What is most valuable?
For both Tableau Public and Desktop, the ability to quickly pull together data sources into a meaningful (visual) display. Also, the intuitive design and ability to work with increasingly large and real-time data sets.
How has it helped my organization?
Mostly, I focus on the management and operational reporting aspects, enabling businesses to make better decisions at all levels through improved access to data.
What needs improvement?
It's hard to say right now but I can see challenges ahead as the market share and common standards become an issue - if the goal is to replace Excel, then it will be a winner-takes-all type of battle. For clients this may make them delay purchase and adoption.
For how long have I used the solution?
I've used it for around eight months. My hands-on experience is mainly Tableau Public and Desktop trials. Project experience working with people who are expert in Tableau and Alteryx.
What was my experience with deployment of the solution?
Tableau Public crashes on opening on my iMac. So far the web-based tools have worked very well.
What do I think about the stability of the solution?
Tableau Public crashes on opening on my iMac. So far the web-based tools have worked very well.
What do I think about the scalability of the solution?
Not encountered any so far, but this appears to be one of their big selling points.
How are customer service and technical support?
Customer Service:
So far, very proactive. They have a lot of good training resources available online and very fast response from sales team.
Technical Support:
It's been very good so far.
Which solution did I use previously and why did I switch?
At my last company I tried to encourage the IT team to adopt these tools, but they were very focused on developing everything themselves. This turned out to be quite an expensive error and I would encourage companies - even those with their own in-house analyst teams - to consider using these tools as a way to quickly build models. They should only consider building models themselves if they know they have a product and solution that justifies it.
How was the initial setup?
So far it's been very easy but I think a large enterprise would need to consider widespread adoption quite carefully so it aligns to the overall IT road-map.
What about the implementation team?
We used a vendor team. What was useful about this in the examples I’ve seen is their ability to demonstrate "quick wins” to get support for wider deployment, and then to train key staff around the organisation to increase the pace of adoption.
What was our ROI?
I’d expect it to pay back within a year if the avoided costs of existing IT platform upgrades is included.
Which other solutions did I evaluate?
We are currently in the evaluation process.
What other advice do I have?
Get some help to evaluate the options and identify the opportunities, find a test case to demonstrate the benefits, engage the IT team early.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Another good tool to look at is Yellowfin BI. Runs beautifully on an iMac