Nimble vs. Tableau Desktop

This tool is suitable for all sizes of organizations since it has the capacity to manage customer relations in the best possible way. Its features like task management, reports, social collaboration, and forecasting are always considered important for CRM and they all work without causing any trouble. But its Reports need to be more elaborate and its interface should be made easier and less tricky.

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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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• Importing contacts in the CRM is very much consist of easy steps.
• It allows me to create, edit and view contacts records anywhere from the web.
• It is helping me to stay organized in terms of marketing needs and providing real-time information automatically.
• it is playing an excellent role in managing our all relations.

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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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• Nimble's storage space is very sparse, but we have found that it can be expanded at an additional cost.
• Their mobile application is not as good as some of us expected, and we strongly recommend improving it to make it work effectively.

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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

It's truly a great system if you get it for the right reasons. Don't expect it to do everything a mid market organization would require but for any small business or mid to large organizations which would like to integrate to it for the social insights capabilities this is a leading solution which can add value immediately

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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The platform has more advantages and positives as compared to challenges or negatives in comparison to other comparable products and platforms available in the marketplace. It was extremely easy to get started with the initial deployment which makes the choice much clearer. Finally its tight integration not just with Microsoft O365 suite, but also with [the] most popular social media platforms available makes it a very favorable platform in its domain.

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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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It was productive to be able to access remote support sessions from nimble employees, whom we decided to contact to have one of the features mentioned above explained to us. They were methodical and easy to explain solutions, so we recommend them for any kind of doubt.

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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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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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Nimble has proven to be a positive and well-respected application within our company for setting us up for success at building personal and meaningful associations with decision makers. It has been a significant reason why we have gained acceptance and trust from those who we have introduced ourselves to over time. The ability to feel a true understanding of our prospects and customers as real human beings with unique interests and common aspirations opens up doors of valuable conversation. The other options that were reviewed and considered provided many of the common ways from the past that stored CRM information. This method was much more of a static representation of the real interactions made between a company or salesperson with the prospects and customers. Nimble has brought back what should never have been lost - being like neighbors who spoke to each other about more things than just business.

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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.

• Time-Saving is one of the biggest ROIs for me. 30-60 minutes a day means I can focus on more marketing, sales, or client work.
• A soft ROI is in better contact relationships. People are often impressed that I follow-up after meetings, and especially when they say to contact them in 6 months or next year.

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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