One Stop solution for all analytical needs
What do you like best about the product?
Ease of use
Ease of Implementation and Maintenance
Simplified UI
Capable of handling a complex structure
Ease of Integration with other apps
What do you dislike about the product?
Not much in general. As my org data has more than 20M records to summarize from transactional data, it takes more time and consume space.
What problems is the product solving and how is that benefiting you?
We have a complex strcuture of more than 300 companies spanning across 15 different ERPs. Gathering supplier invoices information across all companies was a tedicuos task to perform SOA reconcilaition to respond to supplier queries. That's when the project team heard about Tableau Analytics and started with a POC. To our surprise, data consoldiation was seamless, if required at a click of a button, users are able to access trasnactional data as well.
We see a drastic improvement in TAT & improved productivity by 20% resulting in $500K hard saving.
I use Tableau to create various data dashboards for our company.
What do you like best about the product?
It can create interactive data for my audience.
What do you dislike about the product?
Not easy to change the location where we save files.
What problems is the product solving and how is that benefiting you?
It allows us to show map data and provide our audiences with interesting and insightful charts.
regular use tool for data querying
What do you like best about the product?
Tableau allows our team to create custom databases on key customer information, pulling key information for customer QBRs, usage data and a range of key metrics to understand customer behaviour
What do you dislike about the product?
hard to setup reports without experience
What problems is the product solving and how is that benefiting you?
Tableau gives us excellent views on multiple key metrics we use as CSMs, usage data, user data, revenue tracking, YoY data, product data and so much more! it really helps us understand customer behaviour, spot opportunities and drive relevant conversations
Simple and effective
What do you like best about the product?
I like how simple it is to search and find the document you need to create spreadsheets
What do you dislike about the product?
I haven't had any issues so far that were related to Tableau itself.
What problems is the product solving and how is that benefiting you?
Helps to view older online account access details to better prevent fraud
Powerful and user-friendly tool for visualizing data effectively
What do you like best about the product?
Tableau makes it easy to create interactive dashboards with just a few clicks.
It connects seamlessly with various data sources like Excel, databases, and cloud apps like Salesforce, AWS, GCP, Microsoft Azure, etc.
The drag-and-drop interface is very natural even for beginners, and its data visualization capabilities are among the best.
What do you dislike about the product?
Tableau can get expensive, especially for small businesses or individual users.
What problems is the product solving and how is that benefiting you?
Tableau helps transform raw data into meaningful insights quickly and interactively.
It solves the problem of manual reporting and static Excel charts by offering dynamic dashboards that update in real-time.
Powerful Visual Analytics Tool
What do you like best about the product?
Tableau is one of the best tools out there when it comes to visualizing and working with data. It's really easy to use and visualize data in different formats. One of the things we like most is how easily it connects to different data sources, whether it’s an Excel sheet, a database, or cloud platforms. Its helping us for our day to day operations
What do you dislike about the product?
The major dislike is the cost—licenses are so expensive, and a startup company can't afford more licenses due to the high cost. Also, in some areas they have limited customization
What problems is the product solving and how is that benefiting you?
Tableau helps solve one of the biggest challenges we face—turning raw data into something understandable and actionable. Before Tableau, we relied heavily on Excel sheets that were hard to maintain, slow to update, and didn’t give a full picture. Now, with Tableau, everything is easy.
Performance Dashboard Overview
What do you like best about the product?
You can pull a comprehensive set of agent metrics into one place—performance, solved rate, star ratings, SPH, etc.—without needing to chase it down in separate tools. The ability to export to Excel gives you control to slice and analyze the data how you want—even if it’s frustrating at times. You’re likely managing a lot of agents, and Tableau can handle large data sets, even if it’s not real-time. It's built for big-picture views across the team.
What do you dislike about the product?
Data lags behind, which means you can’t act on issues immediately. By the time agents see results (if they do), the moment to improve may have already passed. Even though you can export data easily, you have to spend time editing it in Excel—filtering, cleaning, formatting—just to make it usable. This defeats the point of an automated tool and adds to your workload. If data sources aren’t perfectly maintained, the dashboard can break or display errors, leaving you stuck or reliant on another team to fix it.
What problems is the product solving and how is that benefiting you?
Problem: Agent performance data lives in multiple systems (e.g., Medallia, CRM, internal platforms).
Solution: Tableau consolidates this data into one centralized view, so you're not wasting time digging through systems.
Problem: Raw numbers in spreadsheets are hard to interpret and communicate.
Solution: Tableau turns metrics into graphs, charts, and dashboards, making trends and outliers easy to see.
Problem: Creating recurring reports from scratch is time-consuming.
Solution: Tableau lets you build repeatable dashboards that update on a schedule or refresh with new data.
An elaborate tool for data visualization.
What do you like best about the product?
1. Unlike PowerBI's DAX , tableau's fomula language is a bit easier to construct and understand.
2. Large data are easily managed by tabealu where as powerbi might struggle with large quantum of data.
3. Visulization variety is more, one can develop visually intuitive visulization/ dashboards.
4. Documentation is extensive for the software and the tableau community is strong, any doubts can be clarified easily.
5. Can be used easily for Daily management system.
What do you dislike about the product?
1. There is learning curve to learn the tool
2. Unlike PowerBI integration in the Microsoft 365 environment, Tableau's integration in other software is limited (in fact in most cases it is null)
3. Tableau Liscence is expesive, I only learn Tableau bacause my organization wanted to use Tabelau.
What problems is the product solving and how is that benefiting you?
1. Tableau helps in simplifying complex data through interactive dashboards and visuals that makes patterns the trend easy to see.
2. Real time data analysis and dynamic dashboard are biggest advantages of the tool.
3. Faster decision for problems, since management can see the latest data and trend.
View real time data anywhere
What do you like best about the product?
Tableau allows management to view real time data anywhere and data is presented in great organizations.
What do you dislike about the product?
If the souce data has issues, dashboard may produce inaccurate data.
What problems is the product solving and how is that benefiting you?
It summarize data from different sources in one location and easy for management to view and make decisions.
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
What is our primary use case?
We have implemented Tableau for visualization, and that experience has been good, as we have been using Azure AI Foundry rigorously since the last two months, which has also been a good experience. I think that it's a new service that they launched roughly a year back.
We have been using Tableau for the last eight to nine years, and that is a good solution. The experience has been good; though, customization is not so easy. By customization, I mean, for example, we are thinking of introducing an NLP-based feature, exposing a REST API into the solution, and that sort of thing is not easily done. Otherwise, as far as the BI tool is concerned, Tableau is quite good.
What is most valuable?
Tableau is quite easy to develop dashboards with, and the range of dashboards is good. The drag-and-drop features are also quite good.
Tableau is quite scalable; on a scale of one to ten, it would rate as a ten for scalability.
Tableau's stability is highly stable, and it would rate at a nine.
What needs improvement?
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task.
AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher.
ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.
For how long have I used the solution?
We have been using Tableau for the last eight to nine years.
How are customer service and support?
I would rate Tableau's technical support as good, rating it at a nine.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I have had experiences working with IBM SPSS Modeler, which is IBM PASW, but it wouldn't be relevant feedback because they offered it for free, and it was end of life. The IBM PASW was outdated around five years back, so we shifted to Python-based solutions, open source.
It was a fine solution, but since things in this field in AI/ML are constantly changing, my experience with IBM PASW, where SPSS Modeler was the major component, wasn't so great. The product is outdated, and they have removed it from their suite of software offerings.
How was the initial setup?
The initial setup of Tableau was easy; it wasn't difficult at all.
What about the implementation team?
Initially, we got Tableau through a reseller, and the deployment was done by that third party. Later on, we took the deployment in-house, and most of our subsequent deployments were done internally.
What was our ROI?
It's very difficult to calculate an ROI for these sorts of initiatives because you cannot directly convert it into manpower savings or similar metrics. However, we have performed some cost-benefit analysis, and we derive benefits from Tableau primarily in terms of data and dashboards being made available for respective views throughout the organization. While ROI calculation is slightly difficult because you cannot associate revenue with certain dashboarding activities, we assess some cost benefits.
What's my experience with pricing, setup cost, and licensing?
The pricing of Tableau is on the higher side compared to other competitors, such as QlikView or Microsoft Power BI.
Which other solutions did I evaluate?
An important point is that you can easily find resources who have worked on Tableau, but with ThoughtSpot, finding a resource with that experience might be difficult.
What other advice do I have?
As far as dashboarding and connecting to various databases are concerned, Tableau is quite good. I rate this solution an eight out of ten.
Which deployment model are you using for this solution?
On-premises
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
