SAP Datasphere vs. SAP Master Data Governance

One of the best use cases for SAP data sphere is ecommerce and retail business where a lot of locations are constantly generating a lot of data and we need to make important business decisions based on that data. SAP data sphere can help wit integrating multiple data sources and help with analytics, data processing, modeling and making business predictions

Incentivized

Best Suitable: 1. Good for us as we're bigger organization. 2. Places were high quality data & Compliance mandates. 3. Complex data management projects 4. To have better workflow in a place Less suitable: 1. For small to medium size organization. 2. For short duration projects/ requirements. 3. Non-SAP environments or limited ITIS team members 4. Also, to handle simple data structure

Incentivized

• SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
• Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
• Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.

Incentivized

• I like being able to create our own tables that aren't specified by the application; arranging data utilizing data spaces is a dream come true.
• Using semantic data space instances with workflows improves performance significantly; firms with several domains may use the same application with numerous data spaces for master data management.
• SAP (MDG) remains unique in the flexibility to model and manage master data the way it is used in the company, with all capabilities easily available through an intuitive user interface, and is not bound by the vendor's mandated data models.

Incentivized

• Need to have a good understanding of the SAP ecosystem to implement and use it.
• From a cost perspective it can be little bit on the expensive side for enterprises.
• The platform is still new and hence more subjected to bugs. But support for it is always good from the SAP team.

Incentivized

• As with all powerful and complex information platforms, SAP MDG does have a learning curve to it, especially if you plan on doing advanced things such as implementing MDM automation.
• SAP MDG is capable of replicating data across many platforms (including non-SAP) however, this too, has a learning curve to it and will require some work. Bottom line...it doesn't just happen out of the box!
• SAP MDG's flexibility can also be a weakness as sometimes you just want to implement a standard governance flow without defining everything from scratch. We have found that usually, you will need to define each workflow yourself in order for it to work properly.

Incentivized

MDG has proven to work and to bring results once implemented with the right approach, right engagement and sponsorship. Given that it is a very good tool to govern and control master data. Mainly if your company runs SAP systems which there will be a very straight forward integration, not needing any additional middleware or technologies.

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It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.

Incentivized

SAP Master Data Governance(MDG) provides ease of use for the end users i.e. master data experts. It provides a good UI that is not SAP GUI. SAP provides support for any standard issues that we face. Their new set of Fiori tools helps us get more bang for our buck.

Incentivized

I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.

I haven't been using the support services individually. Instead, there are responsible units within the institution who train and support the users of the software in the institution. The service provided by these units are quite adequate and they probably get the service from SAP itself. That's why, I can assume that the support services are quite successful.

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critical to get management on board earlier and prioritize the resources

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Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.

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An environment provided by SAP Master Data Governance seamless and integration with other SAP products is very good. Also it ensures compatibility and streamlines procedures, this integration is beneficial for businesses who have already invested in SAP products.

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Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service

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Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.

Incentivized

• Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
• Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
• SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.

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• In this digital era , internet generating huge data ( master data and transactional data with pics and videos) if not managed with MDG product, ERP would become Junk data which results in expensive affair to" maintain, archive and manage disaster recovery "

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