Healthcare Bi Software

To be honest, there’s nothing I dislike about Canva. It has helped me with so many projects that I’m very familiar with it. The only thing I’d say needs improvement is its AI/intelligence, because it isn’t as good at generating content as other AI chatbots. Review collected by and hosted on G2.com.

Canva helped me solve a lot of communication and branding problems. When I started at this company, it lacked consistency across designs and all the flyers were outdated. Thanks to Canva, I was able to bring harmony to the company’s brand and update the flyers with artistic, beautiful, and professional designs. All with little effort thanks to Canva's performance and tools. Review collected by and hosted on G2.com.

Pricing is a significant barrier, Tableau's licensing costs can be hard to justify for smaller teams or organizations still building out their data culture. The onboarding curve is steeper than it looks; while the basics are accessible, mastering calculated fields and LOD expressions takes real time. Support resources are decent but can feel generic. Native AI/ML features are still catching up to competitors, and embedding Tableau into external tools requires more technical lift than it should. Review collected by and hosted on G2.com.

Tableau helps bridge the gap between raw data and business decision-making. Instead of static spreadsheets or ad-hoc reports, it gives stakeholders a single, interactive view of performance metrics they can explore themselves , reducing back-and-forth with the data team. For FinOps and cloud cost reporting specifically, being able to visualize spend trends, anomalies, and forecasts in real time has made it easier to drive accountability across teams. The ROI shows up in faster decisions and fewer hours spent manually compiling reports. Review collected by and hosted on G2.com.

The Direct Query mode may be considered an absolute necessity for real-time analytics; however, it requires significant effort to improve its effectiveness in a cloud environment such as Snowflake. The main problem with Direct query mode is the delay in visualisation refresh of reports due to extra load in terms of metadata exchange and query transformation. Review collected by and hosted on G2.com.

Power BI was able to completely solve our problem of having “Excel Hell” through the automatic consolidation of data from multiple sources, such as SQL, Salesforce, and local files, into one consolidated database. We were able to save 12 hours per week of data collection because of the automation done by Power BI, which reduced errors by 100% and allowed us to concentrate on doing other things more important than collecting data manually. It was easy for us to adopt Power BI since it seamlessly integrates with Microsoft 365 and has a vast international support network. Review collected by and hosted on G2.com.

Only thing that looker has to work on is sometime it feels like their dashboard is not responsive or taking too much time to load respective filters especially when loading large historical data and also each time we need to click on submit icon to get the filtered data which can be automated in future Review collected by and hosted on G2.com.

Mainly it helps on solving data silos and as recently they integrated LookML in their backend logic, all our data stays in organized and also helps to create data models and relationships with them so that we can just use already defined field without writing complex SQL query which helps to speed up my workflow Review collected by and hosted on G2.com.

I think it would be beneficial for more very specific examples of conversational analytics scenarios done as demonstrations to be available to view. Other than that, the process of using Kyvos has been very smooth. Review collected by and hosted on G2.com.

We have a lot of very large and complex data sets to look at, and typical BI tools limit our ability to look into the data quickly. We needed a solution to look for insight through conversational analytics that was scalable and that had a good relationship with our business context. Kyvos was by far the best option available after looking through the other choices made available to us. The results have been that our teams have been able to get much quicker insight with greater accuracy through asking questions in the way we would normally ask other people. Review collected by and hosted on G2.com.

Honestly, there’s not much to dislike. If I had to mention anything, it’s that building out complex dashboards can be a bit involved at first, especially with lots of moving parts like paid and organic social. But the support team makes this process much easier and is always available to help. Review collected by and hosted on G2.com.

Helping visibility of data Review collected by and hosted on G2.com.

AgencyAnalytics' UI got updated, and the navigation through the tool was difficult for a couple of weeks. Once we got familiar with the new UI, things got better again. Review collected by and hosted on G2.com.

In my personal opinion, actually reporting to the clients is very easy with AgencyAnalytics. We have built templates for dashboards and reports, and onboarding a new client on AgencyAnalytics can be done in minutes.

For me, AgencyAnalytics' main benefit is "time saving or time management". Review collected by and hosted on G2.com.

Domo does take a bit to learn. Some users don’t put in the time to learn it and expect everything to be very intuitive. Review collected by and hosted on G2.com.

Domo gives me a pulse on problems by letting me see performance across various metrics quickly. It connects to 1000+ data sources, making data integration convenient. Review collected by and hosted on G2.com.

If I had to nitpick, the initial UI for the truly deep engineering stuff can be a little much for new users, but once you get past the initial setup (which is covered well by Customer Support and training), the daily use is very intuitive. The Interactive Sessions feature is also amazing for cutting down on Spark job startup time, making my day-to-day work way more efficient. Review collected by and hosted on G2.com.

ILUM solves a few major headaches that were common in the big data world. The main problem is fragmentation—trying to stitch together separate, expensive data lakes and data warehouses, which leads to messy data silos, inconsistent results, and a lot of unnecessary work. Older proprietary systems like Cloudera or Databricks are costly and lock you in. ILUM gets rid of those problems. It's an open-source based Data Lakehouse platform that unifies everything.

For me as a user, this translates to tangible benefits. First, it is much faster. The interactive Spark sessions eliminate those 20-40 second job start times, and processing can be up to twice as fast overall. This means I'm not waiting on the infrastructure; I'm actually doing my job. Second, it's cheaper and more efficient. The platform is zero-license, Kubernetes-native, and runs anywhere (cloud, on-prem, hybrid), which drastically cuts infrastructure costs—we talk about 60% savings for clients. That budget can go to actual development, not just licensing fees. Third, it provides clarity and governance with features like automated Data Lineage and a central Data Catalog, so I can trust the data's quality and know exactly where it's been. In short, it lets me focus on the challenging and valuable work of data science and analytics instead of wrestling with complex, slow, and expensive tools. Review collected by and hosted on G2.com.

I think there could be more guidance for different types of API connections for popular platforms like Shopify, Google Analytics, and Tableau. It can take time to get everything set up correctly the first time with Knowi's platform and API documentation. Review collected by and hosted on G2.com.

I use Knowi to dashboard ecommerce performance, eliminating the need for manual CSVs and handling data beyond Google Sheets limits. It ensures my data is current, saves time, provides easy consumption, and the onboarding and support help resolve issues fast. Review collected by and hosted on G2.com.

I would like the agent to have a few different modes - like "fast" or "thinking" etc. Review collected by and hosted on G2.com.

Hex makes data analysis and dashboard creation much easier, eliminating the need for a data scientist. I can do it all on my own by guiding the AI agent, which finds, transforms, and presents data. Review collected by and hosted on G2.com.

What I previously was the ability to report ROAS automatically. It was only possible to add this manually. However, I am not sure whether this is currently supported. For now, this is not a priority for my dashboards. Review collected by and hosted on G2.com.

I use Swydo to visualize campaign data in an appealing way, combining multiple sources into structured dashboards. It gives me an easy overview of results to use in client meetings. Review collected by and hosted on G2.com.

Gets a bit laggy when workbooks have a lot going on lots of elements, big datasets, that kind of thing. Some of the advanced features aren't super intuitive at first, you kind of have to figure them out on your own. Not a dealbreaker but could be smoother. Review collected by and hosted on G2.com.

We were spending way too much time building one-off reports for people. Now with Sigma, teams can build their own dashboards and trackers we use it for migration tracking, client project reporting, and internal operations tracking. The Snowflake connection was easy to set up and stays reliable, so everyone has access to real-time data whenever they need it. People don't need to come to us for every little thing anymore, saves a ton of time. Review collected by and hosted on G2.com.

Honestly, I can't find any faults with it at all; everything seems to be working perfectly without any issues. The quality and performance have exceeded my expectations, and I have thoroughly enjoyed the experience. It's rare to come across something that meets all my criteria so well. Overall, I'm genuinely impressed and satisfied with it. Review collected by and hosted on G2.com.

Customer service for my clients. I have all of my clients weekly SEO reports come to my inbox and it allows me to take actions when needed. My clients also love being kept in the loop. Review collected by and hosted on G2.com.

I don't know if it's a Google setting or Coefficients setting, but at times when I need a SF report to push to Gsheets, there are too many rows I think (it can't go higher than 50-60K it seems) which isn't helpful for me, because we have a lot of data.

I love the free T-shirt you sent me awhile back. The blue one. Can you send me a new T? I like repping the brand. Review collected by and hosted on G2.com.

Enabling the latest calculations and refreshes of our Salesforce reports populating external dashboards and resources used by our sales team, ops team and executive team Review collected by and hosted on G2.com.

As a first-time user, I found a few areas where Yellowfin could be improved. Some of the advanced features were not immediately intuitive, and I needed to spend extra time experimenting to understand how to use them effectively. I also sometimes felt restricted in how much I could customize certain charts and layouts—while it works well out of the box, making detailed adjustments to the appearance isn’t always simple. Overall, it’s a capable tool, but there is definitely a learning curve once you go beyond the basics. Review collected by and hosted on G2.com.

Yellowfin BI has enabled us to transform our ELR and Leave Administration case data into clear, actionable insights. Previously, much of our reporting was manual and reactive, making it difficult to keep up. With Yellowfin BI, we can now create dashboards and schedule reports that consolidate trends in grievances, corrective actions, leave volumes, turnaround times, and case outcomes all in one place. This centralized approach allows leaders to monitor workloads more easily, identify emerging issues sooner, and recognize opportunities for process improvement. Additionally, it has helped us standardize case reporting across the organization, leading to greater transparency and more informed decision-making. Review collected by and hosted on G2.com.

The manual could be in Portuguese to facilitate learning and searching for information. Review collected by and hosted on G2.com.

I use dataPARC for quick and automatic response, didactic data visualization with dashboards and email alerts, support in data comparison, and monitoring of the production process. Review collected by and hosted on G2.com.

local data agent doesen't necessarily supoort the lateset JRE builds Review collected by and hosted on G2.com.

It helps us create a single source of truth for all of our disparate information sources. Review collected by and hosted on G2.com.

I would appreciate a stronger stock image library. When searching for more technical or industry-specific terms, the available image selection is often quite limited and doesn’t fully meet my needs. Review collected by and hosted on G2.com.

I can store and manage my asset library, add company elements such as logos and fonts, and create strong visuals that stay fully aligned with our brand guidelines. Review collected by and hosted on G2.com.

Regarding areas for improvement, I do have a few ideas.

I think the construction of frames could live in a separate canvas, similar to how Tableau approaches dashboards. This would offer the best of both worlds: plots would remain close to the queries that generate their data, while still allowing the creation of a dedicated dashboard that brings everything together.

There are also some smaller usability issues that can make the interface feel unintuitive at times. For example, when creating custom plots, individual marks cannot be named, which makes it harder to understand what each mark represents. Similarly, when multiple marks are used, it’s not always clear which variable is assigned to the secondary axis.

Some solutions also feel a bit hacky—for instance, adding vertical lines to indicate events by using bar plots, where it’s not always obvious how to control the bar width cleanly.

Overall, these are relatively minor points. They don’t slow me down in my day-to-day work, and I see them more as a wishlist than as real blockers. As with any tool, there is always room for improvement—but Count is already a superb product. Review collected by and hosted on G2.com.

Count solves the problem of fragmented analytics workflows by bringing queries, plots, text, and reviews into a single place, which makes analyses naturally self-documenting. This benefits me because I can always trace results back to their underlying logic and interpretation without losing context. It also addresses code duplication by allowing results to be referenced across tiles, in a way that feels similar to a DAG in dbt. As a result, I can break complex queries into clear, reusable components and iterate much faster.

Count also solves the rigidity of traditional dashboards by giving you control cells to define filters directly in the analysis. This gives me far more flexibility than organization-level filters and avoids the need for hacky workarounds. Another key problem it solves is reviewability: comments, interpretations, and feedback live right next to the data. That makes collaboration easier and decisions easier to justify.

Finally, Count reduces the risk of getting stuck with tool limitations thanks to a very responsive support team. Knowing that feedback is heard and often translated into product improvements makes me confident in relying on Count for my day-to-day analytical work. Review collected by and hosted on G2.com.