SAP Sales Cloud vs. SAS Visual Analytics

SAP Sales CLoud is not useful in cases where it needs zero downtime upgrades or new monthly releases or micro frontends.Although it is great for any cloud deployments, provides a unified view for the customers. Helps in AI insights recommendations and analytics. It is also optimised for mobile . It is robust and a highly scalable cloud plaform

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

• Help sales teams decide based on relevant data
• Provide a framework to guide sales teams on activities such as status updates, customer success, sales qualification, etc
• Reduce manual work by predictive analysis, that is, by understanding when a template can be helpful, updating a manager on a finished task, etc

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

• One area of concern is the many data silos that are present within SAP sales cloud
• While creating filters for accessing sales lead reports, the accuracy is missing sometimes.
• The product is quite vast and a lot more learning material and knowledge base documents are required.

• 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

SAP sales enables organizations to manage their sales activities, such as inquiries, quotations, orders, deliveries, billing, and payments. Also integrates with other SAP modules, such as finance, logistics, and marketing, to provide a comprehensive solution for managing the entire sales cycle. thats makes SAP a good choice

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.

In short, SAP CRM is a complete service that will help improve marketing strategy and productivity. It covers various topics, from big data analytics to resource management and housing sales data. SAP CRM has a long list of features and can do them all.

Incentivized

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

Product was mostly available. A couple accessibility issues did exist when sending API calls, and there was either no response, or a delayed response.

SAP's customer service is quick and efficient, with a response time of fewer than some minutes. In either case, you'll get instant help from the vendor or online forums. In addition, the vendor provides excellent global support for this tool. Like Salesforce, SugarCRM, etc., it's probably fine as a standalone CRM option.

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.

Training was mostly completed over a couple conference calls, and reading the API documentation. Our developers were able to implement quickly after reading the documentation.

The API documentation is good. Development team was able to implement in under two weeks, and normally we were told it was a 12-14 week process.

We went with SAP Sales Cloud over Oracle Sales Cloud because it just clicks better with our way of doing things. SAP is like the superhero of sales software – it plays super well with all our other systems, grows with us as we get bigger, and gives us really smart insights into our sales. Plus, it's easy for our team to use, and we can tweak it to fit exactly how we work. While Oracle is good, SAP is like the perfect fit for our sales superhero team.

Incentivized

SAS Business Intelligence is not the cream of the crop for business intelligence applications, but it is not far behind. The software is generally easier to apply than most other business intelligence software. Additionally, SAS Business Intelligence runs smoothly in the background when making real-time updates. With that said, the software is not as efficient of many of the other business intelligence software applications that have been on the market for longer than this one.

Incentivized

As a cloud-based solution, SAP Sales Cloud provides the flexibility to scale resources based on demand. Organizations can easily adjust their usage and storage requirements without the need for significant infrastructure changes. SAP Sales Cloud is designed to integrate seamlessly with other SAP solutions, such as ERP systems and marketing automation tools. This integration ensures a cohesive ecosystem across various business functions, contributing to overall scalability.

Incentivized

• Positive Impact: SAP Sales Cloud can lead to increased sales efficiency by automating manual tasks, streamlining workflows, and providing real-time access to customer data. This can result in sales teams spending more time on revenue-generating activities.
• Negative Impact: The initial costs associated with implementing SAP Sales Cloud, including licensing, customization, and training, can be significant. If not managed properly, this may impact the short-term financials and the expected payback period.
• Negative Impact: The comprehensive features of SAP Sales Cloud might result in a steeper learning curve for users. If not addressed through adequate training and change management, this complexity can temporarily impact productivity.

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