Dashboard Software

1. if the dataset are large and complex relationships are developed, then the performance decreases.

2. Some visulization which are third party are expensive in PowerBI, quite frankly this should have been default visulization in PowerBI example : Radar Chart, Box plot Review collected by and hosted on G2.com.

1. The management gets to see the live performance of the metrics which makes the decision making easier, if we have comnnection to Azure, Datalake etc, then the refresh frequency can be increased in a day.

2. Easy to visulise the data, although DAX is slighlty complex, but if one masters it or able to take help of community forums one can accomplish in making dynamic charts which. Review collected by and hosted on G2.com.

I haven't really used it long enough to find any disadvantages. So, at this moment, I have none. Review collected by and hosted on G2.com.

I am a recent graduate in the tech industry, so i'm always looking for ways to upskill. With Amazon Quicksight, having access to the AWS training, even though digital, for free, is very important to my growth and my experience. Review collected by and hosted on G2.com.

There isn’t much to dislike. When you are completely integrated with Tableau, down servers or other tech hiccups can really halt your workflow, but that is the case with any tool. Review collected by and hosted on G2.com.

It is democratizing data for us. From virtual connections to transformations in prep, Tableau is enabling us to put data directly into the hands of our analysts to do what they know to do best! Review collected by and hosted on G2.com.

Sometimes when you have multiple charts setup on the page some of your charts are loaded while the others don't load until you refresh the page in your browser.

I have experienced this while accessing the platform on Windows and also macOS. Review collected by and hosted on G2.com.

There were a lot of important business decisions that used to take a lot of time when we were not using Looker. Since we have started using Looker, our data is in the visual form (charts) which help us make the decision faster.

The cross filtering function of Looker helps us solve the issues regarding critical metrics of various business units and departments. Review collected by and hosted on G2.com.

I alerady talked about ease of implementation! But sometime I feel like the default free tier computational power is not enough. I acknowledge the fact is, with premium susbscription I can unlock other features too. But as a student, who only needs noteable for educational purposes, feels like 1vCPU and 4 GB RAM is not enough, cause sometime I use this same CPU and RAM to 100% usage. I feels like at least 8 GB RAM and 3-4/4-6vCPU and unlimited storage (or you can limit storage to 128 GB) should be in a free tier for users. This will set the great impression of noteable to others who will use your services for first time! And help noteable to set as a great alternative for Google Colab.

Therefore,this will increase the integration of noteable to other platforms. If you guys can do this, then i will love to increase my frequency of use.

Consider about it! Review collected by and hosted on G2.com.

As I talked about this in my product rating window, what I like about noteable! Noteable helps me to collaborate with other with little or no computational process on my computer.

The main problem was with Jupyter notebook, I was unable to share my work with other, but this limit cap removed when I started using noteable! Hence, noteable helps me to collaborate with others on same topic! Review collected by and hosted on G2.com.

Once up and running, it’s much easier to maintain, but any updates or changes still require a bit of effort and technical management. While Kyvos offers a lot of benefits, the setup and learning curve could use some improvement. Review collected by and hosted on G2.com.

• After trying a bunch of open-source tools that didn’t work for us, Kyvos has helped us get the most out of our data which we can now use to make better decisions

• Kyvos also made it easier for our team to explore data on their own, without needing any technical help. Review collected by and hosted on G2.com.

Nothing that I dislike specifically but I think they really need a module to integrate scripting. The ability to integrate Python scripting within data models or dashboards would really take it to the next level. This could be awesome for data manipulation and some more advanced analytics.

Also, the mapping utilizes Mapbox which I’m not a huge fan of. I really wish it could integrate layers and the use of multiple shapefiles.

I do also wish it had a few more options on the visualizations. I think there are some additional options could really set it apart. Review collected by and hosted on G2.com.

Ease of access to our Snowflake warehouse. It creates a window to our data that allows users to access, interact with, and utilize for analytics without having to give them access to the actual warehouse.

The reporting feature and the write back feature are addressing several needs for data collection and triggered reports for users. Review collected by and hosted on G2.com.

The tool is costly for small enterprise needs which makes it difficult to get access to. Also, the tool has limited visualization features and the customer support team is not super responsive with the queries Review collected by and hosted on G2.com.

We were being provided by couple of raw data by the clients which contained HCP level sales information for different drugs along with their account affiliations. The tool was used to merge and rollup data at account level and helped in top accounts identification Review collected by and hosted on G2.com.

While using Usermaven, I noticed some fundamental gaps. The e-commerce integration was a headache. That said, I haven't regretted the switch. The privacy features made it worth it for us. Just go in with your eyes open about what you're trading off - you get better privacy protection and usability at the cost of some deeper functionality that more mature platforms offer. Review collected by and hosted on G2.com.

Usermaven completely transformed how our agency handles analytics. We were constantly fighting with missing data from ad blockers and privacy concerns from clients, but their cookieless approach fixed both issues overnight. Our team trusts the numbers now. Before Usermaven, we'd always add qualifiers in client reports like "these numbers are likely underreporting by X%." That guesswork is gone. I'm not going to lie, switching analytics systems mid-year was a pain, but it's been worth every minute of the hassle. It was the best decision we made. Review collected by and hosted on G2.com.

I expected a filters feature. They are working on it and have an early version out. To get other people (non engineers) in my team to play with , i would love a filters feature (tableau does this well) Review collected by and hosted on G2.com.

Helps me stay on top of critical KPIs.

for exampel, i wanted to knwo if a price change affected the logo retention of my product. The answer was more complex. It did affect - 50% percentage of my customers froma. specific cohort and had no effect on the others. I should have raised the price on.1 segment but not the other.

if i had equals earlier, i could have seen this and taken the right decision. Review collected by and hosted on G2.com.

Explo still misses out on few features which other dashboards offer.

I have seen team working on new features like global data sets and data drill downs. Hope more features would flow-in in future. Review collected by and hosted on G2.com.

Our application is holds huge amount of data, Explo helps us to create hassle free dashboards which helps us to view that overall data in a glance. Review collected by and hosted on G2.com.

The only downside which I can think about is the licensing cost of the product which should be affordable so that small time players can also use this amazing product. Review collected by and hosted on G2.com.

It's helpful in solving day and day out business needs.

Also as we are into energy business there data is the key with Oracle cloud solutions team is able to forcast the prices of commodity as well as forsee and market risk allocate to commodity prices by factoring the forecasted trends associated to each commodity Review collected by and hosted on G2.com.

Its task and wizards is not available in programming window, which makes it a little bit like a SAS EG application only. rest every other thing is beyond expectations in a good way Review collected by and hosted on G2.com.

Although I have only used the trial version of Sas Viya previously, due to its higher licence cost we still have not implemented it yet but in future this Viya will be the king of all. And yes, as far as the benefit is concerned, there is no need to learn programming inorder to apply statistics. Though with SAS Viya there is no more need to do programming but it also helps us by showing us the backend code as in how it applied all the tests and statistics, so from there we can learn about programming in detail. Review collected by and hosted on G2.com.

A drawback to GoodData is that it is a slow process to adapt it to particular business needs. Though the platform is very flexible, being able to change things is dependent upon the familiarity that gets very little. Some features require technical knowledge to modify and you have to rely on specialists for adjustments. That slows down work if immediately quick changes are required as we can’t always develop changes right away for additional support. Review collected by and hosted on G2.com.

GoodData helps with the problem of structuring information in a way that is easier to act on. We don’t have to go through several reports manually, please review insights that are organized and provide trends and changes. It has increased the way we capture performance and make decisions because we do not have to compile various pieces of information together. This has also allowed our team to work more efficiently, since everybody is able to quickly work with what they need without extra back and forth. Review collected by and hosted on G2.com.

I wouldn’t use it for deep learning or anything too heavy, for that, I stick with VS Code.

But for focused analysis, testing ideas, or getting quick insights, it’s genuinely lovely to use.

A few more customisation options would be a nice. Review collected by and hosted on G2.com.

It’s taken a lot of the faff out of my day-to-day analysis.

I use Deepnote when I want to get stuck into data quickly without spending half an hour setting everything up.

It’s especially helpful when I’m working with pandas, if something goes a bit pear-shaped, I can just roll back and try again, which makes experimenting much less stressful.

It keeps my workflow tidy and saves me time, which is honestly a breath of fresh air when you're deep in the middle of a research project. Review collected by and hosted on G2.com.

While Knowi has been a great fit overall, one area with room for improvement is the learning curve for some of the more advanced features. For new users, it can take a little time to fully understand the best way to structure queries or leverage all the platform’s capabilities, especially when dealing with complex data sets. However, their documentation and support team are very helpful, and once you're up to speed, the flexibility is worth it. Review collected by and hosted on G2.com.

Knowi solved a major challenge for us in delivering reports to our clients. Instead of manually emailing reports, we can now embed interactive dashboards directly into our platform, giving clients real-time access to their data. Additionally, Knowi supports most of the data source connections we need out of the box, which saves us from having to build and maintain complex API integrations. This has significantly streamlined our reporting process and improved the overall client experience. Review collected by and hosted on G2.com.

I struggled to fill in this section. Theres not much in terms of functionality or engineering that is missing at all.

I think the area of improvement may be scope and breadth of visualisations such as geo-spatial ones and clustering maps which are common dashboards outside of the pure BI arena Review collected by and hosted on G2.com.

-Answering Business Questions

-Collating and governing thematic data accesses

-Better data story telling

-Novel ways of managing alerting and native testing of dashboards Review collected by and hosted on G2.com.

For people who are just starting to use this tool for business reporting or who have little experience in data analysis, there may be a very slow learning curve associated with mastering Power BI. At first I found it a little difficult to handle. Review collected by and hosted on G2.com.

One problem I had was managing and handling large databases which can be difficult and time consuming at first.

The solution I got from Power BI was its easy-to-use interface once I learned all the visualization options. This made it easier for me to create reports and interact. This improved my interpretation of data and helped me with decision making. Review collected by and hosted on G2.com.

Sometimes you need to be patient with loading time and you need to pay attention to the data you've clicked on when you're exporting Review collected by and hosted on G2.com.

Before Discern, our ARR reporting was a tedious, manual process prone to human error and inconsistencies. It took days to reconcile and make sense of our subscription and opportunity data. Discern has allowed us to automate the process, enabling us to refer to historical data and know it was an apples to apples comparison. Instead of manually piecing together reports, we can confidently review our ARR and CARR in just minutes, saving us substantial time and improving data accuracy. Review collected by and hosted on G2.com.

The three things I feel most limited by are:

1. It would be really nice to be able to support Python packages like pymer4 that rely on an R instance to run. There are many statistical packages that are R only.

2. The R functionality is basic compared to what is supported in Python. Would liek to see that built out.

3. Hex is pretty limited computationally compared to even my local machine. I often run into a bottleneck in terms of pure computation. Review collected by and hosted on G2.com.

I use Hex as a souped up Jupyter notebook with native SQL and it is fantastic for that purpose. The evolving charting and interactivity components are a nice cherry on top. Review collected by and hosted on G2.com.