Alkira Network Cloud vs. SAP Business Data Cloud

Ease of data modelling and SAC dashboards make it easier for super users to present their data. SAP Business Data Cloud is very strong tool which is helping the organization to arrange meaningful and important data at once single platform. This data can be used in Data bricks for any AI needs and in SAC for analytical reporting.

Incentivized

• 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.

Incentivized

• Pricing model is looking complex not able to justify with products like Azure
• Integration with non-SAP system can be made more simpler if possible
• Joule is good but still this can be made strong to handle complex analytical queries
• Modeling Planning in SAC can be made user friendly

Incentivized

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

Incentivized

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.

Incentivized

support team is generally responsive and knowledgeable, and most issues are addressed within acceptable timelines. Documentation and standard guidance are helpful for common scenarios.

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

• State-of-the-art and faster Data extraction, mapping, and transformation both from SAP and non-SAP data sources.
• Supports ECC to SAP S/4 HANA data transformation use cases.
• AI-enabled use cases leveraging Databricks further reduce the ETL process in Data transformation.
• Faster Go-To-Market as reporting and dashboarding don't require much custom development. Instead, SAP Analytics Cloud helps here.

Incentivized