IDOVEN developed an Artificial Intelligence platform to detect heart problems at any stage and prevent heart diseases.
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SAP Business Data Cloud
Score 8.4 out of 10
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SAP Business Data Cloud is a fully managed SaaS solution that unifies and governs all SAP data and seamlessly connects with third-party data—giving line-of-business leaders context to make even more impactful decisions.
SAP Business Data Cloud is suited mainly for SAP data integration. We could able to easily consolidate the data from S4 and service cloud V2 system. SAP Business Data Cloud enables realtime data replications. We could able to leverage the AI core features. As my previous data warehousing skill is from SAP BW, I am missing some basic features comparing to BW. Master data manual maintenance, Time dependant masterdata, language independent text is also not straightforward.
SAP Business Data Cloud help in arranging data at one single place reducing cost of maintenance for multiple platforms and governance.
Once data is arranged , it can be modelled as needed using Datasphere and in data bricks for AI needs
Data fabric provided in SAP Business Data Cloud helps in reducing man efforts to design models needed for PNL reporting as data fabric helps in quickly designing the solution with great accuracy.
In the new analytics world, BDC has been a game changer for SAP Analytics. Extending the SAP data for the usage in Databricks, snow flake, GCP has opened new doors for Analytics . Shift from traditional data warehousing to Business Data fabric adapting to the change in the analytics world is the need of the hour and Sap has managed to pulled it off with BDC
1. Easy to understand and use for developers 2. Detailed training, including the SAP Partner get-certified academy and developer documentation, to upskill and learn more about SAP BDC 3. A bundled offering of SAP Datasphere, SAC, and Databricks also helps. BDC supporting Snowflakes is another game-changer for SAP BDC in the long run.
support team is generally responsive and knowledgeable, and most issues are addressed within acceptable timelines. Documentation and standard guidance are helpful for common scenarios.
One of the best training session I attended and they covered most of the topics and answered all our questions. participants joined from different regions, infact they all had a different questions and it was different thoughts from all of then and helped to learn better. Though I was on travel, I could able yo attend the session.
I have done implementation of models in traditional bw and Using BDC. The integration of BDC with S4 hana for creating sap data products is seamless and reduces lot of implementation effort. The intelligent app feature is BDC also eases the implementation effort. If i have to compare the previous world with new BDC, implementation effort is largely saved
With a S4 backend a lot of core functionality is made simpler - authorization, data types, currency conversion. In particular if the front end choice is SAP Analytics Cloud. The lack of a good connection from Power BI to the datasphere application (instead of the underlying HANA cloud) is a major drawback in that scenario.
It provides nearly realtime data. This ensures fast and accurate decisions by the user department. The planning models are accurate now. We could able to automate some planning functions as well. This reduces the manual efforts.
Single source of truth ensures the data uniformity. Due to this, the Demand planning team and the Sales and Operations department are looking at the data with zero deviations. This ensures the smooth operations in our manufacturing plants.
IT cost estimations are reduced after the required dataproducts are generated. Self service from the user department is increased. They should able to make the changes with the same time window of Business Requirement document creations. Catalogue features also an added advantage which significantly reduces the dependencies.
