Healthcare Bi Software

While it’s fantastic for quick designs, it doesn’t offer the same depth or flexibility as professional tools when working on very detailed or complex projects. Integration is smooth but not always perfect with certain third-party apps, and support, while helpful, can sometimes take longer for complex issues. Review collected by and hosted on G2.com.

For me, the benefit is clear: it saves time, reduces costs, and empowers creativity. As an individual, I can quickly design social posts or presentations without technical skills, and from a business perspective, it helps produce consistent branding and professional-looking content without needing a full design team. Review collected by and hosted on G2.com.

Making an efficient dashboard demands selecting the right metrics and the appropriate ways to visualize data. Poorly organized source data may cause the necessity to spend extra time preparing the data for further presentation. Updating dashboards is not easy if the business requirements are often changing. Review collected by and hosted on G2.com.

The main advantage lies in the rapid access to the necessary information about the business operations. Instead of spending a lot of time compiling figures by hand, teams can use interactive dashboards for analysis and finding weak spots. Review collected by and hosted on G2.com.

One challenge I have found with Power BI is that larger or more complex reports can sometimes become harder to navigate and manage. I also find the licensing and pricing structure can be a little difficult to understand, especially when considering different requirements for users and organizations. Clearer navigation for complex reports and simpler pricing options would improve the overall experience. Review collected by and hosted on G2.com.

Power BI helps me turn raw and structured data into clear reports and interactive dashboards for analysis. I use it to identify trends, compare data, track important information, and present insights in a more understandable way. It also works well with my Excel workflow, making it easier to bring prepared data into Power BI for deeper analysis and visualization. This reduces manual reporting work and helps me make data easier to interpret. Review collected by and hosted on G2.com.

The cost is high, and I also have to keep track of my credit usage. Review collected by and hosted on G2.com.

Domo solved our fragmented sales reporting problem. Key business metrics like quota attainment, run rates, new business performance, pipeline, and lease maturity used to live across multiple reports, systems, and personal spreadsheets, and gathering and validating it all took significant time. Quarterly Business Review prep alone took each sales manager 10-15 hours; that work is now largely eliminated because everything lives in one centralized, validated platform. Beyond time savings, the biggest benefit is better decision-making: managers identify at-risk opportunities sooner, adjust forecasts throughout the month instead of waiting for quarterly reviews, and use the data to coach their teams week to week. Forecasting accuracy, customer retention conversations, and overall business visibility have all improved. Review collected by and hosted on G2.com.

Looker can feel complex for new users and takes time to learn. It could improve with simpler setup steps and more beginner-friendly guidance. Review collected by and hosted on G2.com.

I use Looker to analyze data and create reports. It helps me turn raw data into clear insights quickly, automate dashboards and queries, and make faster, better decisions with real-time insights. Review collected by and hosted on G2.com.

One downside is that troubleshooting can sometimes be difficult when a pipeline fails, as the error messages aren't always detailed enough and you may need to dig through multiple logs to find the root cause. The platform also has a lot of features, so it can take some time for new users to become comfortable with everything. While serverless is convenient, costs can increase if compute usage isn't monitored properly. I'd also like to see faster UI responsiveness in some areas, especially when navigating large job histories or catalogs. Review collected by and hosted on G2.com.

Databricks has helped me and my team simplify our data engineering workflow by providing a single platform for data ingestion, transformation, governance, and analytics. We use it to process data from Bronze to Silver and Gold layers, which has made our ETL pipelines more reliable and easier to manage. Features like serverless compute, Unity Catalog, and built-in monitoring have reduced operational effort, improved collaboration across teams, and helped us deliver data products faster. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

While Agency Analytics offers a solid range of integrations, I'd love to see even more options available. Given their current offerings, I'm not particularly optimistic that requesting a new integration would yield results. It's worth noting that what they do have is still quite impressive, though. Review collected by and hosted on G2.com.

Agency Analytics has streamlined my marketing reporting workflow. The platform significantly reduces the time I spend on reporting while enabling me to demonstrate my expertise to clients with polished, professional reports. Data syncs seamlessly from other platforms in real time, and the intuitive interface requires minimal effort to navigate. Their AI-powered insights feature accelerates my analysis process, allowing me to make data-driven decisions quickly and confidently. Best of all, the competitive pricing combined with responsive, knowledgeable support makes it an exceptional value. 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.

One thing I don’t like about Alteryx is that it can be expensive, especially for smaller teams. It also takes time to learn all of its more advanced features, and when workflows get large, they can sometimes become difficult to manage. Aside from those drawbacks, it has been a reliable tool for data preparation and analytics. Review collected by and hosted on G2.com.

Alteryx helps me solve the problem of manual, time-consuming data preparation. It makes it straightforward to clean, combine, and transform data from different sources all in one place. This saves me a lot of time, reduces errors, and lets me get to the analysis much faster. As a result, I can spend more time finding insights instead of spending hours just preparing the data. Review collected by and hosted on G2.com.

One aspect I find challenging about SAS Viya is its tendency to be resource-intensive, often demanding substantial CPU, memory, and storage to operate efficiently, particularly in larger environments. The process of installation and upgrading can also be quite complicated, as it typically involves coordinating multiple services and dependencies. Furthermore, troubleshooting can be a lengthy process, since it sometimes requires in-depth knowledge of both SAS components and the underlying infrastructure. I also think that some users might perceive the interface and integration with third-party tools as less intuitive when compared to more modern, lightweight analytics platforms. Review collected by and hosted on G2.com.

SAS Viya is solving the problem of managing, analyzing, and visualizing large volumes of data efficiently across different environments. It provides a unified platform for data integration, advanced analytics, and machine learning, which helps streamline workflows and reduce the complexity of moving between tools. By enabling collaboration between data scientists, analysts, and business users, SAS Viya improves productivity and decision-making. Its scalability and ability to run on cloud or on-premises infrastructure also allow organizations to handle growing data demands with flexibility and performance. 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.

The biggest drawback is performance with large-scale analyses. While Hex handles most workflows well, resource-intensive notebooks and large queries can occasionally lead to slower execution and require optimization. Some advanced collaboration, governance, and enterprise features are only available on higher-tier plans. Customizing highly interactive dashboards is not as flexible as in dedicated BI tools. Review collected by and hosted on G2.com.

Hex solves the challenge of bringing data exploration, analysis, visualization, and collaboration into a single platform. Instead of switching between SQL editors, Jupyter notebooks, BI tools, and presentation software, Hex provides one workspace where technical and business users can work together. Combines SQL, Python, visualizations, and dashboards in one environment. Simplifies collaboration by allowing multiple team members to work on the same project. Makes it easy to create interactive reports that stakeholders can explore without technical knowledge. Connects directly to cloud data warehouses and databases for real-time analysis. Reduces the effort required to move from raw data to shareable business insights. In my workflow, Hex helps streamline data analysis and reporting by keeping everything in one place. I can query data, perform Python-based analysis, build visualizations, and share interactive dashboards without exporting results across multiple tools. The biggest benefit is improved collaboration and faster decision-making. Hex shortens the analytics workflow, making it easier to deliver insights, collaborate across teams, and turn data into actionable outcomes more efficiently. Review collected by and hosted on G2.com.

Honestly I don't see any so far: If at all, it requires relatively high technical skill. It cannot be used effectively by a "plug-n-play" BI Analyst.

If the price is an issue, one can consider self-hosting. Review collected by and hosted on G2.com.

I started off liking Tableau as a BI tool better than PowerBI.

Then, I could see the compute downsides and missing git repo in Tableau compared to Looker.

Then, I can see the issue that Looker is very expensive and that Looker is not dbt integrated, i.e. you constantly need to maintain two disconnected repos and make changes in two places.

Lightdash is by far the best BI tool out there today. Review collected by and hosted on G2.com.

Some corners of the UI/UX still have room to improve. A few of the admin and settings screens feel denser than they need to be, and there’s a learning curve in places. That said, they’ve taken big, visible steps over the last year—a refreshed dashboard UI, themes, and a much cleaner AI chat experience—and the trajectory is clearly moving in the right direction.

With AI, you still need to double-check the results, since it can sometimes get things wrong. However, they make it easy to validate during conversations that the AI has computed the right results. Review collected by and hosted on G2.com.

We moved to Knowi from a well-known cloud BI platform. The previous tool required pushing all of our data into its own store before we could visualize anything, which meant ETL pipelines to maintain, sync lag, duplicate storage costs, and our NoSQL data getting flattened along the way.

With Knowi, we unified analytics across all of our datastores without moving the data and launched customer-facing embedded dashboards much faster. Row-level security and secure embeds ensure each customer sees only their own data. The semantic layer keeps metrics consistent across every surface. And with the new AI and agentic capabilities embedded in our product, customers can self-serve answers that used to come in as support tickets and custom report requests, so our team can spend its time on the product rather than on one-off reporting. 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 would love to see certain Instagram features like daily likes and sometimes I find that certain data points that clients are asking for are not available. Review collected by and hosted on G2.com.

I use Swydo for client reporting and analytics allowing us to avoid extra phone calls. It integrates various platforms, servicing clients well. Setup is quick and reports are timely, with shared links that don't change. Review collected by and hosted on G2.com.

While it handles standard SQL queries exceptionally well, it occasionally requires a bit of manual tweaking for highly customized schema logic or non-standard SQL dialects. Also, the query generation speed can sometimes slow down slightly during peak usage, though it rarely affects the overall workflow. Review collected by and hosted on G2.com.

BlazeSQL has eliminated the bottleneck of writing repetitive SQL queries for ad-hoc data requests. It bridge the gap between non-technical stakeholders and complex database structures, allowing our team to generate reports and extract data insights significantly faster. As a result, it saves us hours of manual query writing each week and speeds up overall data-driven decision-making across projects. 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.