SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.
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SAP Master Data Governance
Score 6.8 out of 10
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SAP Master Data Governance is a master data management solution that helps users to implement a cohesive and harmonized master data management strategy across all master data domains. It is presented as a solution that simplifies enterprise data management, increases data accuracy, and that facilitates consolidation, central governance and data quality management. The SAP Master Data Governance, cloud edition, a…
It helps our BUs analyze data and create dashboards they can understand. While slowing down with a large database, it becomes less helpful. In my experience, it is excellent in consolidating information from several sources for analysis, decision-making, and knowledge gaps. Excellent at managing information access.
When configuring and testing new plant and warehouse for our client in automotive industry we had to test warehouse business processes, for that we needed Mater data and transactional data. And We levied SAP Master Data Governance to import all the master data including Materials, Customer, vendor, work center, Bill of Material among other datas. Our inhouse SAP Master Data Governance team, tested the data accuracy, ran simulation before finally loading the data into SAP. There were many failed master data which could not be loaded because of missing prequisites like Plants, storage locations. We corrected them in SAP Master Data Governance system by configuring plants, slocs and adding them to the material.
Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
The learning curve is steep, and I think the build procedures might be challenging at first because we are transitioning from a non-systematic data management perspective.
My team and I believe that its integration into learning new capabilities is complicated and limiting in terms of customizing reports.
Allow collaborations among various personas with insights as ratings and comments on the datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
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.
Good tool with lots of potential, but I still see a lot of room for improvement, e.g. when it comes to debugging functionality to understand exactly where pipelines fail and what the data at that point looks like (similar to BW debugging). Also, I am missing SAPs standard machine learning libraries (Python) to be pre-installed, among some other general usability improvements.
Upto 8 1. Powerful Features: It offers a wide range of powerful features. 2. Complex Data Management: It helps companies to comply with large and complex regulation and audit processes. Missing 2: 1. Less interactive user interface or less modern look. 2. Limited integration with other tools
Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
SAP provides great support for Master Data Governance (MDG). They work with us when we are faced with issues in standard solutions. SAP has a great set of Fiori tools that can be used for a better user experience. The issue with SAP is their web dynpro UI screens and they need to provide better support for performance issues that customers face.
Since we are big on SAP ecosystem products in our IT landscape, it was natural for us to find a best possible solution from SAP product suite. However, we still explored the products available from Informatica product portfolio, we found using SAP Data Intelligence more prudent in terms of seamless integration with lot of our other SAP products.
Although Power BI has a cleaner interface, the functionality in terms of making sense of complex data has to go to SAP Master Data Governance. Any tool can be learned, so although there is a learning curve to SAP Master Data Governance, their online resources are a great guide.
We can make smarter decisions, enabling advanced scenarios like as AI/ML for predictive maintenance of instances, and data standardization decreases application build time, reporting, and connectors.
The quality of the data has been increased, and the consistency of custom functionality has been assured.