KPI 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.

It can be disappointing to see the broad customization options provided by other vendors-for instance, Tableau or Power BI-not being extended to Amazon QuickSight in areas of visualization or dashboard customization. Very large datasets may slow down performance; complex queries generally cause difficulties; and integration with non-AWS data sources sometimes requires extra effort, though AWS definitely has a lot of built-in connectors. Besides, basic features are easy to learn, but advanced features like calculated fields or custom SQL queries have a steep learning curve in that it may take weeks or months to truly master all the technicalities. Even these limits might obstruct people attempting to achieve more nicely tailored or complex analytics solutions. Review collected by and hosted on G2.com.

Amazon QuickSight solves critical business problems by improving the accessibility of data for non-technical teams using an intuitive dashboard and natural language queries. With pay-per-session pricing, it has made data analysis an inexpensive option. The tool delivers real-time insights for faster decision-making by offering up-to-date visualizations and reports. Also, it centralizes data from various AWS services such as S3 and Redshift, thereby enabling efficient reporting and increasing overall efficiency. This has truly empowered data-driven decision-making across our organization. Review collected by and hosted on G2.com.

The main dislike about tableau is it's pricing. It's costly compared to other platforms Review collected by and hosted on G2.com.

Firstly Tableau is one of the great BI tool to have in any industry.

It allows us to develop the complex reports with all the major KPIs which gives the best insights of the data within short time, which inturn helps to take the more suitable decisions.

It allows the us track to all the perfomance by interpretating the data into charts and graphs which allows the users to uderstand and make strategic decisions.

Users can easily track all the outcomes and take necessary actions within shot time by using Tableau Reports Review collected by and hosted on G2.com.

Bug Error with Data Blending:

Occasionally, when blending data in a table, a bug displays "RESERVED_TOTAL" in a dimension, causing other rows to disappear.

For more details, refer to this discussion: Looker Studio Community - RESERVED_TOTAL Issue. (https://www.googlecloudcommunity.com/gc/Looker-Studio/Random-RESERVED-TOTAL-grouping-when-using-GA4-live-connector/m-p/821696)

Quota Error:

At times, data tables or metrics show a "Quota Error," causing data to stop displaying.

A quick refresh often resolves the issue, and the data reappears.

Data Blending Limitation:

Looker Studio allows merging or blending a maximum of five tables or datasets into a single table. Blending more than five tables is not supported.

Unknown Errors:

Occasionally, an unknown error occurs, preventing data from displaying. However, refreshing the page generally resolves the issue and restores the data.

If you encounter issues with data visualization, try refreshing the page as a first step. Review collected by and hosted on G2.com.

easy to maing report 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.

there's not much to dislike, the some features are relatively new, and occasional bugs do arise but the team is very quick to resolve all of these and they haven't been an issue. also great because it means we have the opportunity to provide input and shape explo's future roadmap. Review collected by and hosted on G2.com.

addresses our need for robust reporting capabilities. By offering embedded analytics, it empowers our end users to extract insights efficiently. This helps us by improving decision-making and resource allocation. Review collected by and hosted on G2.com.

At first, we were not sure if our infrastructure could fully support Kyvos capabilities because we hadn’t completely modernized our on-premises data infrastructure. However, as we transitioned to a hybrid cloud model, these issues started to diminish. Review collected by and hosted on G2.com.

We were struggling to run analytics on all our data. Slow performance was also an issue. Kyvos fixed this problem and now we can create reports and dashboards quickly, even for complex data. It enabled us to create multidimensional cubes directly on our cloud platforms, so that we can run interactive queries on billions of rows and get responses in seconds. Our sales and finance teams now analyze customer purchase trends and forecast revenue in real-time, something that previously took hours or even days. Review collected by and hosted on G2.com.

I don't really have any issues with Usermaven. There are features that I haven't configured but that is mainly due to me not digging into the documentation and learning what I can do. So if anything, I would say it's so robust, I'm not reaping the benefits of everything yet. Review collected by and hosted on G2.com.

I wasn't happy with the path and complexity of GA and was using a simpler tool, Clicky. Usermaven provided both ease of use and lots of features. Important to me was the product analytics piece as we are looking to launch a SaaS app. For the cost, Usermaven combined both well. Review collected by and hosted on G2.com.

Though this tool user friendly but I felt bit difficult when we dealing with complex workflow. It's bit expensive.

One thing I notice is it takes longer time to run the python script when we compare it to outside python tools. Review collected by and hosted on G2.com.

It helps us to create automations and it saves lot of time. We usually spends lot of time to create ppts and one automation helps us to build multiple ppts. we just need to feed the data. We can easily connect to any data source. It also benefits us to send daily, weekly and monthly reports to user by just one click. 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.

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.

At times, you need to get creative to be able to pull the data you need. If you do not have a strong set of staff it may be difficult to achieve you desired results. There is a lag sometimes to have the data pull but it is not very frequent. Review collected by and hosted on G2.com.

We use this to track the activity of our employees and our clients. We use this data for strategic conversations to help better our clients business and help make connections between lack of utilization and lack of profits, or conversely when they are using our software more they are more profitable. It helps keep our more difficult clients happy and with our company. 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.

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.

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.

There is nothing that I dislike about Knowi. Review collected by and hosted on G2.com.

Knowi solves data ingestion and UI creation while allowing for the addition of AI Review collected by and hosted on G2.com.

Hex isn't super great for power users e.g. those who've been using the Python ecosystem for years:

- You can not control the Python kernel (the latest you can use is 3.10 which was released over 3 years ago...). Critical libraries like pandas/numpy are pinned to very old versions and you can not upgrade them

- The GUI editor for creating charts is great for business users and engineers who haven't spent 10+ years learning matplotlib 😂 but for someone who has, the whole plotting interface is quite limiting and adds a lot of bloat/latency to the notebook UI

- No plugin ecosystem like other notebook solutions. I miss being able to automatically lint/apply code formatters to my cells Review collected by and hosted on G2.com.

Hex makes it easy to share data analysis with a wider audience. I actually prefer to use a local jupyter notebook for development because I find the core notebook experience much better. But I usually transfer over the work to Hex because for collaborating/sharing, Hex is much easier Review collected by and hosted on G2.com.

The process of creating custom reports or metrics offers a lot of guidance and can be a bit overwhelming. Review collected by and hosted on G2.com.

All of its functions are useful and benefit us greatly because they allow us to do many things wiht data such as analyzing, manipulating, and visualizing it. It is truly excellent and surprises with its templates and solves many problems in report generation. 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.

It has come to my attention that performance could drop when dealing with really huge data sets, which impacts the agility of analysis. Review collected by and hosted on G2.com.

To facilitate better teamwork in data analysis projects, we implemented Deepnote. In the event that we needed to find trends in consumer behaviour by analysing large amounts of data. We can run complicated analyses, see the results in real time and link directly to our database through Deepnote. Faster decision making and more complete project completion was possible thanks to the links that can be shared, which allowed us to immediately share our results with all parties involved. Review collected by and hosted on G2.com.