I had some experience with ThoughtSpot. It was a very limited use case, as I was just a part of a POC, so I cannot really comment.
ThoughtSpot AI-Powered Analytics
ThoughtSpotExternal reviews
External reviews are not included in the AWS star rating for the product.
Effortless Data Search and Real-Time Insights with ThoughtSpot
Instant Insights and Scalable Analytics with ThoughtSpot
The software has embedded AI in it’s features, and this assists us get suitable insights concerning trends and any anomalies
The program is designed to help us expand business opportunities and create a resourceful self service portal, and it offers robust answers
ThoughtSpot is scalable, with embedded capabilities that helps in analytics and ensures easy business workflows
The app has solid governance support, and this foster data modeling and analytics
Data modeling for complex data is tricky and difficult to navigate
The decisions we make are significantly facilitated by ThoughtSpot, creating an automated insight that is data supported and accessible
The embedded analytics is something that facilitates the analysis that we consistently deliver in our company
All large databases are magnificently accessible and supported by ThoughtSpot, by providing a data warehouse that is secure and accessible
We capture even the hidden insights from this app, where we capture patterns and identify any anomalies
ThoughtSpot: Powerful Analytics, Real-Time Insights, and Effortless Collaboration
It offers great AI features as well as real-time analytics to ensure efficiency and speed.
I like the data accuracy and the collaboration aspects where everyone has a centralized point to access business data.
Beside simplifying complex business data, then tool also makes visualization and diagramming easy.
Boosts Productivity and Makes Analytics Easy, But Requires Training
I like the AI search features as well as ease of democratizing data for easy and faster access.
The tool streamlines workflows while boosting productivity thanks to the self-service model.
With the tool, our business has greatly saved on costs and this has driven our revenue to new heights.
Has supported seamless dashboard collaboration and large data handling while offering room to lower certification costs
What is our primary use case?
What is most valuable?
Different BI tools have their strengths and weaknesses. If you take Tableau, it has very adjustability. You can make any kinds of dashboards in Tableau, and you can do many things. If you take Power BI, it has a good background of Microsoft helping it with its Microsoft services. So, different tools have different plus points. The point which I found to be a strength point for Domo was collaboration while building dashboards and pipelines, and the volume of data it used to handle. Domo has its own place in the market, but I would suggest the certification costs and the pricing for clients needs to be reduced a little. Otherwise, it's a good tool.
It's very consumer-friendly, and it adopted the GenAI features very quickly. I would measure Domo and ThoughtSpot on a similar scale, so there's a limited difference.
When researching new data, you need some machine which helps us scout through the entire data and give us basic insights. It takes very little time for us to gauge the kind of data it is, its nature, quality, and makes quality check and governance easy. Testing becomes easy, and if I have some questions for ad-hoc analysis, that becomes easy on ThoughtSpot, so that is very handy in those areas. It's not actually developed for developers; it is developed more for a middle to senior level, considering the conversational AI features.
I have used that feature, and that was very handy, but in an actual case scenario, you would not use that too much because you don't know the kind of formulas which have been used in the background. There are chances that it might hallucinate or build some different formulas than what you are expecting as a developer. Although it's a very nice feature to have, I don't think that is something which can survive alone.
What needs improvement?
There should be a free version of it for people to learn easily so that they get adapted easily and get used to supporting the Domo community, which is something very important.
The certification costs and the pricing for clients needs to be reduced a little.
You need to have someone working on the back end.
For how long have I used the solution?
I have been working in this field for close to four and a half years.
What do I think about the stability of the solution?
It is stable.
What do I think about the scalability of the solution?
I'm not sure about its scalability; I have no real-time experience on that.
How are customer service and support?
I did not actually reach out much to the Domo support, but a few seniors of mine who reached out found it satisfactory.
They had a good experience with Domo.
We can rate them 9 or 10 for their support, and we never had any complaints.
ThoughtSpot customer service is slightly slower than what I expected. I had reached out to them for some reason, and there was a slight delay. I got a response from them maybe two weeks later, but they resolved my issue the moment they got back to it.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
This was just a POC, and I never sold or tried selling ThoughtSpot to anyone, although I tried selling Domo.
How was the initial setup?
It's straightforward. I did my architect certification in ThoughtSpot, and it's straightforward to set up and work on it.
I have done my certification, so I know that there is an on-prem version of it. I did the cloud one, the cloud architect one, so it is pretty straightforward, and it's basically plug-and-play.
Which other solutions did I evaluate?
Different BI tools have their strengths and weaknesses. If you take Tableau, it has very adjustability. You can make any kinds of dashboards in Tableau, and you can do many things. If you take Power BI, it has a good background of Microsoft helping it with its Microsoft services. So, different tools have different plus points.
What other advice do I have?
It's okay to use the company name GoodRx.
I recently moved into data engineering, but prior to this, I was a senior analyst at blend360.com.
I did not do a real-time case on predictive analysis on ThoughtSpot, so I cannot give you a right answer.
Domo features I have not really been exposed to, so I cannot comment on Domo. ThoughtSpot is good for scouting and learning, but that cannot be used as a base for production items. So, I cannot really compare on that scale.
It's not the best for ThoughtSpot.
I rate ThoughtSpot a six out of ten.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
ThoughtSpot: Empowering Everyone with Intuitive, AI-Driven Data Analytics
Very chaotic, hard to mantain
Thought spot is a good app for data analysis and visualization
Natural language processing enables quick insights without analyst intervention
What is our primary use case?
Clients use ThoughtSpot because of its search facility. It is easy for searching and does not require analysts to provide reports. There is no drill-down path on the data, so users can drill data anywhere and get answers. It has agentic AI built in with natural language processing.
It is very self-service and includes natural language search capability.
What is most valuable?
I think it is a game changer this year. They have implemented something called Spotter, which provides the end user with a Google-style analytics solution to deliver quick insights without extensive training or requiring an analyst for reports.
They work with Microsoft and AWS.
What needs improvement?
I do not think there is anything that needs improvement at the moment. It is being improved continuously. They are connecting to many AI-type tools. Their pricing has recently changed to be more price-conscious.
From the implementation perspective, it could possibly be a bit more streamlined.
For how long have I used the solution?
Eight years.
What do I think about the stability of the solution?
It is absolutely stable.
What do I think about the scalability of the solution?
ThoughtSpot is absolutely a scalable solution.
How are customer service and support?
Technical support of ThoughtSpot rates at an eight. Because we manage our customers, we solve any problems that come to us in the first instance, and then we triage the calls. If anything needs to go to ThoughtSpot, then it goes over to them.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is medium in complexity. As an implementer of ThoughtSpot, modeling capabilities are required to get ThoughtSpot operational. We build some live boards for the customer so they can get started with it. Then we hand it over to the customer to continue and administer the platform as they see fit.
What was our ROI?
The return on investment is demonstrated through time savings and speed to insights.
What other advice do I have?
I have not personally encountered any issues as I do not perform the implementations, but there could be some. I speak from a customer and sales perspective.
On a scale of 1-10, this solution rates a 10.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
User-friendly interface empowers non-technical users with interactive visualizations and smart data discovery
What is our primary use case?
ThoughtSpot is an AI-powered analytics platform that enables users to search, analyze, and visualize data easily. Here are some primary use cases for ThoughtSpot:
Primary Use Cases
1. *Self-Service Analytics*: ThoughtSpot allows business users to ask questions and get answers from data without relying on IT or data scientists.
2. *Ad-hoc Analysis*: Users can perform ad-hoc analysis on data to answer specific business questions.
3. *Data Exploration*: ThoughtSpot enables users to explore data, identify trends, and gain insights.
4. *Data Visualization*: Users can create interactive dashboards and reports to visualize data and share insights with others.
Environment
ThoughtSpot is typically used in environments where data-driven decision-making is critical, such as:
1. *Business Intelligence*: ThoughtSpot is used in business intelligence to provide users with easy access to data insights.
2. *Data Analytics*: ThoughtSpot is used in data analytics to enable users to analyze and visualize data.
3. *Enterprise Data Warehousing*: ThoughtSpot can be integrated with enterprise data warehouses to provide users with access to large datasets.
Overall, ThoughtSpot is a powerful analytics platform that enables users to gain insights from data and make informed decisions.
How has it helped my organization?
ThoughtSpot has significantly improved various organizations by providing self-service analytics, enabling employees to independently explore data and generate insights. Here are some key benefits:
- *Increased Efficiency*: ThoughtSpot reduces report requests and saves time for data analysts, allowing them to focus on high-level strategic tasks. For instance, Matillion reduced report requests by 80% and saved over £75,000 annually.
- *Data-Driven Decision Making*: ThoughtSpot empowers businesses to make informed decisions by providing real-time data insights. Austin Capital Bank implemented ThoughtSpot to enable fast, self-service analytics using natural language queries, cutting data turnaround times to under 24 hours.
- *Improved Productivity*: ThoughtSpot's platform allows users to ask questions, analyze data, and build reports in seconds, without requiring extensive training or technical knowledge. This leads to improved productivity, enabling data analysts and developers to complete projects faster.
- *Enhanced Collaboration*: ThoughtSpot facilitates collaboration by providing a centralized analytics hub for clients, employees, vendors, and partners. Its seamless integration with modern data stacks ensures that businesses can efficiently analyze and derive insights from their data.
- *Cost Savings*: ThoughtSpot's automation capabilities and reduced reliance on IT teams lead to cost savings. For example, Odido estimated saving around €1 million annually by freeing up data analyst time and reducing outsourced IT costs
.
What is most valuable?
The features I find best about ThoughtSpot include the ability to explore and comprehend data through smart data discovery. When dealing with answers in ThoughtSpot, it provided a smart function to search, as well as accessing interactive data visualizations and developing bespoke data applications to address unique needs.
I also use the natural language processing feature in ThoughtSpot, which helps reduce bottlenecks, improves decision-making, and elevates different digital experiences. I have used NLP during data analysis in ThoughtSpot and when interacting with chatbots and virtual assistants.
The support team of ThoughtSpot is excellent. When I dealt with issues regarding the creation of answers in Liveboards, I used the ThoughtSpot chatbot, which provided solutions for additional calculations and TML for Liveboards.
What needs improvement?
One of the challenges I faced with ThoughtSpot is that when the team provides the TML language of every object, such as when I was creating a worksheet, it was not giving full information about which area to debug for the TML side. It also has a steep learning curve along with some UI complexities.
Regarding ThoughtSpot's pricing, I didn't have to pay anything since the public version provided all necessary features for me. However, I think when considering the user-based plan, which is around $1000 per month, it is a bit costly and could be cheaper.
For how long have I used the solution?
I have been using ThoughtSpot for the last three years.
What other advice do I have?
I am a user of ThoughtSpot and I'm using ThoughtSpot in my current project.
After using ThoughtSpot, I find it very good compared to Tableau. I rate ThoughtSpot nine out of ten.
I would definitely recommend ThoughtSpot to others if there's a requirement for using this tool.