Causal vs. Tableau Cloud

Definitely suited best for B2B / B2B2C product modelling. We used this for B2B / B2B2C / C2C and the C2C side of things was always more complex to model out due to this being dependent on marketing spend (CAC) and factors around virality which really cannot be forecasted (not a shortcoming of Causal, just implied by the mechanics of modelling)

Incentivized

If you're using Tableau as the primary BI tool, then Tableau Cloud is well suited to publish and share the results with a wide(r) audience. It is well suited for various degrees of self-service proficiency, from pure consumers of analytical work to more advanced users who can use web editing for smaller or larger adjustments, and even for desktop power users who will publish their work to Tableau Cloud. It has many good ways to organize the content and make it easily accessible via search, favorites, folders, collections ("playlists for your data"), or history ("recents"). It might not be ideally suited if there are many on-prem sources to be used (even though there are options to connect them) or if you have very special requirements regarding custom server setup, which is limited in a shared cloud environment like Tableau Cloud.

Incentivized

• Tableau Online is completely cloud based and that's why the reports and dashboards are accessible even on the go. One doesn't always need to access the office laptop to access the reports.
• The visualizations are interactive and one can quickly change the level at which they want to view the information. For example, one person might be more interested in looking at the country level performances rather than client level. This is intuitive and one doesn't need to create multiple reports for the same.
• The feature to ask questions in plain vanilla English language is great and helpful. For quick adhoc fact checks one can simply type what they are looking for and the Natural Language Programming algorithms under the hood parse the query, interpret it and then fetch the results accordingly in a visual form.

Incentivized

• Can be a steep learning curve for new users
• Modeling and building algorithms aren't always intuitive and take some testing/retesting to ensure it's working as it should
• Inability to integrate easily with our HRIS platform. Reports are pulled from HRIS at various intervals and uploaded into Tableau

Incentivized

From an end user perspective Tableau Online is overall very easy to navigate once you get used to it, my only complaint is that when expanding or contracting a graph, the "plus" and "minus" on the bottom left is sometimes hidden, and should always be visible. From a builder perspective, it can take some getting used to but the sheer depth of customization makes it all worthwhile.

Incentivized

I have no had a lot of experience with the support team, but I know that it’s hardly necessary for the end-user to contact. Usually, the main questions I get are on how to read a certain dashboard or how to navigate to a certain place. Overall, the simplicity of the software is what helps out with less need for support.

Incentivized

When weighing the pros and cons of Tableau Online vs. SAP ERP, two key considerations emerged as clear winners. SAP ERP is a powerful data purification tool, but it doesn't measure up to the competition in terms of data presentation. When it came to data visualization and analytics, Tableau was our go-to tool. The price is the second consideration. Tableau, on the other hand, was the more cost-effective option for our requirements.

Incentivized

• No need to hire a team of developers to deliver our product, a huge cost savings for a start up company.
• The ability to work off data extracts allows us to "set in and forget it" so to speak, which allows our customers to use the system during business hours with almost no cost in terms of database usage.
• It has been a great internal tool for dashboarding company metrics and helping us track goals and implement solutions to meet those goals through efficient data analysis.

Incentivized