Data Analysis with SAP Datasphere
October 18, 2023
Data Analysis with SAP Datasphere
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with SAP Datasphere
SAP helps me integrate, visualize and process data effectively and efficiently. Data retrieval and analysis using SAP is much easier and more robust comparatively. Also, it is easy to connect and join data at elsewhere and integrate them and/or remove the redundancies more smoothly. The cloud linkage and workflow are the best suite.
Pros
- Data from numerous sources, both locally and on the cloud, is simple to integrate.
- Simplified and detailed data visualization tools.
- simple and rapid development
- Integrate previously existing data models.
Cons
- High cost and maintainence
- There are no free services available, no free demo application use cases which makes the user not have an overview how efficient it is.
- Virtual servers are sometimes laggy and slow..
- SAP is expensive, but virtual servers have benefitted in data operations remotely.
- Reduction in cost per head operation.
- Increase in data manipulation and organization work per team and per individual.
- Less time frame required for operations comparatively.
Using SAP Datasphere to simplify data landscape has benefitted significantly. It has helped in assessing data assets thoroughly before centralizing data integration and putting in place a robust and secure environment to operate on. The data environment can scale to handle future data expansion and briefing. Expanding data volumes and a variety of data sources can be efficiently manageable with SAP Datasphere.
The synchronization of SAP data with data from other sources can be inculcated by using SAP Datasphere to streamline it in the data environment a team is operation on.
Effective integration, uniform control over data, cataloging, transformation, and data enrichment can all be implemented using SAP.
Automation reduces physical load, while quality control helps in maintaining the consistency of the data.
So, integration of third-party data sources for a single and reliable information repository, create a data-centric environment.
Effective integration, uniform control over data, cataloging, transformation, and data enrichment can all be implemented using SAP.
Automation reduces physical load, while quality control helps in maintaining the consistency of the data.
So, integration of third-party data sources for a single and reliable information repository, create a data-centric environment.
SAP is highly impactful and significant in aligning data strategy, ensuring robust data control, integrating a variety of data sources (local and cloud), prioritizing data quality, and fostering a data-driven culture.
SAP has been very helpful and efficient in the following use cases: Implement machine learning algorithms to automatically identify unusual patterns or anomalies in data. Automating the detection and correction of duplicates, missing values, and inconsistent data by using ML.
Three main advantages:
1. cost effectiveness
2. Robust and data friendly environments from all sources
3. Low maintenance and complete data control.
1. cost effectiveness
2. Robust and data friendly environments from all sources
3. Low maintenance and complete data control.
Do you think SAP Datasphere delivers good value for the price?
Yes
Are you happy with SAP Datasphere's feature set?
Yes
Did SAP Datasphere live up to sales and marketing promises?
Yes
Did implementation of SAP Datasphere go as expected?
Yes
Would you buy SAP Datasphere again?
Yes
Comments
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