SAP Business Technology Platform vs. SAP Data Intelligence

If you want to use a well-designed SAP technology to shift into the cloud, you will be more than satisfied with the BTP services overall. There are some improvements for beginners to help them get a better overview of what to do and how to start with their account. My recommendation is to take a foundation training course from the SAP learning hub to prepare for the first steps.

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If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.

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• It is very easy to use.
• All the documentation around it is geared towards the enterprise use case, unlike some other hyperscalers' platforms.
• The SAP Business Technology Platform is very good because it's got the SAP customer and their business processes in mind. Probably my favorite thing about it is how easy it is to get up and running with a new use case and how well it natively connects to an SAP solution.

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• It integrates well with our current ecosystem of SAP products, like HANA.
• It provides end-to-end machine learning operations, with tools for the complete model life cycle.
• It has a simple user interface for novice users, with complex tools also available for power users.
• It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
• It can run in the cloud, no on-premise software management needed.
• Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
• SAP is very actively developing and improving it.

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• The Automation Integration service has some outdated workflows
• New services should be available as entitlements as soon as they are released for a particular region without having to buy them from SAP for zero dollars
• Any subaccount should be able to change the IAS tenant. Currently, if you set it up for a particular IAS, you cannot change to another tenant and are required to recreate the services in a new subaccount.

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• Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.

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Seamless integration with external system and dashboard to monitor the data flow and analysis are very essential for the business. The way the product is designed and modelled lead to minimum business disruptions. Adopting to the new and modern technology was easy. Keeping the central system as clean and adopting project bases development are advantages.

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Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence

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Okay, so the content that we have built on the platform is limited to specific testing on the iFlows within integration suite. The visualization layer is nice to use and helps with the design elements, however with developers that are more used to markup languages, it doesn't have the same CLI type feel when you want it. Perhaps the majority of users are that deep, but other platforms have a better CLI type developer experience.

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I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.

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Services are generally available

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The biggest problem we ran into was communication between SAP Business Technology Platform and onsite resources. Unfortunately our SAP Business Technology Platform and Cloud systems are under different customer numbers. I constantly had to open tickets under each customer number because I was unsure of where the issue lied. And having to create a dummy ticket for our ECC systems to open the ECC connections for another ticket under the Cloud customer is a pain.

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Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,

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Training material in Developers Community or from Learning hub are really good... also most of the time we route through Discovery center... so materials provided by SAP is really good.

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Having a full cloud native environment for devlopment of microservices and digitals solutions while having standardized access to our core data on SAP via cloud connector is one of the main benefits of using BTP over others hypervisors. BTP is the standard hyperscaler as soon as something relies on data from SAP systems in our company now

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SAP Concur allows our staff to book, reimburse and remain spend audit compliant. Our Concur system takes feed from Workday and interacts with Credit card vendor. It also makes posting to Accounting and does clearing. SAP Business Technology Platform helped in establishing connection with all these different tools in real time. It helps in getting paid to the card service provider through our Bank through interface, which is built on SAP Business Technology Platform.

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One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.

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It's scalable

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• As we are on public cloud, we haven't had many break issues due to being standardized.
• Project management and expectations working with developers has been overwhelmingly positive and improved.
• Improved connectivity with us migrating to other SAP products and easier/more mainstream integration methods.

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• Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
• Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
• It runs multiple ML models which enhances flexibility when managing data.

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