SailPoint Identity Security Cloud vs. Tableau Desktop

As discussed in previous sections, it does integrate well with other systems, and basic JML works well; it's very powerful and customizable in these areas (though also complex). The downsides are in areas like access reviews, where it's less customizable (no way to automatically send a review to the owner for a set of access items; each review needs an individual to be selected for it).

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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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• Brings users access, profiles and accounts all into one place
• Manages the Life Cycle Management process across ALL identities, permanent and Temporary
• Secures and manages access to critical applications and resources across the group
• Enables Info. Security to customise, share and delegate authority across the group
• Single version of the truth across our technology platform

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• 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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• The user interface is not very intuitive. It is hard for the occasional user to navigate through the request process. There are no instructions on the screen to help the user to know what to do. It is left up to the user to figure out what to click on and how to navigate through the process.

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• 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

Its a best tool for a CISO, works very well, easy to use, great connectors and integrations, great reports, automated reviews, full compliance, great support to a JML (Joiners, Movers and Leavers) project;

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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Always improving the UI, so it's getting better. Some areas are fully featured, but others, such as Separation of Duties reporting and policies, are very weak.

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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.

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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Support for Customizations is very limited.

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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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The first journey isn't easy because you need to win your internal process and problem concern and Sailpoint have many experience to support this phase, and make the real difference into the client experience;

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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The on-prem SailPoint IdentityIQ platform provides the necessary customization that is required in our dynamic environment. Although we may look at a cloud-based Identity Management service again in the future, (there are many advantages), our identity management, authentication, and application assignment processes cannot be quickly consolidated to a single cloud-based service at this time.

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.

• Over 300,000 password change/reset calls avoided to the helpdesk annually.
• 1,000 plus accounts with proper accesses provisioned via automated birthright processes weekly versus 1-2 days of manual provisioning and approvals. With a call center population that churns many people per week, this brings many dollars of efficiency to the operations teams.
• Flexibility on terminations to manage accounts and access for target applications based on regulatory or business rules to ensure compliance and avoid fines for non-compliance.

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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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