Oracle Fusion Cloud ERP vs. Spotfire

Oracle Fusion Cloud is best suited if a customer moves from Oracle eBusiness Suite (on-prem) to a SaaS offering. The transition is comparatively manageable to implement. However, the customer must understand that we cannot have too many customizations in the SaaS model, so many heavily customized on-prem applications would need to be incorporated in the Cloud by using Cloud tools like Oracle Integration Cloud, Oracle Cloud Infrastructure Autonomous Database, Oracle APEX provisioned on OCI, etc.

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A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.

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• I no longer need VPN to login into the ERP cloud system.
• I no longer need Java app required for form based application.
• Data uploading feature using excel was highly required as it makes user life easy.
• The application is self explanatory and easy to use.

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• It has the best coding integration (python, R) of any BI product
• The ability to work with very large datasets (10 mil+) is better than competitors
• Export options are more complete and have better functionality
• The data canvas is the best tool to join and transform data vs. competitors

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• Wide localization process.
• Automated (without a human) business operations, better rpa solutions, scanning, mobile app, etc
• Central systems for the company re using more than one erp systems.
• Better reporting tools
• Developer source also not such enough maybe to support them in each (in their market) countries.
• Price policy also

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• The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
• Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
• Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column

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Oracle ERP cloud is a significant investment for our company. It will be an ongoing software cost and there's no looking back on that. Our users have become very accustomed to this tool that it is not practically feasible to rip them off from this system. So yes we will continue to renew the subscription going forward.

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-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.

Depending on the menu, some items are easy to navigate, however other areas seem like have too many menu selections resulting in many clicks to get what needs to get done. The more you use it the easier getting things done becomes; it is not difficult to learn.

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Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.

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The application is used by big banks like HSBC is a testament to its reliability. I did not hear or experience any outages.Oracle is in the hosting business since long. In its previous avatar, it used to be called as Oracle on demand. So oracle has enough experience and expertise in hosting and managing customers applications in their datacenters. Oracle is the only major company which has platform as a service, database as a service and software as a service product offerings on the cloud.Hence customers can rely on Oracle as many major fortune 500 companies do.

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Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.

Cloud performance is something that they need to improve. Also it is not consistent. Sometimes for some users it is slow while for others it is fast. This is frustrating for users especially when they are in the middle of what they are doing. We communicated this to Oracle and they suggested to submit request for environment re-sizing. But again this we think should be a proactive effort from Oracle rather than relying on customers to reach out. This is something Oracle definitely needs to work on.

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Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.

Support is always providing step by step details to resolve any issue we encounter. If the issue is currently not a functionality or feature of the application they are supportive in offering guidance on submitting an enhancement request. Currently there is an enhancement that will be rolled out by Oracle that was designed for our organization.

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Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.

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The inperson trainings from Oracle University are effective. The trainers have vast experience and teached thousands of students. In person training will make people sit in a class and do the exercises. One can also learn from other students, who come with different background, industry etc. In person training will be an immersive experience and helps learn more in a short period of time.

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The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).

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We bought online training subscription from Oracle University. The subscription allowed our team to learn the nuts and bolts of the application.The subscription model helps access to all the modules as opposed to buying training for one module. We also leveraged guided learning subscription from Oracle. Guided learning is a state of the art learning application from Oracle. It resides within the application and guides the users on each and every step. This is learning by doing and is very effective. Once you buy guided learning, oracle keeps updating it with the release of new functionality in the quarterly upgrades.

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The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)

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Try to use the system as true to generic form as possible and cut over quickly. Parallel implementation is not recommended. If the numbers are accurate and materially similar to prior period - cut over. A small accounting adjustment is much better than millions in project overruns or dual system maintenance.

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The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:

• Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
• Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
• Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
• ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
• This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.

Oracle Cloud ERP is more flexible, more negotiable and has better breadth and support worldwide. Their reports are better and speed of implementation is faster. It stacks better since the company is larger, more stable, and has more research and development. There are more references to check with peers too.

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Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.

Orcle ERP Cloud transformed and stabilized in this past 2 years since it was implemented. We have past the auditor reviews and 24 month end closes and 8 quarter closes and 2 FY closes. Above all we do have SEC reporting with all this data. Having said that our ERP subscription is a worthy investment and highly reliable source of information for our organization's needs

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In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,

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• A tool that has made us able to get much ROI by the bank account integration, management of cash, and controlling business unit.
• Project management is made easy with its module and tracking with the exact time and issuance makes it more convenient and compatible for the return.
• Automation in pay and expenses improve the company’s visibility in the market.

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• It is costly, so not suitable for small scale implementations.
• Dashboards are as good as the developer, so need experience to get most out of it
• You need to be on Spotfire 11 at least to implement out of the box visualizations
• Integration with Python and R is a game changer, it comes very handy to onboard data scientists without much hassle
• performance is exceptionally well.
• Secure

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