We use the solution to centralize all processes.
Before Sisense, we didn't have a single platform to monitor our performance data. As a performance advertisement organization, we needed a place to monitor all performances. Sisense helped us achieve this by pushing our data into one place. Now, anyone in the organization can analyze any data point they need without looking at multiple locations.
It is easier to get on board with Sisense because of their custom support team. You have a dedicated team to help.
Sisense is good in terms of visualization, but it has some drawbacks. For example, it doesn't have any way to sort or filter tables directly on the server side. Also, you can't have multiple tabs; it has a single dashboard.
Sisense has multiple levels of filtering, including similarities. Sisense has a huge customer base and is constantly adding plugins, so it is possible to create tables the way you want.
I have been using Sisense for one to two months.
The product’s stability has no issue.
I rate the solution’s stability an eight or nine out of ten.
30 users are using the solution, and we are planning to touch 100users mark.
I rate the solution’s scalability a seven or eight out of ten.
We used multiple other solutions, including Google Looker Studio, Quicksight, Superset, and Google Sheets dashboards. We wanted to consolidate all data, so we switched to Sisense.
Migrating our data to Sisense was not easy since we were in a very busy period, and there were some issues during the first few months. This prompted us to look for a super site and other solutions. We were able to figure things out with the support of the Sisense team. It was a painful process, but we are happy with the results.
The deployment took around two months and four or five people to complete.
I rate the initial setup a three out of ten, where one is difficult and ten is easy.
The solution is not affordable for small businesses. It is cheaper for at least mid-stage startups to large scale. To get additional add-ons and plug-ins built by Sisense, we would need to purchase them as an extra package. There are also some extra costs associated with adding new profiles to Sisense.
I rate the product’s pricing a nine out of ten, where one is cheap and ten is expensive.
There are multiple stages of the availability. The first primary thing is cost. The second one is how large your data is and whether you want to research data in real-time or if it's frequency-based. There are much better solutions like Superset or Looker. If you look at consolidated data that refreshes regularly, like once daily, Sisense is definitely on the good side. It doesn't offer anything extra except for the good visualizations. Sisense is on top of the market. There is an associated brand value. If you want to share reports with the clients, that would also be easier.
We were evaluating Sisense, but the pricing was too high for us. We decided to try it and purchased an initial membership plan for 10 or 13 people. We worked directly with the Sisense team, but for a long time, we could not onboard our dataset. We explored multiple solutions, including onboarding a sample dataset first or directly catching the data through queries inside items. This is their primary KPI and USP - you can write questions in site settings and people. We tried to host this somehow, but all of our attempts failed. After multiple discussions, I could onboard the queries directly with the help of the support team.
We have dashboards all over the place. It was getting tough for us to track down where the information was. We needed a central location where all the dashboards are present. We were also hopeful that the AI features in Sisense could help us point to deeper insights that we cannot find ourselves all the time.
We were evaluating between Sisense, Superset, and Looker Studio. And I think Sisense is relatively fast compared to Looker Studio, for sure. Looker Studio also has some build problems, such as the inability to support custom queries. So, it's not a scalable solution for us.
One person currently does maintenance, but we are considering two or three for this job.
Overall, I rate the solution an eight out of ten.
