ThoughtSpot Professional, Scientific, and Technical Services Reviews & Insights

We're using ThoughtSpot as our main BI and self-service analytics tool as well as experimenting with reports embedding

ThoughtSpot is extremely well-positioned for any organization willing to drive self-service analytics and empower business users to interact with the reporting or build their own reports.

We have a client who has a lot of entities, assets, and loans, so there is a lot of data to be managed. ThoughtSpot gives all the analysis for it in bar graphs and charts. It helps our team to quickly analyze large datasets without needing complex SQL queries. It is easy to get insights of it. We use ThoughtSpot across different departments dashboards,ad-hoc analysis and providing a monthly view of all the transactions to the client.

ThoughtSpot i s very helpful when team requires want quick answers without waiting for the data anaysis team. for eg, Sales head can sales by last quarter region and get instant charts ,it very much works well for creating easy to use dashboards. It is not very best choice when there is complex calculations, in this art other Bi tools work better.

We need it to visualize our data across the entire company as well as a reporting/visualization that we whitelabel for our customers. It solves not just getting an understanding of our and our clients' revenue/claims/resolution rates, but also gives us very interesting trends and insights in our data that we would have otherwise overlooked.

ThoughtSpot is best suited to analyzing and visualizing data sets where you want to be able to drill down and dissect the data in different ways, but you may not necessarily be sure how to set it up to do that, since ThoughtSpot takes care of the drill down hierarchy that normally needs to be set up in advance. That way you can slice and dice data to suit your business questions. Scenarios where it's not appropriate is if you have data distributed over multiple databases and you want to bring it all together. That can be a challenge.

I have used ThoughtSpot to create an intuitive dashboard that helped users to understand data more and in an easier way. One of the major problems that ThoughtSpot addresses is the reducing dependency on data teams for insights by enabling self service analytics. Its instant insights enables faster decision making. ThoughtSpot's natural language querying system helps the non technical business users to comfortably query data and derive insights.

ThoughtSpot's mobile app helps users to access, explore and interact with data anywhere and also it helps users to blend data from different data sources without the need of extensive data engineering. ThoughSpot ensures secure data access with robust enterprise-grade controls. It supports RBAC and integrates with identity managemnt systems, ensuring that only authorized users can access specific datasets or analytics features.

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 visualizations which help track KPIs and provide insights into business performance. ThoughtSpot empowers non technical users to perform ad-hoc data analysis. User can use Google like search interface to query data and generate insights real time without relying on data team.

By using the power of cloud platforms like bigquery or snowflake, ThoughtSpot can deliver performance at scale ensuring that even the largest organization can quickly analyze and visualize data.
The ability to seamlessly share live dashboards fosters collaborations, ensuring everyone in the organization is working from the same data source and aligned in decision making.

We use ThoughtSpot as a central piece of our analytics platform. It houses a large majority of our internal and external reporting. It covers a pretty large scope and solves numerous business problems for us, including ad hoc reporting, embedded reporting, internal reporting, external reporting etc. We also leverage RLS to limit external reporting.

I think that if a company is looking to roll out a suite of reporting more centrally focused on ad hoc reporting and not necessarily looking to lock down their environment and report creation to strictly and internal analytics or BI team, ThoughtSpot fits that use case. Anything that needs more structure/limitation is not right for ThoughtSpot.

we use ThoughtSpot as our main dashboard and analytical tool. The main business problem was that most of our analyst team is non-technical but have great expertise in domain knowledge. There was also constrained of the data engineering team and – boarding team not understanding the domain and providing dashboard and analysis Which were time consuming, resource, heavy and not very useful to the analyst team. Hence, we built a use case across operational efficiency, resource management, as well as the use of technology technology to get insights, especially the AI, analytical part of ThoughtSpot. This allows non-technical analyst as well as the account managers to directly create stories and insights which are useful to the client in a quick and easy way.

ThoughtSpot is really useful. If you have domain experts who lack technical abilities and you need them to get to insights and stories real quick. It is not useful when you have large data engineering teams who have the practical knowledge of the domain or the data. Scientist do have the domain knowledge as the product is expensive

It is our main BI tool. We use it to give our business users access to all kinds of data.

It is excellent if you want to give access to a tool to many people who aren't BI experts. We removed our BI teams as a dependency for most users to build out reports and access data. From an admin perspective, there are a handful of frustrations, but we can get over those. I would recommend a more advanced tool like Looker or Tableau if you want very advanced customization options and to build feature-packed dashboards.

I use Thoughtspot to enable self-serve analytics on pharmaceutical data.
Thouhtspot's USP is its ease of use for the end users and they get answers from their data in just a few clicks.
Plus, with the introduction of Thoughtspot sage, the Gen AI capabilities provides users with NLP capabilites on their data - which is great for business and HQ users (who are not so tech savvy).
Lastly, feature like SpotIQ provide users with automated analysis and insights on their data - which otherwise would have required some manual intervention from a technical user.

Thoughtspot is great for promoting data democracy to the end users (primarily business users).
It enables them to build simple visualizations and pin multiple of them together on a liveboard just by entering their queries in simple natural language.
But, for building more complex visualizations, Thoughtspot lags behind other (older) BI tools in the market - as it has relatively limited customizability options for visualizations as of now.

We were consulted by a State organization to analyse data collected through a wide scale user survey. Our mandate was to identify the most frequently quoted applications in calls to the Help Desk and understand their impact on overall satisfaction. After clustering by profile, data was imported into ThoughtSpot and relevant questions asked to generate answers as easy to interpret graphical representations.

Regularly, we need to analyse relationships between variables and represent them in a format easy to interpret by non statisticians. ThoughtSpot is of great help in this phase of the analysis to articulate insights backedup by graphical evidence.We are kless at ease with ThoughtSpot where mixed models are required (FC–AFC–FCA). Then we resort to specialised statistical packages (XLSTAT or SPSS).