager vs. SAS Visual Analytics

IBM Operational Decision Manager can be used to manage complex business processes with less use of IT infrastructure and more use of centralized decision making. Decision-making depends on a logical framework and the creation of commands for better futuristic decisions with less time consumption and more precision and accuracy. IBM's Operational decision manager application is well suited for such scenarios where complex processes have to be streamlined.

Incentivized

I was in a meeting with the client and there I have to show them some analytic data to them. But I was confused about how I will manage to show big data to clients with accuracy. But then the SAS Visual Analytics software helps me in presenting accurate data at the moment and it was very presentable and through that, I got the deal for that business.

Incentivized

• Excellent stability and performance, as well as the possibility to deploy more quickly.
• Simple but effective web-based user interface that enables us to make direct updates to our policies or rules.
• Effective rule Execution Server, which allows us to assess the rules and their performance
• After the rules are delivered, business users can make changes and keep them up to date without having to know a lot about technology.

Incentivized

• Provides the flexibility to the end user to slice and dice the data.
• Anyone can make predictive models with the help of in-built algorithms without the need to write a single line of code or knowledge of what's under the hood of algorithms.
• The feature to simply ask a question related to data and getting a response in form of text, chart or graph is amazing.

Incentivized

• Compatibility with third party software.
• Use interface can be simplified.
• Better Error handling framework.

Incentivized

• SAS is relatively expensive when compared to other BI tools and requires a large amount of upfront fee which becomes an issue for smaller organizations.
• UI for the dashboards looks a little date in comparison to competitors like Tableau and Microstrategy.
• Integration with other open source software like Python needs to be built in.

Incentivized

SAS really is the cutting edge in Business Intelligence. That is all they do! They are constantly coming out with new products, product upgrades, and their tech support is second to none. In addition, their support of Education has made our ability to acquire their product possible.

SAS BI is good for creating reports and dashboards and then sharing it with the users. It also has ability to manage access to the reports and dashboards but somehow with most of the world moving to open source languages R, Python and Julia, SAS BI feels to be archaic in terms of feature set and integrations it allow[s]. Also, comparing it with other Business Intelligence tools like Tableau and Microsoft BI, the functionality of SAS BI is very limited and doesn't justify the pricing.

Incentivized

When you call tech support, you are immediately routed to a person who can answer your question. Often they can answer on the spot. However, if they cannot, you are given a track number and then followed up with. There have been times when I have had multiple track numbers open and they will actually TRACK YOU DOWN to ensure that your problem has been resolved. Issues do not fall into black holes with SAS. They are also willing to do a WebEx with you to diagnose the problem by seeing your environment, which is always helpful.

Ease of use Ease of Administration

Incentivized

I have used Crystal Reports, Jaspersoft and SQL Server Reporting Services (SSRS). I would recommended Business Intelligence over SSRS and Crystal Reports. SSRS is very SQL-centric and Crystal Reports is more of an end-user tool. I would recommend Jaspersoft over Business Intelligence for developing a seamless web-based reporting interface but I highly recommend Business Intelligence for end-user ad-hoc reporting.

Incentivized

• It has a positive impact as it provides a great way to define business rules, execute them, update them, manage different versions of rules.
• Depending on the complexity of the applications, you can have thousands of rules.
• It provides a nice way to test the rules, run simulations with different scenarios, different scales of requests and verify the decisions, performance, etc., and that helps a lot.
• Since the decisions can be exposed through REST interface, it makes it very convenient to integrate with different applications, applications using different technologies.
• The Business console makes it easy for business users to be able to define, modify rules and not have to depend on IT to do a lot of that work. This helps in bringing the time to change and use the rules to be very short as well as lets IT do more IT related tasks and provide better value to the organization.

Incentivized

• SAS Visual Analytics licensing cost should be reduced to enable users to use it in mass scale.
• More statistical and mathematical equations and theories should be converted into SAS functions for reusing.
• Because of enriched ETL and reporting capabilities SAS Visual Analytics is most preferred by business users.

Incentivized