SAP Integration Suite

Not yet used.

Their Monitoring Console gives clear metrics but they don't store data more than 30 days which is a disadvantage.

Yes, this is something we are still working with the customer where they can process a ML algorithm and then connect the result with SAP for cash application.

this helps to understand trends for demand planning, for example

ai technology b=very good transformation

We did not have used any built-in predictive analytics or machine learning capabilitites

SAP Integration Suite is quick and fast when translating data into insight.

I feel that SAP Integration Suite is very well to translate data into insight using built-in predictive analytics and machine learning capabilities.

Enhanced Decision-Making:SAP Integration Suite's built-in predictive analytics and machine learning capabilities can help organizations analyze historical data to make informed predictions about future trends. Optimized Operations:Predictive analytics and machine learning can be applied to optimize operational processes. For example, in supply chain management, SAP Integration Suite might use machine learning algorithms to forecast demand, helping organizations streamline inventory levels, reduce costs, and improve overall efficiency.

we are using it for integrating tax authorities

Have not used it.

We are not using this capabilities as of today

We have not used these yet

Making it more competible and easier to get funding for internal projects.

This capabilities have a great impact on decisions making about the future of the organization.

We have not used the predictive analytics, but I would love to use this in the future. We have many business cases in which this will be very useful for our organization. Predictive analytics has been the talk of the town and I am sure it will benefit us a lot.

Our organization is prioritizing data driven decision making. The use of predict analytics is most definitely something we intend to leverage. It, unfortunately, is a weakness received today by our Boomi middleware. And by weakness I mean we simply do not have. Now having integration suite, our executive team has substantially more visibility on these integrations. For example, an integration exists between our organization and a third party vendor that supports company surveys. Integration suite allows us to not only get our executives the survey data but also provide them predictive analytics so we can better prepare for employee engagement and retention, talent management, etc.

We are working for a large insurance client, and, as we all know, insurance is the one where we need more insights for the user on the data and the products. We also implement fraud detection for claim activities where machine learning capabilities help much more. Consider the situation where if we write code for all the above functionalities, it would take time. So we implemented those analytics and machine learning capabilities, which helped us to reduce the time and effort.

We're not there yet, but we've seen the product suggest the appropriate integration method depending on cases. Built-in machine learning causes this.

It helps us make better decisions based on all the data obtained.

We're not into that phase yet but a few things we have seen where the product proposes the best integration technique based on the scenarios. This comes out of the Machine learning feature which is in built.

I did not know this integration freature.

N/A

Not yet in use but we do plan to use it in the near future.

Do not use it