Salesforce Lightning Components & Developer Experience vs. SAP Data Intelligence

If you have a large customer base and a large amount of data on each of your customers, it is really strong in creating personalized content that your salespeople can use in their pitch meetings—and then setting up workflows for automated for lifecycle journey creations to automatically go out to customers.

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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 has a very smooth integration with Salesforce and third-party tools, ensuring easy tracking of policies and assets.
• It also has impressive security features like used-based permissions and encrypted data.
• Everything can be managed from a centralized place which saves a lot of time.

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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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• It takes a while before it recognizes bounced emails.
• We get so many notifications from a single action. Not sure if this can be modified in the settings though.
• Error messages are sometimes unclear which makes it hard for us to identify the problem.

• 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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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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It's very good, but it's still living in a little bit in an older design aspect, but I think a lot of it is about to come out, just hasn't quite gotten there yet. Still a little clunky from a you have to know it to know it or you know it to use it. It takes a little bit of training to get into it. It's not quite the, anybody can come in and start using it immediately, type feel.

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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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I am not an administrator so there may very well be outstanding Support and I am just not privy to it. On a user level it's hard to gauge the effectiveness and responsiveness of Support because nearly everything has to go through an administrator

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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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We were previously using an older version prior to it becoming Salesforce Lightning Platform so we were well adverse on the advantages of using a CRM, to begin with. It made sense to convert to Salesforce Lightning Platform after we were given a free trial of the platform. Certain reps were chosen to experiment with it and from there a decision was made to move forward. We've been customers ever since.

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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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• Better visibility of Accounts and Contacts interactions makes it easier to maintain during employee transitions.
• Tracking of current jobs and relating them to past jobs is very useful.
• More efficient use of Sales Reps time.
• Sales Managers have good visibility into how their people are working.

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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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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info