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.
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Has improved project turnaround time with customizable dashboards and faster data delivery to stakeholders
What is our primary use case?
What is most valuable?
Sisense is an API-first embedded analytics platform, which is really good. We have gotten a lot of ease integrating this specific platform with any applications, dashboards, or websites that we want to develop. It supports ElastiCube in-memory models, which are performant, and it supports different types of data. It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data. It mainly allows you to do embedding and white-labeling, so that's one of the main features of Sisense platform.
Because of the API-first approach, the APIs are quite easy to use, allowing us to create customized dashboards. Some of the other platforms, such as Power BI or Tableau, can feel restrictive. Here, we already had a customized dashboard that was developed for the specific platform. Because this is an API-first or API-led analytics platform, it feels like a plug-and-play system, allowing more customization power to the client rather than just using one platform as a whole for analytics and dashboarding. Also, because of ElastiCube, we have more control over how the data is processed, enabling us to do a deep dive into the transactional data and review the historical data.
Sisense positively impacts our organization by speeding up the process of getting and presenting the data to customers or stakeholders, which normally takes a lot of time due to curation and presentation efforts. The turnaround time for the project is quite good. We are able to bring the data in front of the stakeholders quickly, which was one of the major achievements and met our expectations.
The turnaround time with Sisense improves by around 30 to 40%. The stakeholders are quite happy because, in the past, they were stuck with platforms that were one platform for all use cases. Therefore, the turnaround time and the features provided by Sisense are excellent.
What needs improvement?
Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle.
Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics.
Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.
For how long have I used the solution?
I have been using Sisense for around one and a half years.
What do I think about the stability of the solution?
Sisense is stable.
What do I think about the scalability of the solution?
Sisense works really well for simple to medium use cases and scales well, but it may face challenges with very complex use cases.
How are customer service and support?
Customer support is good enough.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
We previously used Power BI, but for this specific project, we were looking for a better fit. The client was open to different solutions and not restricted to a specific stack, so we evaluated other products such as Power BI and Tableau before choosing Sisense.
What was our ROI?
We have seen a return on investment because these kinds of projects typically require more developers to create dashboards and models. Sisense is easier to develop and embed within existing websites or applications, saving effort in terms of man-days or man-hours. Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.
What other advice do I have?
I advise others to keep an open mind, as they'll be pleasantly surprised by how Sisense can help. It effectively allows analysts to create self-service portals or reports, saving time from a coding perspective. Because it's quite user-friendly, you don't need to be a hardcore technical person—you can create the dashboards yourself if you have sufficient knowledge, which works better compared to Power BI or Tableau.
Sisense is a quite useful product. In cases where there isn't a large requirement or many use cases, the pricing might not be justified. It's important to figure out how many use cases are present to assess whether the investment is justified.
On a scale from one to ten, I rate Sisense an eight.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Easy for the armchair analysts
Sisense: Great for Simple Reporting but more Frustrating than any other BI Tool
Great product for embedded analytics, but lacks cross DB joins
EKS Sisense management is an interesting time
Effective dashboards streamline business operation analysis
What is our primary use case?
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.
What is most valuable?
The Sisense solution was very easy to set up, and its visualizations were effective. Creating dashboards was straightforward and it didn't take long to understand how the tool works, making it intuitive. Additionally, it offers two ways to access data: by cubing the data or hitting it live. Using the last two cubes for data visualization made more sense for efficiency.
What needs improvement?
I would like to see an improvement in the live data connection, specifically making the process faster.
Additionally, incorporating more self-service capabilities would benefit the product.
For how long have I used the solution?
I have used Sisense for about a year.
What do I think about the stability of the solution?
There was no downtime reported with the solution.
What do I think about the scalability of the solution?
I did not encounter any scalability issues. However, the Security appeared a bit cumbersome for maintenance.
How are customer service and support?
During the process, I had a fully dedicated resource on my team, and I engaged with them twice a week. The support was very good.
Which solution did I use previously and why did I switch?
I evaluated ThoughtSpot. Ultimately, I chose ThoughtSpot due to its superior self-service capabilities, despite Sisense having slightly better dashboarding.
How was the initial setup?
The initial setup was very straightforward. As this was a proof of concept, I was able to access test databases easily.
What's my experience with pricing, setup cost, and licensing?
There was no significant difference in pricing between Sisense and ThoughtSpot. They were practically dead even from a pricing perspective.
Which other solutions did I evaluate?
I also evaluated ThoughtSpot. Sisense had better dashboarding capabilities, but ThoughtSpot's self-service capabilities were the deciding factor.
What other advice do I have?
For teams already using tools like MicroStrategy, which also use cubes, Sisense could serve as an easy transition offering more capabilities.
I would rate Sisense an eight out of ten.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Sisense, The best BI tool
What I like most about Sisense is their support system. They have support across the time zones. Unless it is urgent, I like to get support in the evening when I do not have to do other things. Someone will be there to help and resolve issues quickly.
Excellent engagement but go with Cloud instance.
Sisense User for over 5 years with great results
Dashboards to show corporate metrics, etc.