Brassring vs. Tableau Desktop

Kenexa is is well suited for any organization that has more than 3000 employees globally. I would not recommend this to startups or a growing organization with less than 3000 employees. But once you cross this number, Kenexa becomes useful and is a brilliant tool for global operations - recruiting. I would recommend this tool to any organization that has offices in many countries/geographies as well.

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The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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• Kenexa allows Boolean key word search within a particular requisition so it makes sifting through a high number of applicants manageable and effective
• Kenexa can be tailored to meet individual business needs. During the time we’ve had Kenexa here I’ve used it in support of a few different business segments and for each the way the system was used to “position” candidate statuses have varied based on the individual need of the business. One example is when interviewing a high volume of applicants internationally, we were able to send qualified applicants through to the “event manager” and it would enable the candidate to select his/her interview date/time based on previously submitted options inputted by our Kenexa users.
• Kenexa allows one to customize and score questions for each open requisition that applicants complete as they apply. The system then sorts applicants according to the score of candidate answers allowing for easy sorting of top qualified candidates.

• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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• BrassRing's application system for candidates is prone to freezing and crashing in the middle of the application causing potential candidates to lose all progress. I filled out the application myself and witnessed these issues first hand, on top of several complaints I received via phone and email from candidates attempting to apply via the BrassRing service. Also, the Parsing system within the application is not capable of pulling any meaningful information out of text documents.
• Each user must be added to each job in order for that job, and the candidates in it, to show up in relevant searches. This becomes a problem when a new team member joins the account and needs access to all of the previous openings just so that they can find candidates already in the system. The account I was working on involved literally hundreds of new openings a month, meaning that any movement of personnel on or off the account would mean having to update potentially thousands of old positions just to allow them to be able to mine the ATS for candidates. I don't see any particular reason why someone with access to the system should have to be given access to each individual job. If a particular position needs to be kept confidential for whatever reason then that individual position should be able to be set to only show to authorized recruiters. The rest of the positions should automatically be searchable by anyone with appropriate access to the ATS to allow for basic level candidate mining and movement.

• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

I am confident that the Kenexa product will continue to evolve to meet the needs of our business in an ever changing work environment. The affiliation with IBM also plays a factor as we have a long standing successful relationship with IBM products. We will be looking to integrate other Kenexa products in the near future to streamline our HR processes.

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

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I feel like I am pretty decent with computers and systems. It was fairly easy to use it after about a week or two . But I have seen people struggle with it as well as some people not use it at all. It can be slow at times and not work at times. But Its a fine system.

Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Just slow for what we are doing here

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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It is a very basic system. It may be OK for entry level positions only. The practice of removing CVs while the recruitment process is ON is disturbing and there is no one to explain or to inform why it is being done. Even a routine mail is not sent to the client/consultant. I am surprised how this system is continuing without too many complaints.

Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

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It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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We purchased an out of the box solution and that worked well for us.

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Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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SF ATS was not available at the time and Taleo was thought to be too expensive. In retrospect, given the amount of customization and leveraging of other vendor technology for things like analytics I suspect any cost advantage we realized evaporated

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I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

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Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• Kenexa has assisted us in identifying top talent within our target market of applicants.
• Kenexa may exclude potentially good associates that don't test well.
• Kenexa clearly defines specific categories and general notes for training, development, & coaching of associates on areas of opportunity.

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• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info