People.ai vs. Tableau Desktop

I've been using People.ai for a bit now, and I've been consistently impressed. I use it to track how my team is doing, how my clients are doing, and how I'm doing. I can create custom dashboards with any metric I want to see. I can set goals, and they'll track my progress towards those goals. I can set up competitions between my team, and they'll tell me who's winning and who's losing. You can share these dashboards with your team, which means that everyone can see how everyone else is doing.

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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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• Their Deal Room presents times when you are multi-threaded, engaged with executives, and have an upcoming meeting scheduled rather than stalking your reps calendar and salesforce activities.
• They allow you to create areas performance dashboard with custom KPIs you want to measure

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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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• People.ai has a robust platform, however, this requires sales reps to log into one more platform and the People.ai platform is not customizable for selecting what can be viewed by users. If People.ai were to make the features in their platform available in Salesforce it would be a huge win for leveraging the data they aggregate. Hoping an API will soon be on the Roadmap
• Time Spent. People.ai uses some logic to attribute values on the "time spent" on the activities being captured. They did improve their meeting aggregations so that they were not "double counting" time when multiple meetings were booked in the same time slot for a rep. Email time spent still seems to have some errors as the time spent on emails can show in excess of the weekly working hours of the reps.

• 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

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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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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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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The easiest comparison would be to email automation vendors like a SalesLoft, Outreach, or Groove. But People.ai doesn't have a template email send like a sequence or cadence feature you would find with them. It is more of a compliment to the email automation vendors than a competitor in my opinion. We want our SDRs to have the ability run sizable outbound campaigns so they still use Outreach. However, we deactivated the Outreach activity sync and run activity syncing through People.ai. If someone gets added into the email CC, People.ai will grab that person and create them as a contact against the matching Salesforce account. For our Sales reps, we want them to have the ability to track opens, link clicks, and send templated emails so we have them use Groove. Again, we deactivated the Salesforce sync and use People.ai syncing. This is a great way to automate the pain away from creating Opportunity Contact Roles and create all relevant contacts in Salesforce from CC's on emails to people added last minute on a calendar invite. My favorite part is how it ingests data directly from Google and doesn't allow a Sales Rep to not to sync an activity to Salesforce, it happens automagically

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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 back for the whole team. We don't log calls anymore, we just work.
• Great insight into who on your team may be wasting time with low-impact customers. This is near impossible to measure without this tool.
• Marketing data is always current so we email the right people vs relying on my teams (Sales, Marketing, anyone) to be data stewards.

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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