Sisense Fusion Analytics Platform | Ai-Powered Analytics

My main use case for Sisense during our three-year period involved a review, an implementation, and then a progression upgrade.

A specific example of how I used Sisense during that time is that we principalized it for the SaaS front-end platform, diversifying analytic dashboarding for our customer base and allowing them to use the relationships of the review products versus the actual outcome of the people who reviewed it and the analytics that supported that.

The key thing I want to add about how Sisense fits into our workflow is that we wanted to ensure the SDK packaging was flexible, which it is, and it has a solid API and SDK option package that we can work with for compatibility for our SaaS services, while also meeting our manpower requirements to drive costs down.

Reduced needs for additional hires was the biggest key component; we almost had zero cost spin-up outside the initial cost of the product package itself, and it was the overhead of manpower that mattered to us. Basically, to control costs, as we could not hire many extra resources, and the sustainment overhead was very low, allowing us to focus primarily on productivity rather than operational overhead.

The best features Sisense offers include ease of use and the ability to associate the API integration down to the dashboard, which made it a little less overhead for us to scale the product into our existing SaaS platform, along with the availability of professional services that helped to get our development off the ground.

The standout factors regarding the API integration and dashboarding for my team are that it can take standardized APIs that we have with JSON and other platforms, and it supports our writing of custom APIs, translating fairly well to the dashboarding process.

Areas where Sisense can be improved include AI integration, particularly effective deployment of the AI tool, rather than just having AI, and addressing the challenges around infra-scaling to support multi-cloud models instead of just a single cloud provider.

The needed improvements around scaling and AI integration include addressing the scaling functionality, particularly in disaster recovery, and enabling more effective synchronization or asynchronous functionalities with the DR services.

I have been using Sisense for three years.

Sisense has been stable so far.

Sisense's scalability is tricky; I would like to see more infra-scaling functionality for effective injection capacity and DR functionality.

I find customer support for Sisense to be good.

I would rate customer support an eight on a scale of one to ten.

I did not previously use a different solution before Sisense; this was a new attempt.

Integrating Sisense with my existing data sources and applications was not difficult; I would rate it about an eight or eight point five on a scale of one to ten.

The improvements I have mentioned are significant and pretty detailed.

I have not seen a return on investment in terms of employee numbers, but it has introduced a new potential source of revenue as a product we could integrate with our analytics tools for our customer base.

Regarding pricing, setup cost, and licensing, the version six point three point one release was good initially, but I had to keep a close eye on costs, as it requires maintaining a tight format to avoid runaway costs.

I evaluated other options, although I was not present during those reviews, so I cannot specify the vendors.

My advice for others looking into using Sisense is to ensure it fits your SDK guidelines, API guidelines, and is suitable for your customer-oriented goals rather than internal use. I would rate this review a seven overall.

Public Cloud

Amazon Web Services (AWS)

What do you like best about the product?

Sisense provides advanced reporting solutions for our clients and helps fill gaps in what’s available through our standard in-product reports.

What do you dislike about the product?

There’s a known delay in data refresh between our platform and Sisense. While it isn’t terrible, it can still create issues when building reports, reviewing or adjusting platform data, and then validating the final dashboard or widget results.

What problems is the product solving and how is that benefiting you?

Sisense solves the limitations of our in-platform reporting.

What do you like best about the product?

The visualisations are clear and easy to generate, dashboards can be shared with users, or automated out as emails. Performance is good, with data builds compiling quickly. We were able to integrate successfully with our system on items such as SAP inputs, and active directory SSO for logins. Support always respond in a short time, and our technical consultant always has methods to achieve our business goals. Subscription costs seem way cheaper than rivals such as Tableau.

What do you dislike about the product?

Elasticubes can get very complex, and visually our logic is difficult to see. Other ETLs I have used work more like a flow, where descriptions/labels can be added at each part of the process. Line numbers added to SQL queries would be good, making error analysis easier.

What problems is the product solving and how is that benefiting you?

We are able to quickly see operational trends and issues, compiling our business metrics automatically..

What do you like best about the product?

Caching data using Elasticubes gives the ability to stack multiple data and columns on top of each other, allowing for complex custom data pulling from many different areas than software directly querying your data. Being able to connect to many different sources helps bring data together. Our customers really like the look and feel of Sisense.

What do you dislike about the product?

While the platform is generally stable and free of major bugs, more minor bugs do crop up with release versions and may go unresolved for multiple releases.

What problems is the product solving and how is that benefiting you?

Sisense helps our customers visualise the data we collect for them. It's flexability and customisability always allows us to meet the clients needs & expectations.

What do you like best about the product?

The UI/UX is straightforward and easy to use, both for building dashboards and for creating or modifying Elastic Cubes. Integrations have worked seamlessly for our organisation. Support is readily available, and there’s also a solid amount of documentation online when we need it.

What do you dislike about the product?

Performance is the only real gripe I have with Sisense. Cube builds don’t perform well when they’re handling heavy data loads.

What problems is the product solving and how is that benefiting you?

It allows us to build custom reports in a timely manner using the data we capture in our system.