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What differentiates Sisense from other similar products?

Sisense stands out with its strong data integration capabilities and flexible embedded analytics, allowing users to easily combine diverse data sources and embed interactive dashboards into other applications. Its low-code environment enables quicker report building compared to some competitors. However, it relies more on external tools for advanced AI and predictive analytics, focusing on customization and scalability.

What is your favorite aspect of this product?

My favorite aspect of Sisense is its flexible data integration, which lets users easily connect and combine multiple data sources for comprehensive, unified insights without heavy IT involvement.

What do you dislike most about this product?

The biggest drawback of Sisense is its steeper learning curve for non-technical users, especially when building complex data models or customizations. Additionally, some advanced analytics and visualization features require external tools or additional development.

What recommendations would you give to someone considering this product?

If you鈥檙e considering Sisense, be prepared to invest time in training or hire skilled developers to unlock its full potential, especially for complex data modeling. It鈥檚 a great choice if you need strong data integration and embedding capabilities, but if you want out-of-the-box advanced AI or a very simple user interface, you might need complementary tools. Plan your implementation carefully to maximize value.

What differentiates Sisense from other similar products?

We have used Sisense from the beginning as a primary tool for self-service BI. Sisense makes each user explore the entire project on their own, making them keep the entire core data team up to date. KPI alerts and HOC visualization are also included with Sisense as they can be run as an add-on in the web application.

What is your favorite aspect of this product?

Sisense has one of the best customer services in the market, every bug we had was resolved in less than 12 hours. Its backend architecture is very solid under a very high performance platform. It has a very small learning curve and the user interface is quite intuitive so any non-technical user can use Sisense without any inconvenience.

What do you dislike most about this product?

Sometimes the management logic of Sisense becomes obsolete, we need new updates to remove the limitations with languages and something to increase the compilation of failures to know where we are stuck. It is necessary to increase the portability of cubes since the minimum is 3 at the time and that limits everything, even if you have a high quality server and speed this is still limited to 3.

What recommendations would you give to someone considering this product?

Sisense is recommended as the best solution to the BI architecture on the Big Data platform we have for data collection. We do not require any supervision to understand all the database we have. Sisense is perfect for companies that also do not have Big Data as no additional staff is required to handle this.

What differentiates Sisense from other similar products?

Sisense differentiates itself from other similar products by offering a suite of powerful tools for data analysis and visualization. It utilizes sophisticated In-Chip technology to quickly and easily access, analyze and visualize large and complex datasets. Additionally, it features a powerful self-service analytics platform that allows users to create interactive dashboards without needing to write code. The software also offers numerous integrations with other popular data sources, making it easy to connect to external data sources. Finally, Sisense also offers advanced analytics capabilities, such as predictive analytics, machine learning,

What is your favorite aspect of this product?

Sisense's robust data analytics and visualisation capabilities are my favourite feature. I can quickly and simply analyse data with Sisense to find fresh insights and present them in a visually appealing, interactive way. Aside from that, I value Sisense's simplicity, scalability, and adaptability.

What do you dislike most about this product?

One of the things I dislike most about Sisense is its lack of flexibility. It can be difficult to customize the look and feel of an analytics dashboard, as the designs are limited. It also has limited capabilities when it comes to advanced data analysis, such as predictive analytics, machine learning, and AI. Additionally, its pricing can be on the higher side for some organizations.

What recommendations would you give to someone considering this product?

Consider the scale of your data analysis needs. Sisense is powerful, but may not be the right solution if you have a large and complex data set.