LinkedIn Sales Navigator for Gmail (discontinued) vs. Tableau Desktop

The Sales Navigator has allowed us to increase our awareness of our potential lead pool and has allowed us to grow our customer base. The system is easy to use and allows us to have great control over the number of leads we can see and the number of leads that we can connect to. Using the system has also helped us in being able to manage the number of leads that we can send.

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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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• Has many filter capabilities for me to find exactly who I am looking for.
• Integrates with other prospecting tools to create a well rounded with the information it can collect.
• Integrates with SFDC- automatically uploads them as leads.
• Integrates with Salesloft for me to easily start the cadence.

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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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• Sometimes it tells me I need to log into my LinkedIn profile when I've already logged in. It's weird. It seems to be when the email address is not found. Instead of just saying the email is not found, it tells me I need to log in. Just something I've noticed.
• Sometimes I get this weird thing where I go to compose an email and instead of having it open all the way to the right, it opens all the way to my left. I'm pretty sure Rapportive is what's causing it. It doesn't happen very often but sometimes I see that.

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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

Rapportive is simple and great at what it does. Plus I anticipate they'll probably add more features in the future.

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 user interface is very user-friendly and easy to navigate. The workflow is an easy thing to incorporate into your day-to-day as a sales person. It’s very rare that I come across a glitch or website slowness. The collaborative Aspect is also a plus when I am working with others on my sales team

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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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I have never used Their support

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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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LinkedIn Sales Navigators provides different services than most other products and has the unique ability to take advantage of LinkedIn's proprietary user data. That also comes with a drawback that the system is dependent on users to update their data in a timely and accurate manner in order to get the correct intel back to users. I'd recommend other products like Seamless.ai or MediaRadar for more accurate and updated contact information, but also to use LinkedIn Sales Navigator for Gmail for better market and company intel, timely pitching opportunities and seamless integration between Gmail and LinkedIn.

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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.

• Really lets me leverage my entire business network
• Empowers me to see the prospect's whole picture (who they know, where they went, what they do) and take advantage of that opening
• We have no other system like it, so it's irreplaceable for us

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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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