Sisense was used for one of our clients to enable analytics and dashboards for their applications, which were supposed to get the data from different partners for that specific client. Sisense is white labeled and provides white-label data analytics. It is very easy to use and, compared to other platforms, it provides many good features. It is built on a modern stack, so it really stands out. That is one of the reasons we chose Sisense for this particular project.
I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to clear compared to other tow truck companies. Essentially, I was comparing responsiveness among different tow truck companies.
For the use case, the tool is mostly used from an analytic point of view. We are focused on huge data size because the last time we worked with the tool, it was very good.
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
Sisense was used for one of our clients to enable analytics and dashboards for their applications, which were supposed to get the data from different partners for that specific client. Sisense is white labeled and provides white-label data analytics. It is very easy to use and, compared to other platforms, it provides many good features. It is built on a modern stack, so it really stands out. That is one of the reasons we chose Sisense for this particular project.
I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to clear compared to other tow truck companies. Essentially, I was comparing responsiveness among different tow truck companies.
For the use case, the tool is mostly used from an analytic point of view. We are focused on huge data size because the last time we worked with the tool, it was very good.
We use the solution to centralize all processes.
We use the solution for data modeling and visualization to build dashboards for our healthcare product.
We use this solution for analyzing research data.
My current position is as a Senior Consultant. I sell Sisense to my customers in Thailand. It is used for reporting and as an analytic dashboard.
I use Sisense to provide monthly information to executives and our sales team.