Bizintel360 vs. Tableau Server

-Scenarios where Bizintel360 is appropriate

When a team needs to analyze fairly big data sets from multiple sources, without having a dedicated IT infrastructure (ETL etc.) and when the teams members have little or no knowledge of coding languages and data analysis algorithms.

-Scenarios where Bizintel360 is less appropriate

When conversion tracking is required is E-commerce data analysis scenarios

When 2-Factor authentication is required by security-aware clients.

Incentivized

Whole funnel and specific channel performance from upper to lower funnel metrics. The ability to view full channel performance for some time, such as weekly, monthly, or quarterly, has truly been monumental in how my team optimizes specific channels and campaigns. Daily performance tracking is a bit overwhelming, with load times and having to refresh specific live views over time. It can be challenging to do so at times, as extensive dashboards take much longer to load.

Incentivized

• Process large amount of data at rather high speed
• Cloud based solution that required no coding
• The dashboard UI is very intuitive

Incentivized

• It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
• Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
• Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server

Incentivized

• The dashboard freezes sometimes when processing too much data
• Lack of Conversion Tracking when analyzing E-commerce data
• Lack of 2-factor authentication (security issue for some clients)

Incentivized

• Tableau Server has had some issue handling some of our larger data sets. Our extract refreshes fail intermittently with no obvious error that we can fix
• Tableau Server has been hard to work with before they launched their new Rest API, which is also a little tricky to work with

Incentivized

It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.

Incentivized

I think it is a great tool for teams that do not have access to a dedicated data analysis infrastructure, and/or do not have skilled human resources in that fields.

However there are E-commerce data analysis scenarios when Bizintel360 is not the best option (mainly conversion tracking), and the lack of 2-factor authentication might bring security issues with some clients.

Overall a very good tool for limited analysis scenarios.

Incentivized

Tableau Server takes training and experience in order to unlock the application's full potential. This is best handled by a qualified data scientist or data analytics manager. Tableau user interface layout, nomenclature, and command structure take time and training to become proficient with. Integration and connectivity require proper IT developer support.

Incentivized

Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues

While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.

The interface itself is very intuitive so we did not need much support when using it.

However the support team is very responsive and communicating by email was not an issue.

Incentivized

We have consistently had highly satisfactory results every time we've reached out for help. Our contractor, used for Tableau server maintenance and dashboard development is very technically skilled. When he hits a roadblock on how to do something with Tableau, the support staff have provided timely and useful guidance. He frequently compares it to Cognos and says that while Cognos has capabilities Tableau doesn't, the bottom line value for us is a no-brainer

Incentivized

In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.

The Tableau website is full of videos that you can follow at your own pace. As a very small company with a Tableau install, access to these free resources was incredibly useful to allowing me to implement Tableau to its potential in a reasonable and proportionate manner.

Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either

Google BigQuery is unbeatable in terms of processing power: it leverages Google infrastructure to process data without any limitation of data size or number of data sources. However the user interface is not intuitive, and most people need to undergo some kind of training from Google to be able to use it properly.

Bizintel360 is less performant in terms of processing power, but provides a very intuitive dashboard and beginner friendly functionalities making it very accessible and quick to master.

Incentivized

Today, if my shop is largely Microsoft-centric, I would be hard pressed to choose a product other than Power BI. Tableau was the visualization leader for years, but Microsoft has caught up with them in many areas, and surpassed them in some. Its ability to source, transform, and model data is superior to Tableau. Tableau still has the lead in some visualizations, but Power BI's rise is evidenced by its ever-increasing position in the leadership section of the Gartner Magic Quadrant.

Incentivized

• Give us the ability to analyze large data very quickly (Speed Gain)
• Cost reduction (no need to build a dedicated infrastructure)
• Improve client business KPI (not in very case though)
• The lack of 2-factor authentication can be an issue

Incentivized

• Tableau does take dedicated FTE to create and analyze the data. It's too complex (and powerful) a product not to have someone dedicated to developing with it.
• There are some significant setup for the server product.
• Once sever setup is complete, it's largely "fire and forget" until an update is necessary. The server update process is cumbersome.

Incentivized