CB Permissions Replicator vs. Tableau Desktop

It is an ideal program for the portfolio of already consolidated clients, for large financial companies with a high professional profile. In the cases that I do not recommend it, it is for small and medium-sized financial companies, with a portfolio of clients in training, since the cost-benefit ratio is not attractive.

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).

Incentivized

• Visually friendly for the end user, maintaining the most common design style for workers
• The adaptation time and the learning curve is relatively shorter than other similar applications

• 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.

Incentivized

• The graphics could be developed in a better way, they should be more modern, friendly and show the information in more detail.
• Develop a module in the application that allows personalization by the user, giving him the possibility to manage a tool made by him to suit him. Moves the APPS Mobile concept to the design of the program.
• Although the tool is well integrated with Microsoft, you can think of a development of integration with social networks or mobile developments, both users, and customers.
• Develop a more economical and simple version, aimed at small and medium enterprises, with small client portfolios

• 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

It is a complementary tool of the main CRM, which provides an adequate management of the documentation, reports, files that are derived from the business activity. It offers adequate levels of security for small businesses, the implementation is easy compared to other tools, it is easy to use, it offers adequate file capacity. In the future it can be strengthened with access to the cloud, development of apps and integration with other platforms.

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.

Incentivized

As it has already been said before, it is a simple implementation program, easy to use, with a short learning curve, with a friendly interface, a good design, a security according to the type of company and with the possibility of personalization. It provides an accessible cost tool to improve business management and document management.

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

Incentivized

Until now, technical support has not been required to a large extent, but for this question three variables must be taken into account; The level of complexity of the implementation of the tool, the courses, tutorials, training and learning curve of the users, and finally the technical support as such. This tool has implementation attributes and ease of use, reducing the incidence of technical support.

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.

Incentivized

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

Incentivized

Check the seller's website, read the technical specifications of the product, calculate the investment in personnel, software and hardware, validate that the management modules document is what they are looking for. Project the integration of the program with the systems that the company manages. Read many reviews and note the most important points of the user experiences.

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.

Incentivized

Basically, my main experience is focused on Dynamics, I have worked with similar tools developed in a particular way by the firms for which I have worked. They are monitoring tools developed by the system and planning area. For the internal use of the company. Obviously, this is a leading international program.

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.

Incentivized

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.

• Without speaking directly of figures, on the positive side of the implementation of the program is tied to the time of learning the tool. In practice, it is much easier to learn by professionals, making the implementation time short, as well as, minimizes the margin of error in the initial handling of the program.
• As it is a tool for easy learning and with a reduction in the margin of error due to the learning curve, it allows working only with the technical support offered by the provider, without having the need to create an internal department of attention to the user, which lowers costs.

• 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.

Incentivized