Kyvos Free

What do you like best about the product?

With Kyvos we are able to slice massive data across multiple dimensions quickly during planning cycles. Now, I can work with detailed historical data.

What do you dislike about the product?

Some advanced multidimensional features take time to fully explore if you are coming from traditional spreadsheet reporting. But once we started using them regularly, the flexibility became a major advantage.

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

Waiting for reports was the only option earlier. With Kyvos, our forecasting speed and variance analysis workflows have improved.

What do you like best about the product?

Our organization uses multiple data platforms, so interoperability was important for us. Kyvos semantic layer worked well across our cloud ecosystem and helped standardize analytics access without forcing us into a single BI stack. I also like that it connects with existing BI tools instead of requiring users to completely change their workflows.

What do you dislike about the product?

Cross-platform environments naturally involve additional coordination between infrastructure and analytics teams. Kyvos still handled that better than many solutions we evaluated.

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

Kyvos reduced duplicated semantic logic and simplified governance across departments using different reporting tool.

What do you like best about the product?

We track campaign performance across channels and the questions keep changing as campaigns evolve. Kyvos semantic layer has helped us to quickly move from a high-level view to detailed insights. This is especially helpful when campaigns are running live.

What do you dislike about the product?

It took a little time to get comfortable with it, but after that it’s been straightforward.

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

Earlier, getting campaign insights often involved going back and forth for updated reports. Kyvos has helped us react faster, make quicker adjustments and spend more time improving campaigns.

What do you like best about the product?

We’re responsible for ensuring that data is used correctly across teams. Kyvos semantic layer standardizes how things are consumed which reduces the risk of inconsistencies showing up in reports.

What do you dislike about the product?

It felt a bit different at first compared to how we were working earlier, but it became easier once we got used to it.

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

Different interpretations and handling of data made it difficult to ensure consistency. With Kyvos, that variability is reduced.

What do you like best about the product?

What I like is that I can explore data on my own without needing help for every question. The metrics are defined in a way that makes sense from a business perspective, so it’s easier to navigate.

What do you dislike about the product?

No issues encountered so far as we are happy with services.

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

Earlier, I had to rely on analysts for even small data questions. Now with Kyvos semantic layer, I can explore data directly and get answers faster.

What do you like best about the product?

We work with high-volume data that involves customer behavior, product interactions, time-based trends and we need to explore patterns to make important decisions. Kyvos allows us to move across multiple dimensions, drill into combinations and test different hypotheses.

What do you dislike about the product?

At first, it feels like you’re working within a defined structure rather than shaping the data freely for every analysis. Over time, that actually speeds things up, because you are not redoing the same preparation steps again and again for similar use cases.

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

Earlier, a lot of time went into preparing datasets before analysis could even begin. With Kyvos semantic layer, that initial friction is significantly reduced. Our workflow is more efficient now.

What do you like best about the product?

In our organization, we rely heavily on data during weekly and monthly business reviews. What I like most about Kyvos semantic layer is that it allows teams to get answers without slowing down the conversation. Its also made data more accessible across functions. Teams don’t need deep technical expertise to work with data, which has increased overall adoption

What do you dislike about the product?

Initially, it can feel limiting that you’re not building everything from scratch and are working within what’s already set up. Over time though, that actually brings more consistency in how teams approach analysis and avoids unnecessary variation across reports.

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

Earlier, a lot of decisions were delayed simply because data wasn’t available. With Kyvos, that lag has reduced significantly.

What do you like best about the product?

What I appreciate most about Kyvos semantic layer is how fast we can explore data across regions, products and time periods. You can move across different dimensions and drill into metrics without worrying about how the query is being handled in the background. Numbers stay consistent across reports. There’s less back-and-forth on definitions, which makes discussions more focused on insights rather than validating the data.

What do you dislike about the product?

There’s a bit of a mindset shift in how you approach analysis. Instead of building queries from scratch each time, you rely more on the pre-defined models and structures.
Once you get used to that way of working, it actually makes analysis much more straightforward across the team.

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

Our biggest challenge was working with large volumes of data without slowing down analysis. Queries used to get expensive and time-consuming, especially when multiple people were exploring data at the same time.
With Kyvos, we’re able to interact with data much more freely. It’s easier to explore trends, compare performance, and answer follow-up questions without worrying about query delays.

What do you like best about the product?

We deal with complex financial data with multiple levels and dependencies and earlier it took a lot of effort to model and maintain that structure. With Kyvos semantic layer, it’s easier to handle those layers without breaking things into smaller pieces.

What do you dislike about the product?

There’s a bit of a learning curve initially when working with more complex models, but it becomes manageable with use.

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

Earlier, building and updating financial models was time-consuming, especially when dealing with multiple dimensions and dependencies. That made scenario analysis slower and harder to iterate on. With Kyvos, we can work with the same complexity more easily, which has reduced effort and made planning cycles smoother.

What do you like best about the product?

We were using TM1 earlier and one thing I noticed after moving to Kyvos is how much easier it is to work with larger datasets. With Kyvos semantic layer, reports stay responsive even as data size and complexity increase.

What do you dislike about the product?

Transitioning from an existing TM1 setup required some planning, especially around how models were structured earlier. Once that was sorted, it has been fairly smooth.

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

We were running into limitations with TM1 as data volume and reporting needs increased. Supporting more detailed analysis often meant reworking models or simplifying requirements. With Kyvos, we have been able to work with different types of hierarchies, including nested and parent-child relationships. Also, Kyvos data model can handle changes over time without constantly restructuring.