SAP Business Data Cloud - Much better data warehousing
Rating: 10 out of 10
IncentivizedUse Cases and Deployment Scope
Our organisation uses SAP Business Data Cloud as a modern data warehousing and analytics platform. We were using the BW 7.5 on Oracle database. As SAP decommissioned the BWA feature in BW 7.5, we were facing performance issues. Moving to BW on Hana or BW4Hana looks short term solutions at that point. To overcome that, we were looking for the next options. Here, SAP Business Data Cloud suits better for our needs. The SAP tool for the SAP data would be a better and more reliable solution. SAP Business Data Cloud helps to transform the raw data to a semantically rich dataproduct. We are using replication flows for some premium outbound use cases as well. With this SAP Business Data Cloud suite, we were doing seamless planning for project cost. This reduces a lot of the data transfer process. Using the analytical model, we built multiple statistical dashboards. In addition to that we could able to achieve the realtime data replications which increases the accuracy and reduce the lag.
Pros
- We have created the semantically rich dataproducts which are residing in the object store. We use the same dataproduct for the dashboarding and for the external non-SAP demand planning tool (maestro). This ensures data uniformity and a single source of truth.
- We implemented the Capex planning model in SAP Business Data Cloud's SAC tool. Here, we could fetch the realtime data from the S4 source system and write back the planning data to the same source system via the SAP Datasphere using the seamless planning option.
- An AI core model has been deployed in SAP Business Data Cloud for the service cloud V2 data. This trained model will identify the potential customers from the opportunities and automatically propose the quotation with higher accuracy.
Cons
- There are no layer concepts or guidelines for the structured implementation. This leads to a lot of doubt where to use which object model and struggled to create an optimised dataflow.
- There are no options in the application area to reuse the logics. If we want to manipulate the same logic between multiple source and target object means, we need to create multiple transformation flows. Future maintenance will be taken care of in multiple places to be in sync.
- SAP is suggesting to keep the dataproducts in the object store space. To refine the dataproduct, we don't have extensive operation skills inside the object store. To add complex logics, we may need to flow the data to HANA space, perform those operations, and bring it back to the object store.
Likelihood to Recommend
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.