Oracle Fusion Cloud PLM is a collaborative platform that helps users bring product ideas to market faster by standardizing and structuring the data and processes that go into innovating, developing, and commercializing products and services. It includes the capabilities of the former Agile Software Corporation, acquired by Oracle in 2007.
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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…
In simple words Oracle Product Hub cloud is easy to set up and configure, we don't have to depend on anyone to set it up. It's that super easy. But to operate them we need to have proper training and needs to complete the essential certifications. But compared to others it's …
While considering oracle Product Hub Cloud, the most thing which attracted me toward it is that it provides a single, Best in class data management to deliver master product record that threads business process including cross chain compliance product introductions although it …
I've used Arena PLM in a previous establishment and absolutely loved it! The system was easy to use, navigate, configure, and it worked well to record training. I was at a startup so I'm not sure how this system would do in a medium or larger sized corporation, but it was …
We did not evaluate other software because Oracle Agile PLM was highly recommended by our Board of Directors. We knew of another company that used it with favorable results and felt it would help us in our management of the manufacturing process.
We have always been an Oracle shop. Initially we started out with Oarcle ERP on premise and then we went full blown with Oracle ERP Fusion cloud. In the process we did check other ERP providers like SAP, etc. but only Oracle proved to be cost effective compared to others. If …
Aha! is more user-friendly than Oracle Agile. Managing products is easier and smoother. Aha! also has a better UI and is easier to learn. Oracle Agile PLC has a huge learning curve and takes time to implement and train the user on how to use it. The cost to use Oracle Agile is …
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.
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.
SAP Master Data Governance is clearly superior from Informatica MDM as its faster and more secure then Informatica MDM. The SAP Master Data Governance has better data governance it helps in providing workflows which streamlines the master data processing.
1. Informatica MDM for lot of flexibility and integration with other tools. Need to integrate with other tools then it will be useful. 2. Infosphere MDM by IBM for handling a lot of data with complexity. Larger enterprise can got for it.
Great features and availability in cloud. Feedback from existing customers were good and easy to integrate with other applications in the market. High efficiency with easily scalable features. Continuous improvement and support. Product road map was good. Resolving most …
SAP Master Data Governance was the best choice for us since 50% of our business enterprise software consists of different SAP ERP software modules and SAP Master Data Governance integrates and manages data the best if from predominantly SAP ecosystems like ours.
SAP being a global ERP product supporting most of the business module, became one of the most popular ERP solution. The use of MDG module came in really handy as we could inter-corelate them & use easily with other SAP modules & data exchange becomes more easy and convenient
SAP Master Data Governance is quite simple on its first deployment and configuration of all its Cloud functions is quite easy. The big data handling functions with SAP Master Data Governance are functional and very secure tool for multiple project data migration across the …
Oracle Agile is great for companies that need a way to manage their products and work with various resources in their department from developers, to PMs and UX designers. This is a great way to keep track of feature requests and shippable versions of the product. Implementation and user friendlessness is an issue with this tool so companies that have the budget for consulting or for additional resources to help implement and maintain will need those resources as it is necessary. Training resources should also be factored in by any institution wishing to implement this.
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.
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.
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.
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
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.
In simple words Oracle Product Hub cloud is easy to set up and configure, we don't have to depend on anyone to set it up. It's that super easy. But to operate them we need to have proper training and needs to complete the essential certifications. But compared to others it's easy and will help in the business a lot more than others.
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.
The gains provided by Oracle agile PLM have manifested themselves mostly in terms of time, since by being able to better organize and schedule our work we have been able to expand our ROI significantly, gaining around 900% of the investment made monthly, which leaves our ROI at 9g.
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.