Sisense for Cloud Data Teams vs. Tableau Cloud

Sisense for Cloud Data Teams is suited so well for our project that works with lots of data and needs some ways to share data internally or externally with our clients. It's very easy to pull out the data from the sense in best and in a suitable format and moreover a huge number of options are available there to represent the data. All features of this Sisense for cloud data teams software can be taken advantage of if you have a team who are well versed in data analytics, data management, and programming.

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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.

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• Rapid deployment of polished T-SQL-based data visualization charts and dashboards. Periscope supports a variety of database technologies, and allows users to write custom queries to display data.
• Included caching to reduce server load.
• Outstanding customer service/support, with expert advice as needed.
• Constant updates and new features.
• Built-in SQL formatters take the pain out of manipulating date/time objects.

• 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.

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• Include more appropriate updates in their monthly newsletter as opposed to the general overview that doesn't always have the most pertinent information at the forefront.
• There are bugs at times when certain dashboards are down, though not in an overwhelming way.
• If you do not tag something it shows up in multiple views and may be accessible to people that it should not be, though that is a user error it may make sense to prompt for a tag and security setting.

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Independently Invited by TrustRadius

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• 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

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Independently Invited by TrustRadius

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If you know SQL or are somewhat data-savvy, you'll feel right at home with Sisense for Cloud Data Teams. However, like most other BI tools, it is a little challenging to use for users that are non-technical. The graphs and charts are very visually appealing, and there's lots of customization and export options.

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Independently Invited by TrustRadius

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Based on comments from our clients, I awarded it this grade. Non-technical customers frequently compliment us on the ease with which they can utilize Tableau Online. Usability is rarely a source of contention amongst our customers. Few complaints have come from me as a user of our internal products.

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The user interface is just amazing and it's really very easy to use and navigate, even for a newbie. Mostly it provides us the accurate data.

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I have not had any issues that require customer support from Tableau at this time, which speaks well to Tableau. I have taken an online course with Tableau and it was very professional and well done, so based on that I would assume a similar level of quality for their customer service.

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Google Analytics works well but it does not have all of the bells and whistles that Periscope Data offers. Google Analytics is best used in a Google environment but if you are using other tools and programs outside of the Google universe, then Periscope Data is a much better option.

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In determining whether to go with Tableau Online versus Alteryx, two important factors stood out in determining our go-to solution. First, while Alteryx is an impressive tool for data cleansing, it did not stack up in terms of data visualization capabilities. Tableau, on the other hand, provided us everything we needed in terms of visualizing our data and analytics. The second factor is cost. Well neither solution would be considered cheap, Tableau was the more cost effective solution for our needs.

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• Very positive - has allowed us to glean insights quickly and in real time.
• Definitely helpful for evaluating performance of accounts and employees.
• Versatile - we even use it with recruiting metrics, our software team uses it to test feature deployment.

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Independently Invited by TrustRadius

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• When we release new products, we are now able to quickly see data and toggle between current periods and previous to see performance
• Generating new reports requires less IT time to build
• Data can be shared across many different device types
• We now have integration where our customers can extract data from our software more easily-this was a big ask from our customers

Incentivized

Independently Invited by TrustRadius

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