Microsoft Power BI Embedded vs. ThoughtSpot

The scenario where it shines more is in the treatment of data that is not easily correlated at first sight, it helps to find causes of unsuccess in productive environments. The only thing that is required is to have properly collected data to feed to Power BI, so it won't be useful in environments where the data is not collected with care, since the representations won't be representatives of the reality.

Incentivized

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.

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• It is very easy to connect multiple data sources for a single report. You can use CSV, Excel, database integration, etc.
• Power Bi supports Python as well, which makes it a lot easier for us as it is known by most of our team.

Incentivized

• Beautiful visualizations. The visuals are distinct, clean, and easy to discern from one another.
• Intelligent querying functionality. When looking to manipulate the data, the search function makes it easy to manipulate the features in the data, along with aggregating them in the way you'd like.
• Embedding! It has been a smooth process thus far for our product & technical teams to work with ThoughtSpot and bring it into our product.

Incentivized

• It was a little difficult to work out how to create certain visualisations, but there is extensive online help material to support with this.
• Had some issues with assigning pro licences but these were quickly resolved
• Small learning curve but no more so than similar applications

Incentivized

• It would be great if ThoughtSpot can add the feature to filter by clicking on visualizations. i.e if I click on a particular data point in the chart if the full dashboard can filter just for that particular data point.
• Color coding the heatmap with different colors like green to orange to red.

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We have had success with the initial use cases and there are more use cases that can receive return on investment. I don't give it a 10 because other products like Tableau are building functionality that may start to compete in the coming years.

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The tool is easy to use if you know what you are doing and looking for. I know as they work towards improvements and simple language it will become even easier, but as of now they are doing a great job but there is room for improvement.

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it's available unless there is a server or system update etc. sometimes the timing of this is bad (for example during a month end close)

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It does what it is supposed to. Would be nice to have a bit more insights

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I give it this meeting because the team is not only help able to help us in the current solutions but also amazing and taking feedback and feeding it back to their development team which includes more products and features into ThoughtSpot

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inhouse in-person training. Took a bit to long to get the basics.

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poor instructions

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Understand use case and model and design accordingly

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Microsoft Power BI Embedded is already established as a de-facto standard as a business intelligence platform for the enterprise world. It comprises the best features to be delivered for the products being developed by providing a wide range of functionality. For instance, there are supported numerous graphic visualizations of data points such histograms, pie charts, heat maps and so on

It is more flexible and PowerBI, easier work online, and share information with many users. Also the dashboards and beautiful, and the user experience is better. Performance used to be faster. We use Looker for different use cases but, when it comes to reporting and sharing information, ThoughSpot is much better.

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Because it is very reliable, inside the situation, we need strong internet connection to access a lot of data but easily never had any downtime except during the upgrades

Incentivized

• Microsoft Power BI has had a positive impact on our business objectives by allowing everyone to better understand the data that is being presented. Some people can process numbers and charts easily, but interactive visualizations can aid visual learners and just makes the dashboard look a lot nicer with the ability to dive deeper into the numbers (through visualizations). Thus, engagement and understanding have improved.
• One negative impact is that there is a rather steep learning curve since Microsoft Power BI's language (DAX/M) can be quite different from traditional Excel. Because of that, either you need to hire people who are specialized in Microsoft Power BI, or you need to account for the fact that they will need to be trained (or take time to learn it). Thus, there can be direct costs from hiring new people, or indirect costs through training/employee taking time to learn the software.
• Another positive impact of Microsoft Power BI is that it got us thinking about how we can be better as an organization in terms of laying out our raw data, organizing data, conducting research into better metrics we can track and report on, etc. Because Microsoft Power BI made the presentation/visualization (+ regular updating/maintenance) part of our dashboard easier for us, we were able to start thinking about additional metrics and additional ways we can improve our reporting.

Incentivized

• Time to market ROI is massive vs hiring the full-time dedicated team to build and maintain a frontend multi-tenant SaaS data viz product.
• It will be interesting to see over time how the advanced features play out in terms of usability and end value, such as Natural Search, which we are very excited about, and the machine learning tools.

Incentivized