You want to load your data as quickly as possible, whether it's a quarter, a year, or a month, load it, and play around with it. It can be from an Excel file or a different data source. Once you prove your use case, then you could figure out how to add more data and how to do a feed into ThoughtSpot. The best thing to do is, before you load your data, to understand what your use case is and figure out what you're trying to answer. I'd rate the solution seven out of ten. There are still some elements I'm trying to figure out.
SVP, Head of Enterprise Data Mgmt & Data Intelligence at a financial services firm with 5,001-10,000 employees
Real User
2022-11-14T21:55:06Z
Nov 14, 2022
I give the solution an eight out of ten. Four years ago we deployed the solution on-prem but now it is deployed in the cloud. The deployment is normally easy but in our case, we had an additional whitelisting requirement. If you're familiar with whitelisting, it's basically removing the ThoughtSpot logo everywhere and replacing it with our own. That was the only piece that took us a little bit longer than a standard setup and because of that, I would give the setup a four out of ten. We have about 200 people that use the solution actively where they're in there every day or several times a week. Then we have another 200 people that will play with it for a little bit or go in and out once a month when they need it. I would say Tableau excels at the visualization piece. ThoughtSpot exceeds at pure self-service in English like Google querying. It also excels at developer efficiency. What may take a Tableau developer five hours to do, I can do or a developer can do in an hour and a half, two hours on ThoughtSpot just because it's more intuitive, it's simpler, and has fewer bells and whistles and they can just turn things out faster. If your aim is to simply get out analytics, if you need operational numbers or need some financial figures and just need the figures and don't need the absolute picture-perfect view of it, then ThoughtSpot is perfect and fast. I would suggest before using the solution make sure that your data is modeled well. Right from the start for consistency, for good performance out of the box, for data quality reasons. Make sure that you don't skip the upfront data modeling work. It's not that ThoughtSpot couldn't handle a dirtier set of data, it's just that your results are going to be better and faster from the beginning than having to go back later on and work on that technical debt.
ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.
The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden...
You want to load your data as quickly as possible, whether it's a quarter, a year, or a month, load it, and play around with it. It can be from an Excel file or a different data source. Once you prove your use case, then you could figure out how to add more data and how to do a feed into ThoughtSpot. The best thing to do is, before you load your data, to understand what your use case is and figure out what you're trying to answer. I'd rate the solution seven out of ten. There are still some elements I'm trying to figure out.
I rate ThoughtSpot a solid eight out of 10 overall. It's the best platform we found for self-service analytics.
As a general solution, I would rate ThoughtSpot a nine out of ten, with one being the worst and 10 being the best.
I am an end-user. I'm not sure which version of the solution I'm using. I'd rate the solution seven out of ten. It can handle a lot of data.
I give the solution an eight out of ten. Four years ago we deployed the solution on-prem but now it is deployed in the cloud. The deployment is normally easy but in our case, we had an additional whitelisting requirement. If you're familiar with whitelisting, it's basically removing the ThoughtSpot logo everywhere and replacing it with our own. That was the only piece that took us a little bit longer than a standard setup and because of that, I would give the setup a four out of ten. We have about 200 people that use the solution actively where they're in there every day or several times a week. Then we have another 200 people that will play with it for a little bit or go in and out once a month when they need it. I would say Tableau excels at the visualization piece. ThoughtSpot exceeds at pure self-service in English like Google querying. It also excels at developer efficiency. What may take a Tableau developer five hours to do, I can do or a developer can do in an hour and a half, two hours on ThoughtSpot just because it's more intuitive, it's simpler, and has fewer bells and whistles and they can just turn things out faster. If your aim is to simply get out analytics, if you need operational numbers or need some financial figures and just need the figures and don't need the absolute picture-perfect view of it, then ThoughtSpot is perfect and fast. I would suggest before using the solution make sure that your data is modeled well. Right from the start for consistency, for good performance out of the box, for data quality reasons. Make sure that you don't skip the upfront data modeling work. It's not that ThoughtSpot couldn't handle a dirtier set of data, it's just that your results are going to be better and faster from the beginning than having to go back later on and work on that technical debt.