ThoughtSpot AI Powered Analytics Enterprise Edition

What do you like best about the product?

Bridg iDR data is inherently complex because it stitches together SKU-level transaction history, offline behaviors, and enriched demographic data fields. ThoughtSpot allows business leaders, marketers, and regional managers to simply type questions like "Show me the top 5 lifestyle attributes of customers buying item X who aren't on our loyalty program" without waiting on a data engineering queue

What do you dislike about the product?

ThoughtSpot queries data directly where it lives (typically high-performance cloud data warehouses like Snowflake, BigQuery, or AWS). Because Bridg uncovers massive volumes of non-loyalty transaction data, heavy ad-hoc querying from business users can quickly scale up cloud compute costs if query optimization and caching parameters aren't managed tightly.

What problems is the product solving and how is that benefiting you?

Instead of creating 50 separate static dashboards to track different customer segments or campaign attribution models, teams can use ThoughtSpot’s dynamic "Liveboards" to endlessly drill down into specific audience traits or SKU performance on the fly

What do you like best about the product?

I love the entire talk to your data concept in ThoughtSpot, as it just makes it easier when the AI knows what our data means. I also appreciate the semantic views, and the initial setup was easy.

What do you dislike about the product?

None

What problems is the product solving and how is that benefiting you?

ThoughtSpot enhances visibility into customer deductions and simplifies accounts receivable reporting.

What do you like best about the product?

I think if implemented well, ThoughtSpot brings about a simplicity in producing reports that previous "self-service" oriented tools weren't able to provide.

What do you dislike about the product?

That you can't create a report through native SQL or similar language. Much of the functionality is dependent on a good understanding of dimensional modeling of the data without the possibility of doing ad-hoc reporting.

What problems is the product solving and how is that benefiting you?

ThoughtSpot solves the visualisation layer of our data stack. We chose it for it's of use - though that's dependent on the quality of the setup - and it's enterprise grade level of integration within our our portals and platforms.

What do you like best about the product?

I think the Spotter tool is really cool at interpreting prompts and producing answers/liveboard tiles that match well with what I wanted. Huge time saver when making charts and tables. I also use the SpotterCode MCP regularly to understand and make API calls as we build out our integration - its awesome!

What do you dislike about the product?

Not much! At first I found it a little difficult to generate charts & tiles manually, but it was just a different paradigm than I'm used to. I know we had one recent workaround when it comes to displaying a duration column, but with formulas we were able to make things work.

What problems is the product solving and how is that benefiting you?

Thoughtspot has been able to provide the same level of reporting functionality so far as our home-built Reporting we're placing, plus more

What do you like best about the product?

I use ThoughtSpot for surfacing data in Snowflake and enabling self-serve. It makes it much easier for non-technical users to query data and build visuals. I like the ease of building visuals and querying data, and the live search is a feature I enjoy. The automatic filter pick-up and keyword searching are also helpful. It's easier for non-technical stakeholders to build reports plus NLQ with Spotter.

What do you dislike about the product?

I find the flexibility to transform data very limited and there's no way to stipulate what type of join to use. It would be useful to have more flexibility in visual types and data transformations, similar to a Power Query type layer in Power BI. Also, integrating apps built in Claude/Cursor and having the ability to plug them into live data in ThoughtSpot would be great.

What problems is the product solving and how is that benefiting you?

ThoughtSpot surfaces data in Snowflake, enabling self-serve access and makes it easier for non-technical users to query data and build visuals.

What do you like best about the product?

I like the ease of use and the Spotter feature in ThoughtSpot. Spotter helps me use NLP to get an answer to my questions, which is really helpful. The ease of use also comes from how easy it is to configure new graphs. Additionally, the initial setup of ThoughtSpot was quite easy, thanks to the help from Amit and Philipp.

What do you dislike about the product?

drilling down on a time frame level without doing many clicks

What problems is the product solving and how is that benefiting you?

I use ThoughtSpot for creating business dashboards, monitoring patterns, getting quick views, and drilling into errors. The ease of use and NLP-based spotter feature make it intuitive to configure graphs and find answers to my questions.

What do you like best about the product?

AI / Intelligence with Spotter and Spotter IQ

What do you dislike about the product?

Liveboards/Answers aren’t as customizable as other BI tools. I’d really like to see more flexibility in creating visualizations in the future, especially when it comes to tailoring them to specific needs.

What problems is the product solving and how is that benefiting you?

The biggest problem Thoughtspot is solving for us is enabling self-service analytics through its Spotter capability. It helps our users run their own ad hoc analyses and ask questions on their own, which is especially valuable for people who aren’t very technically savvy.

What do you like best about the product?

What I like best about ThoughtSpot is how intuitive it makes data exploration. The natural language search allows both technical and non-technical users to quickly get insights without needing to write complex queries. It really shortens the time from question to answer, which is valuable in fast-paced environments. This is especially important to my organization, as we need quick, on the spot insights to help us drive strategy. Overall, the integration with Snowflake was straightforward and allowed us to streamline our backend data. Additionally, the continuous improvement efforts of ThoughtSpot to evolve the platform are top of the line - they have an extensive runway of enhancements to better shape the product and respond to customer needs.

What do you dislike about the product?

One area for improvement in ThoughtSpot is its formatting and reporting flexibility. While the platform is very strong for ad hoc analysis and search-driven insights, it can feel somewhat limited when trying to create highly customized, presentation-ready reports compared to more traditional BI tools. Additionally, in being cloud based, it can be challenging to bring in data (e.g., text files, etc.) outside of cloud based tools. In our organization, we often receive data from vendors that are flat files and having the abiliyt to easily bring those in would be an added benefit.

What problems is the product solving and how is that benefiting you?

ThoughtSpot helps solve the challenge of quickly accessing and analyzing HEDIS performance data. It allows us to dig deeper into the data and uncover insights in a much faster, more seamless way. It also provides a self-service capability for end users, which reduces ad hoc requests and frees up analysts’ time. Without it, analysts would spend hours manually querying and analyzing datasets, slowing down decision-making. With ThoughtSpot, we’re able to get to actionable insights much more efficiently.

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

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.