Likelihood to Recommend Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
Read full review Order to cash processes and scenario are implemented natively in IFS. An HR module exists for career management also (objectives, comportments, training, mobility) but may be improved in terms of workflow validation (e.g. training to validate by a manager) or reporting.
Read full review Pros Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models. Customization and easy to alter and change. If you already are an Amazon user, you do not need to transition over to another software. Read full review Accounting Finance Complex Inventory Read full review Cons The UI can be eased up a bit for use by business analysts and non technical users For huge amount of data pull from legacy solutions, the platform lags a bit Considering ML is an emerging topic and would be used by most of the organizations in future, the pipeline integrations can be optimized Read full review The speed of bug fixes should be improved by the IFS after sales teams. We saw the difference of responsiveness prior to Go Live and after Go Live, with a change of teams. IFS France is working on that point, and strategically wants to innovate by acting now with two other third-party companies in early 2017, to improve the after sales experience for customers. There is no license model between the full licenses, which gives access to all IFS features, and the light licenses, to get access to a specific module like expense sheet. As a consequence, you must acquire a full access license for one team working only with a dedicated module (e.g. general ledger). Maybe an intermediate type license would be welcome to balance the budget. IFS tries to make prices competitive but you have to consider full upgrades of the product too, where requiring full licenses can be hard on the budget. When you have an Active Directory ecosystem with a trust relationship, users from domain B can't natively access IFS, even if AD sync is in place with domain A. It's important to improve that functionality because many companies have a merge and acquisition context, with SOX constraints sometimes, and avoiding maintaining contacts or local accounts simplifies SOX compliance, or to management of accounts within the company. Read full review Usability The system is very difficult to use, overly complex, and difficult to learn. It also has limitations that are hard to overcome.
Read full review Support Rating We have been unable to get answers to our questions, solutions to our problems, and they don't seem interested in working in the construction industry.
Read full review Alternatives Considered Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you use it, so it becomes less costly compared to others.
Read full review Microsoft AX, QAD (in continuation of our previous ERP), Sage X3 was an out of the box ERP that was part of initial RFP. We have chosen IFS based on the compromise between costs & budget, functionality, technical features, and feedback from similar customers that gave their feedback. The project manager team and qualification level of technical or consultant teams were differentiating factors too. Finally IFS application was named in the Gartnerās mid-market ERP Magic Quadrant, along with SAP, and helped us to finalize our choice
Read full review Return on Investment We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers. We can prototype more rapidly because it is easy to configure notebooks to access AWS resources. For our use-cases, serving models is less expensive with SageMaker than bespoke servers. Read full review Reporting is now centralized and managed. Previously, reports were outside the information systems and there was a risk of incoherence. Accounting controls are now in place on the overall processes, including production, which helped the company to reduce closing periods or to produce more easily official mandatory accounting files yearly. Interfaces between the CRM forecast tool and IFS helped to keep the tools in sync, and to decrease the processing times prior to production launch. Read full review ScreenShots IFS Applications Screenshots