Yes, Tableau can make you feel "Tab - Blue" At Times
Overall Satisfaction with Tableau Server
Overall Tableau Server Rating
- Some additional details on the Tableau project I worked on at Southern California Edison (SCE):
During implementation, I was heavily involved with the Tableau consultants, stakeholders, and project managers to make sure that all requirements were met. I did testing myself and signed off on testing that others did. I provided my manager with constant feedback on our progress. We were able to get Tableau installed in one month based on a very aggressive deadline set by management. During this phase, I spent countless hours side by side with Tableau consultants to describe the performance issues we were facing at the time. Here are two of the main hurdles we faced during implementation: One of the main issues we faced was the use of Custom SQL to build our visualizations. Because the roles within my team were highly segmented, we preferred using Custom SQL vs. connecting live to the data. The reason for this is because I was tasked with building the visual. I was not tasked with building the query. The DBA I worked with would hand me the query and I would build the visual from there (creating the necessary calculated fields and formatting the data). Tableau advises its clients against the use of Custom SQL for performance reasons. In addition to performance, there are other drawbacks. We would notice that certain functions in the SQL statements themselves would not get translated correctly into Tableau’s Native SQL (there are workarounds for this). This issue was starkly apparent when connecting to Teradata. Towards the end of my role at SCE, I was working daily on improving the connection to Teradata. Before I left, I was able to take certain reports built in Business Objects and build them in Tableau (but this was only accomplished when connecting live to the data). Another issue was refreshing certain dashboards that were meant to run 24/7. Tableau has the capability to refresh the data behind the visual as frequenly as every 5 minutes (I believe). But that refresh does not update the visual. In order for the refreshed query to update the visual, you are required to force the browser to update on an interval of your choosing. It is only with this combination that you can come close to seeing what is happening in real time. The workaround for this issue was to create an .html file that had the URL of the dashboard, which was published to Tableau server embedded in it. From here, you simply double click on the .html file and you would have your dashboard updating both the data (handled by Tableau Server) and the visual (handled by the browser).
Here is a list of the data sources that I would connect to when building visualizations:
1. MS SQL Server
3. MS Excel
5. MS Access
Data Blending – There were several instances where business requirements made it necessary to join data from two separate data sources (i.e. - MS SQL Server and Oracle or MS SQL Server and MS Excel). Tableau has an intuitive capability to recognize a data blend. This will be indicated by the use of the link icon next to the primary data source (it looks like an infinity sign). The ability to blend data together was very appealing in the conceptual sense. But there are limitations on the number of rows that you can blend together (I noticed a significant deterioration in performance after 100k rows). This seemed to always be our problem at the SmartConnect Operations Center. We would relentlessly push Tableau’s performance only to find out that our local machine didn’t have the RAM necessary to do what we wanted or that Tableau was not intended for that specific application. Regardless, I learned a tremendous amount about how the application behaves in different scenarios.
Incremental Refresh – Sometimes it can be useful to use a Tableau generated extract. This is essentially a mini-Tableau database. My manager tasked me with building a report that would store historical data. The purpose of this report was to keep a running total of certain events in the network. The benefit of this report would be that it would automate a manual process that the end users were responsible for on a daily basis. Prior to the implementation of this new report, the end users were tracking the historical data using MS Excel. The challenge I faced was to find a way to store data from the daily query results. Because the original data source did not store historical data, it was necessary for me to take advantage of the “Incremental refresh” option available in Tableau. I do not advocate this method if the daily query results are on the scale of several hundred records of greater. This solution was feasible because the number of records were less than 100 per day. In addition, I worked with the end users and their team lead to create a backup method to get to the final row count in the instance that the Incremental Refresh option failed.
Experience with Teradata – SCE’s 5 million meter network produces around 15 million records per day in just one its tables. The data warehouse team built a set of views that could be accessed within the Teradata schema. After several attempts to connect to Teradata (unsuccessfully) using Custom SQL, I worked with both Tableau’s technical staff and SCE’s DW team to diagnose the problem. We spent multiple WebEx sessions documenting application behavior under various scenarios. Initially, my thoughts were that the problem was that the client application was trying to connect to a View versus a hard coded table. But Tableau assured me that the client application has no problem connecting to views. In this instance, the workaround was to connect live to the data. This worked on certain tables (with several joins in place) but not all. Finally, I was able to re-build a few reports taken from Business Objects. In order to do this, I extracted the SQL from the BO reports and then connected live to the same tables. The result was a visual that came very close to what was found in BO. The report reflected data that was aggregated in the form of a percentage. The percentage represented the performance of a particular district over a time interval (i.e. – 98.99% over a 3 day period).
Integration with ArcMap – The SmartConnect Operations Center’s business requirements made it necessary for me to find ways to enhance the mapping capability within Tableau. The default background map that is offered by Tableau falls short in the areas of zooming and satellite imagery rendering. Therefore, Tableau offers its users the ability to connect to a geospatial (WMS) server. To Tableau’s credit, the steps and information needed to connect to a WMS server are very simple. If you have the URL of the WMS, then you can connect to the server. In my experience, the biggest problem with using the layers from various WMS servers is in the rendering of the image. If your application requires a certain level of detail and/or the ability to zoom in to a certain extent, you may find that the static image stops rendering at a certain zoom level. In the SOC’s application, it was necessary to validate the latitude and longitude of meters in the field and their proximity to other meters (aka – the “mesh” network in wireless meter terminology) by visual inspection. When I left the SOC, I was in high-level discussions between Tableau’s technical team and SCE’s GIS team regarding the rendering of the different layers available through SCE’s internal WMS servers.
What Tableau Server does well
Where Tableau Server could improve
- Not a one stop shop for summarizing large data sets (>1 million rows).
- Does not work well with Teradata (in my experience). There was a host of connectivity issues that were logged by Tableau support as bugs/defects that were going to be addressed.
- Performance is solely based on the amount of RAM your individual machine running the client app has (I would regularly see the Out of Memory error when trying to connect to Teradata).
- Requires customization in order to force a refresh of the the webpage when publishing the dashboard on Tableau Server (data refreshes in the background but webpage does not update at the same time).
ROI on Tableau Server purchase
Using Tableau Server
Key Tableau Server Use Cases
- Allows analysts and managers to get a near real-time reading on the health of a wireless network of millions of devices.
- Allows for creation of dashboards that provide analysis from a geospatial and a performance view.
- Serves as a way to store data historically (using a Tableau generated extract) when your source system does not store data historically.
Evaluating Tableau Server and Competitors
Products Replaced by Tableau Server
Tableau Server Implementation Rating and Lessons
Tableau Server Implementation Details / Implementation Partner
There was a third party consulting firm that handled the project management aspect of the Tableau implementation. We got it installed in a month. I don't think you need a third party to install this tool. It's like having monkey in the middle. I was the main point of contact for Edison during the installation and I worked directly with the Tableau folks to get Tableau Server set up. The professional services company just relayed messages back and forth and added an extra layer of communication that wasn't necessary.
- Vendor implemented
- Professional services company
Tableau Server Training
Configuring Tableau Server
Additional Tableau Server Customization
- 1. We needed the view and data to be refreshed in synch on a key dashboard, hence the .html file
2. The default maps that come with Tableau desktop did not offer the level of detail we needed in order to do our analysis and therefore needed to connect to our own maps using a WMS server. This was another area that had some issues that we were in talks about when I left.
Tableau Server Support
Using Tableau Server
Tableau Server Reliability
Integrating Tableau Server
Future Tableau Server Integration Plans
Relationship with Tableau
Tableau Pre-Sale Rating
- The vendor went the extra mile for us during the sales process. They continuously extended my trial version in order to allow me to keep building dashboards and reports for our dept.
Post Sales was different - They were still attentive to our needs via email (mainly) but it took much longer to get their attention and get resolution on issues we were facing with the tool.
Key Negotiation Points