Oracle Hyperion (legacy) vs. Spotfire

Well suited: For use in multiple offices around the world. I was able to obtain financial reporting data from 5 foreign offices and then consolidate their data with 3 domestic USA offices to prepare a consolidated financial statement. Less Appropriate: Translating the financial value for consulting services could be a bit challenging because that required human interaction and judgement. It would have been great to be able to set up some software to be able to interpret this and let it run for all future project work revenue projection.

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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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• This product handles budgeting by Employee and/or Position very well. It is highly flexible and allows Hyperion administrators the ability to develop a planning application that fits a variety of different business needs.
• It is great at calculating benefits using business rules to automate the population of these fringe costs in the overall budget planning process. This greatly reduces user error.
• It allows you to seed the operating budget based on changes to key drivers, such as percentage increases, flat dollar increases and more detailed changes using business rules.
• Allows visibility into the plans for each unit across the organization, rolled up into an overall budget for the campus.
• It handles the creation of budgets with multiple chartfield segments or dimensions, which most other budgeting systems cannot handle well. It can aggregate these very quickly.

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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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• One pain point for us is the consolidation and translation process. Needing to translate the data over and over again is frustrating and there is no visibility into how many users are running a translation. If multiple users attempt to translate the same data set, say goodbye to your performance but you have no way of knowing! (Unless you want to pull up a task audit which is not a very realistic expectation). It has the been the quickest way for us to bring the system to it's knees. The consolidation process performs in direct correlation to the complexity of the calculation/consolidation rules. So, while the product is extremely flexible, you still have to be careful how you design your rules and calculations to make sure that you do it on the smallest subset of data as possible to avoid large processing times. This makes sense, but requires some significant expertise that most organizations do not have in-house.
• The Hyperion Financial Reporting product is ridiculously outdated and clunky to use. The interface for designing reports is not intuitive, and not easy to modify once a report is built. I think there must be a strategic decision to move away from it and go to something more like Oracle BI because I just can't understand why in the world they don't update the reporting product. It also requires a significant level of expertise to be able to use. Not a great solution at all if you want multiple end-users to create reports in something other than Excel. Nobody except the HFM admin (which I used to be) in our company even touches this module.
• Another pain point is the amount of IT support that is required to run this thing, and again, specialized knowledge of Hyperion products and how they work is required for IT to adequately support it. This goes for application servers and the Oracle database that the applications are running on.

• 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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We're in the middle of the road because we are not sure that other products on the market fit the bill for what we need yet. Hyperion is expensive and burdensome from an administrator and maintenance standpoint, but it still seems to be the best solution for what we need. Show us an equally capable SaaS consolidation product and we'll talk again.

-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.

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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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.

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.

The premium support team provides much needed dedicated customer service which we are after for what we have paid for this service. We are satisfied with the service and support and do not have any instance where there was an issue that requires escalation to get the right support team. Though the incidence of major issues that requires the premium support are less, we prefer to keep this as a safety net.

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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 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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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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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.

I use Oracle Hyperion Enterprise Performance Mangement because the company I work at requires me to use it in the Financial Planning sector as most of their data is stored in it. I am open minded and ready to use other performance management tools created by Oracle if my work permits.

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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.

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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• Oracle Hyperion allows us to automate and consolidate financial data that used to be performed manually in spreadsheets. From that perspective the ROI is huge.
• Oracle Hyperion functionality is extensive and allows us to perform most functions for planning, consolidating and reporting on our financial data.
• One negative with Oracle Hyperion is that it is complicated to implement and maintain. It takes expertise at all levels (infrastructure and management) to realize the benefits from it.

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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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