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The number of employees has reduced to half, and time is saved by nearly two to three hours a day because of automated reports.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Because of integration with Microsoft Power BI, its interactive dashboards, and how easily it integrates with other SQL data sources, business decisions from business users have become much faster.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
Using ThoughtSpot has resulted in significant time savings and improved business sales by allowing us to identify sellers and buyers across regions, facilitating targeted marketing.
Based on our implementation in one project, we are trying to raise more funding to expand its use.
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.
Anyone with minimal knowledge of Looker can easily go through the documentation and understand the steps and the UI.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
I stopped opening tickets due to insufficient and untimely responses.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
The customer support for ThoughtSpot is very proactive and supportive, available 24/7.
I rate Looker's scalability a nine because of how easily we can scale by simply combining tables.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
The platform does not have technical problems with scaling data or connections.
As our data has grown, I have validated huge datasets and complex models without significant issues.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
I use it primarily for large datasets, and it performs faster than regular data visualization tools such as Power BI, which has limits on dataset size.
The upgrades are smooth with no downtime, which is super important.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
The performance is not optimal on large data sets.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
Currently, it is not as customizable as the options available on Power BI or Tableau.
Handling governance when there are many models and dashboards is complex.
Enhancing integration capabilities with other tools like DBT would also be beneficial as it would make our lives easier.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
The pricing, setup cost, and licensing for ThoughtSpot are competitive.
For a business user to understand data from free form or Essbase, it usually takes thirty minutes to an hour to go through the previous day's trend. However, with the visualization tools in Looker, they can easily understand the data and compare it to the previous one or two years using a bar graph, pie chart, or other graphs.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
This alerting feature is very beneficial for our company at the moment, and we use it extensively.
When I upload a data dump, AI analytics suggest possible data visualizations and insights, which I can pin to dashboards or live boards for modification.
| Product | Mindshare (%) |
|---|---|
| Google Data Studio | 5.5% |
| Tableau Enterprise | 17.5% |
| Qlik Sense | 7.9% |
| Other | 69.1% |
| Product | Mindshare (%) |
|---|---|
| Microsoft Power BI | 8.1% |
| Tableau Enterprise | 6.2% |
| Amazon QuickSight | 3.3% |
| Other | 82.4% |
| Product | Mindshare (%) |
|---|---|
| ThoughtSpot | 1.7% |
| Microsoft Power BI | 8.1% |
| Tableau Enterprise | 6.2% |
| Other | 84.0% |



| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 8 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 136 |
| Midsize Enterprise | 59 |
| Large Enterprise | 171 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
Google Data Studio enables seamless integration with Google's ecosystem, enhancing data visualization with Looker's capabilities. Its semantic layer and real-time insights support efficient dashboard creation and sharing.
Google Data Studio offers comprehensive data management through LookML, allowing custom data modeling with minimal training. Its centralized data management facilitates dashboard creation for non-technical employees. Users benefit from real-time insights and advanced analytics, along with automated reporting that reduces workload. Although it offers customization and data-level security, areas like visualization flexibility and large dataset performance need improvement. Challenges include handling complex filters, limited chart types, and the absence of multi-sheet options.
What are the key features of Google Data Studio?Google Data Studio is implemented in industries like real estate, sales, and marketing for creating operational reports and understanding trends. It helps organizations visualize data for customer behavior analytics, supporting developers in managing integrations and data governance efficiently.
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
ThoughtSpot offers analytics through a user-friendly interface, empowering non-technical users to explore data swiftly with AI-driven insights and search-based analytics, making data access and modeling efficient.
ThoughtSpot is designed for intuitive data exploration, enabling users to generate custom analytics and reports without deep technical expertise. Its strength lies in natural language processing, scalability, and seamless data connectivity. Customizable dashboards and interactive visualizations help organizations in effective decision-making. The emphasis on self-service analytics supports real-time data queries and enhanced data modeling. While popular for its quick insights, users note a steep learning curve and complex UI, seeking more customization options, better connectivity, and visualization features. Price and usability challenges, along with desires for improved dashboard stability and integration, are noted for large enterprise deployments.
What are ThoughtSpot's key features?Industries leverage ThoughtSpot for self-service analytics, driving marketing, sales, and business intelligence operations. Companies benefit from its real-time data connectivity with modern data cloud platforms, enhancing internal operations through scalable data analysis. Non-technical users are empowered to perform ad-hoc analysis, data exploration, and visualize KPIs, optimizing strategic workflows across sectors.