Easy to Use Without Being Technical, But the Cost Feels High
What do you like best about the product?
you do not need tons of experience , you dont have to be so technical
What do you dislike about the product?
the cost is too high for us at this time
What problems is the product solving and how is that benefiting you?
not sure yet we are just dablling
Fast, User-Friendly Insights for Fraud Detection with ThoughtSpot
What do you like best about the product?
As a fraud analyst, what I like most about ThoughtSpot is how quickly it lets me explore large datasets, spot unusual patterns, and turn what I find into actionable insights in real time. I can do all of this without needing deep technical skills, which helps me respond to suspicious activity faster and more effectively.
What do you dislike about the product?
For a fraud analyst, the main downside of ThoughtSpot is that, although it’s great for getting quick insights, it can still require fairly complex data preparation. It may also become costly at scale, and it isn’t the best fit for very advanced predictive fraud modeling.
What problems is the product solving and how is that benefiting you?
ThoughtSpot addresses the challenge of slow, complex data analysis by enabling instant, self-service insights from large datasets. This helps me spot fraud patterns more quickly and make better-informed decisions in real time.
Thoughtspot’s AI-Powered Analytics and Spotter Shine
What do you like best about the product?
AI enabled Analytics is the best part of Thoughtspot. Spotter has been the best feature within the tool
What do you dislike about the product?
i believe costly BI tool compared to other BI tools
What problems is the product solving and how is that benefiting you?
Currently, it's helping me analyze the spootter credits utilization
Revolutionized Insights with Conversational AI
What do you like best about the product?
I really like the Conversational AI, Agentic features, and the Spotter functionality of ThoughtSpot. They provide additional insights and explanations, making the platform thorough, easy to access, and ubiquitous. The value comes in speed, clarity, and broader access to insights, as it reduces the friction between a business question and a usable answer. I appreciate how users can ask questions naturally, iterate quickly, and transition from data to action with less effort. I find Spotter particularly valuable as it goes beyond just information retrieval by explaining data, providing additional context, and guiding users to insights they might not think of on their own. ThoughtSpot becomes more than a reporting tool; it is a decision-support capability helping users interpret results, explore implications, and act confidently.
What do you dislike about the product?
There is clear value in ThoughtSpot, but the opportunity is in making advanced capabilities more consistently intuitive and dependable for everyday business users. At times, the experience can still require too much user interpretation, especially when moving from a question to a fully trusted, decision ready insight. Areas for improvement include making outputs more consistently context-aware, improving the precision and relevance of generated insights, and simplifying the experience so users can navigate advanced capabilities without needing significant enablement. In short, the platform is strongest when it reduces complexity. The more seamless, explainable and business-friendly the experience becomes, the more broadly and confidently it will be adopted.
What problems is the product solving and how is that benefiting you?
I use ThoughtSpot for quick, insightful data exploration through conversational AI and Spotter, which facilitates natural questions and provides thorough insights, reducing reliance on static dashboards and technical teams.
Empowers Self-Service Analytics with Speed
What do you like best about the product?
I love how ThoughtSpot is quick and enables us to democratize data, allowing more people to access it. It's fun to build with, and it offers many unique features. I appreciate the specific visuals we can create, such as heat maps and bar and line charts, which serve multiple purposes for our users. I find it very intuitive to use ThoughtSpot, making it easy to create quick answers with filters. I've learned to perform tasks rapidly and provide a lot of value with engaging visuals instead of just showing quick tables. People respond well to these visuals, which has been really helpful. Additionally, I enjoy ThoughtSpot for its ability to handle a vast amount of data and manipulate it, impressing everyone I have shown it to with how fast they can create reports and customize data.
What do you dislike about the product?
Sometimes, it does take a little bit of time to index the data when a new data model is created, and that is a little frustrating. So being able to get that indexing time down would be great.
What problems is the product solving and how is that benefiting you?
ThoughtSpot enables quick report creation and self-service data access, reducing back-and-forth on requirements. It democratizes data, allowing quick customizations, and users love the visuals and tabular download options. It's intuitive and lets us manage vast data effortlessly, impressing everyone with its speed and capability.
ThoughtSpot Democratizes Data with Web-Search Simplicity
What do you like best about the product?
I like ThoughtSpot best because it democratizes data—it turns every employee into an analyst by making data as easy to find as a web search.
What do you dislike about the product?
I don't have any specific reason why I dislike ThoughtSpot
What problems is the product solving and how is that benefiting you?
ThoughtSpot solves the 'latency' problem in fraud detection. By replacing slow, manual reporting with instant, AI-powered search, it allows risk teams to stay ahead of evolving threats and stop fraudulent transactions in real-time.
Self-service analytics has empowered teams and now drives faster data-driven decisions
What is our primary use case?
My name is Peter Chemo, a Financial Analyst at Nesto.
One of the major challenges that ThoughtSpot solves is reducing the dependency on data teams for reports and insights. ThoughtSpot also integrates well with modern data cloud platforms like Snowflake. This platform enables the creation of dynamic, interactive dashboards and visualization which helps track KPIs and provide insights into business performance. We are able to make data-driven decisions, know how our business is doing, and understand where to put more effort and where our clients are very happy about our business. ThoughtSpot empowers non-technical users to perform ad hoc data analysis. Users can use a Google-like search interface to query data and generate insights in real-time without relying on the data team.
We are able to gather data insights from different data sources and make our own data-driven decisions easily without even involving the data team. ThoughtSpot delivers performance at scale, ensuring that even the largest organization can quickly analyze and visualize data without needing a data team. I love the ability to seamlessly share live dashboards, foster collaboration, and ensure everyone in the organization is working from the same data source and aligned in decision-making.
ThoughtSpot allows us to create live boards that process quickly when it comes to large datasets. We are able to do a live data connection that gives us scalability to find insights that ultimately guide us in the strategic management of our data, whether it is engineering, marketing, product, or any department. Our teams are able to make their own data-driven decisions easily. This serves a wide array of use cases when the strategy is focused on product.
We gather data from different departments through ThoughtSpot, which enables us to collaborate and make data-driven decisions together.
What is most valuable?
I have an experience of four years using ThoughtSpot.
ThoughtSpot is very easy to use. Even non-technical users find it very easy to use and user-friendly.
Some of the best features ThoughtSpot offers are innovation, ease of use, and data analytics. Reporting development is also pretty easy, making complex formulas slightly easier. Additionally, dashboarding for non-technical people, easy search of data, ease of getting insights, AI-driven analytics, and the ability to easily build charts are highlights. ThoughtSpot also offers data connection with live data sources.
ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable. The AI-driven analytics capabilities in ThoughtSpot help to predict future outcomes and are very helpful in tracking data, and performance is great.
What needs improvement?
The customizability of the visualization live boards should be improved. Additional support for more data warehouse systems is needed, as data does not always match sometimes. Sophisticated data modeling features like AFC should be included.
For how long have I used the solution?
I have been working in my current field for five years.
What do I think about the stability of the solution?
ThoughtSpot is very stable.
What do I think about the scalability of the solution?
ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable.
How are customer service and support?
The customer support for ThoughtSpot is very proactive and supportive, available 24/7.
It was very easy for my team to learn and adopt ThoughtSpot since it has a very user-friendly interface. The customer support is proactive 24/7, so they are able to support both technical and non-technical users.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
We switched from Looker and Sisense before using ThoughtSpot.
I did not previously use a different solution before ThoughtSpot.
How was the initial setup?
The integration process with our existing data sources and tools is very seamless.
The performance of ThoughtSpot has been very fast, reliable, and consistent, even when handling huge amounts of data. I have not seen any crashes.
What was our ROI?
This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments. We can make data-driven decisions easily. ThoughtSpot is a very good tool because it does not usually take much time from the data team. We make our own decisions without even involving the data team, allowing them to save time and focus on more strategic projects.
What's my experience with pricing, setup cost, and licensing?
The pricing, setup cost, and licensing for ThoughtSpot are competitive, and it is a very user-friendly tool compared to its competitors. Setting it up was easy and straightforward.
Which other solutions did I evaluate?
Before choosing ThoughtSpot, I evaluated the Microsoft BI tool.
What other advice do I have?
If others want to be reliant on themselves and not on the data team, they should consider using ThoughtSpot. ThoughtSpot gathers insights from different data sources and allows for making their own data-driven decisions.
It is easy to make data-driven decisions with ThoughtSpot. Consequently, we are able to gather insights from different data sources, improving data security. Tracking and progress reports are simple to generate, and the speed of execution is commendable.
ThoughtSpot is very easy to use, cost-effective, and a very secure tool. I would rate this product an 8 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Steep Learning Curve, But Powerful
What do you like best about the product?
I find ThoughtSpot to be a great tool once you get used to using it. It helps me put data together in ways that make it easy for me to tell a story. I use it to gather and compare performance data.
What do you dislike about the product?
I think it's very difficult to learn how to use ThoughtSpot. It takes a long time to really learn it, and I'm still not even close to where I want to be proficiency-wise. The initial setup was confusing, though manageable.
What problems is the product solving and how is that benefiting you?
I use ThoughtSpot to gather and compare performance data, which allows me to easily put data together to tell a story.
Great for Search-Driven Analysts with Interactive Dashboards
What do you like best about the product?
It is good for search driven analysts,interactive dashboard,
What do you dislike about the product?
Expensive,limited customisation less control over visual design
What problems is the product solving and how is that benefiting you?
More people can find insight without deep technical skills
ThoughtSpot: Easy to Use, Clear Documentation, and Seamless AI Integration
What do you like best about the product?
What I like most about ThoughtSpot is its ease of use, the ability to build relationships within the data model, and its very clear documentation. It also offers a seamless integration of AI capabilities and a well-designed user interface that aligns closely with market needs.
What do you dislike about the product?
“ThoughtSpot is highly accessible to end users, so once the models are built correctly within the platform, the responsibility for operating reports and visualizations lies with the end users. You don’t need to be a BI developer to manage the system. This has saved the data and engineering teams significant time, allowing them to focus on deeper business analysis rather than report maintenance.”What I like less at the moment is that while the platform is very AI-focused, their agent isn’t as powerful as I would expect. It doesn’t fully learn user behavior as anticipated, even though it leverages the OpenAI engine.
What problems is the product solving and how is that benefiting you?
ThoughtSpot is highly accessible to end users, so once the models are built correctly within the platform, the responsibility for operating reports and visualizations lies with the end users. You don’t need to be a BI developer to manage the system. This has saved the data and engineering teams significant time, allowing them to focus on deeper business analysis rather than report maintenance.
