Pipedrive vs. Tableau Desktop

Pipedrive is a fantastic tool to help monitor and track lead generation and referral sources. It helps maintain accountability with the sales team and helps ensure that we are doing appropriate marketing to maintain a steady influx of cases. The weekly and quarterly sales reports that it can generate are incredibly helpful and insightful. They help inform us of what we need to focus on each quarter/year.

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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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• Great visual visibility of the funnel plus easy to drag the deals across the stages
• The email integration that collects all relevant communication (also through the possibility of adding a deal-specific Pipedrive address on BCC)
• The integration with Pandadoc, which we use a lot, so that Pipedrive keeps a really handy overview of the documents we have sent out / which have been signed

• 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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• Showing the customers name on the pipeline page. Right now I can only get it to show the brand name twice. I wish it would replace the second brand name with the main point of contact.
• Better reporting tools. Their reporting tools are not easy to pick up. I've spent time trying to figure it out and it isn't something I can pick up on quickly.
• Better training options. I wish I had a personal trainer to walk me through the best way to use Pipedrive so I can get the most out of it.

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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

-2 for Its cost and +8 for the need of tracking of leads and monitoring of team.

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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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Pipedrive is easy to use and has a clean interface so we can follow up accurately. Its custom features help manage leads and evaluate team performance. It saves time and improves efficiency. Pipedrive is stable and supports integrations and automation.

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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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Between quick video tutorials and having very quick feedback from their support teams, it is one of the main reasons I would recommend Pipedrive. It is critical, especially when setting up the platform to meet your companies needs, that a solid support team like Pipedrive has is there to make the transition easier.

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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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Experiment is the only way to start

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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I much prefer the interface of Pipedive when compared to Zoho. Much more user friendly and the team is always readily available when we need them. Pipedrive allowed for many custom integrations to be added, as Zoho was a tad more complicated to manipulate. We would not go back to Zoho in any case.

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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.

• Great on setup which made our work easier and less technically equipped people can manage a lot of things(compared to SalesForce where you need to hire a developer to set it up)
• We were able to integrate our calling system easily and get things going on the lead calling aspect.
• Great multipipeline option where we were able to manage both organisations under one roof.

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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