TIBCO Spotfireの評判・口コミ 全2件

What do you dislike?

Expensive. Need seamless integration with all the ERP applications and unix systems as well. Report performance with increase in data volume depends on ram available on the machine.

What do you like best?

TIBCO spotfire is one of the best BI analytics reporting tool in market. In memory visualization and build once and publish all users are best. Users can use the existing report and build their own visualizations. It can integrate well with matlab and can be enahnced with R scripting.

What do you dislike?

Calculating custom fields in Spotfire is definitely not as intuitive as it is in more common programs, such as Microsoft Excel. Often times my team and I need to manually calculate the data in our Spotfire tool and writing expressions in Spotfire in order to plug those formulas is much harder than typical formula-writing. Spotfire uses a different set of indicators for it's formula language that is more in line with SQL writing, which can be difficult for beginners or those not familiar with coding. Additionally, Spotfire data sheets require each column of data to be categorized into a certain "type" of data so that the program can read the field values correctly and thus, calculate them correctly when needed. For example, a number field value must be listed as an "integer" data type, an alpha field value must be listed as a "string" data type, etc. The tool will initially "guess" what type of data each column has in it, but it is up to the user to manually change any that are not categorized correctly. If you do not change them, they may not calculate correctly in any of the subsequent analyses you do with that data in the tool.

What do you like best?

My company relies heavily on data analytics to provide our clients with comprehensive evaluations of their financial performance. In the past, we were restricted to using canned report templates built from our workdriver software or any existing software reporting our clients may have already had. However, once implementing Spotfire analytics into our workdriver tool, my team has been able to pull large amounts of financial data and present it in a plethora of beneficial ways for our clients. Spotfire analytics offers a user-friendly platform for analyzing, presenting, and researching hundreds of thousands of client accounts in mere seconds, and provides data visuals that are easy-to-read and meaningful for our client to better manage their organization's revenue and costs. My favorite feature is the sheer amount of data this software can handle - Spotfire can load and calculate a year's worth of my client's patient records (on average, 900,000 records) without a problem. Any other tools I've used (e.g., Microsoft Excel, Access) would instantly freeze or shut down when trying to process that much data.

Recommendations to others considering the product:

I highly recommend familiarizing yourself with case writing before you dive into this tool. When you understand the nuances of Spotfire's formulaic language, the data testing benefits of this tool are endless. You can customize data testing templates in Spotfire and configure them to automatically update every time you feed a new data file into it, so that you can test multiple iterations of files against the same template with ease. For example, my team built a Spotfire template to identify which departments in my client's organization were writing off revenue to the company's debt vendor (i.e., writing off money that will never get collected or paid) by setting the formulas up to identify a certain transaction code, and tie it back to which department in the organization had used that code. We were then able to load multiple files into the same template (e.g., financial reports from April, May, June) and analyze which departments wrote off the most debt for each month. We immediately saw a trend for a specific department, identified that risk, and were able to help our client save hundred of thousands of dollars by preventing those write-offs in the future.

What do you dislike?

Too many third party tools needs to be licensed to achive basic things

What do you like best?

I like the Statistical services charts and map chart, The way intract with data.

What do you dislike?

For advanced users, it is not as easy as it looks to design robust dashboards.
Information Links need to evolve a lot as a semantic layer. More user friendliness is required to design Business- Logical-Physical layers. Defining complex joins, complex filters is quite cumbersome.

For me, managing real estate is a disappointment. Free floating text areas should have come in handy whenever they are only needed for some code based controls etc.

Gauges, traffic lights & scorecard visualizations are not part of standard list.

Each IronPython script need to be authenticated individually every time when the dashboard is promoted between environments (Dev -> QA-> Prod).

User & content management through desktop client. It needs to hop between Library administration, Administration Manager windows. This could be great if handled through web client (imagine CMC of SAP-BO or IBM's Cognos Connection )

No straight forward way to implement row-level data security (data access restrictions based on column values).

What do you like best?

In-memory analytics, Enterprise architecture, Data discovery, intuitive graphs, highly customizable elements with IronPython scripting support, Easy integration of R (TERR) are the features that really impressed me. Look & feel of the dashboards, easy filtration for slicing & dicing the datasets are other mentionable features.

Information Links are good for multiple data sources if the columns are required to be pulled in single set. Bookmarks for personal as well as for team(s) increases the usability of the dashboard with more personalization of the information.

The tool is very easy to learn for basic operations. i.e. for end users very less training is required.