Domo is a full self-service business intelligence software that combines several data analysis and reporting tools into one platform. It helps users connect to multiple data sources, create robust visual reports, manage their data, send messages in real-time, manage projects, and develop new apps.
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Python IDLE
Score 8.5 out of 10
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Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.
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Qlik Cloud Analytics (Qlik Sense)
Score 8.3 out of 10
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Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.
I prefer Qlik due to its ability to combine multiple data sources and flexibility offer by the data load editor, other tools lack this capability or they don't do as good of a job as Qlik
We wish we would have selected Power BI as our solution. The main reason for that is that in order to view a visualization in Qlik Sense you need a license. With Power BI that is not required.
While the same can be said for many of the other tools we evaluated, Qlik's robust community and free training programs were a major benefit to driving the democratization of data at our company. Qlik also offered local in person events (pre-COVID) that provided free training …
I have worked on IBM Cognos , Power BI for reporting and Dashboards in different organisations.
I can say the Cognos is for standard reporting with inbuilt scheduling and mail delivery services, Power BI is a bit more user friendly unlike Cognos and QlikSense.
I believe that companies that record large amounts of data about their product, service employers KPIs, etc, can make the best out of Domo for reporting and data analysis, but if a company handles little data and is not recording this consistently, it will not be of much use.
Scenarios where python IDLE is well suited 1-Quick scripting and prototyping 2-Education and training 3-small projects utilities 4-exploring python libraries and modules Scenarios where python is less appropriate 1 large scale projects 2 complex debugging and profiling 3 multi language development 4 Advanced code analysis and inspection
Qlik Sense is a program whose purpose is to greatly improve all your operations and use of all data in an organic way. The mission will always be to increase the economic and commercial processes of the company in a short time. I recommended it for its high technology, which was Created for this area, the results are successful. We have noticed how it has increased relationships with our clients thanks to the credibility and security that we provide.
Exceptional Transform area of the platform - any/all raw data can be manipulated and combined to create datasources that are very useful for our departments.
Visualization layer is clean and is very business presentable. Its simple but includes depth. Visuals can be created/used by all roles throughout our firm, its not limited to analysts.
Ability to communicate and talk about insights in the data - the communication tool is exceptional. I can @ mention specific users to bring attention to a discovery. I can start a private chat. I can annotate and communicate what I am seeing. I love it.
Mobile experience is excellent. When I am on the road i can actively monitor and engage with my team due to my Domo dashboard on my mobile device. Its amazing to run the business and not worry while away from the office.
Copying Reports - In Excel or Google Sheets, I like to make copies of similar reports and modify them as necessary for users. In Domo, makes copies of reports (called cards) but all copies are connected. So if you adjust the copy, it changes the original. This means a user has to recreate the report from scratch and then adjust it.
Unforgiving SQL - Domo does allow users to write their own SQL codes, which is great. However, Domo's SQL code is pickier than the other SQL database I've used (Metabase).
Text Alerts - Domo's alerts aren't always the smartest. Some of my dashboards are about the sales teams monthly performance and I get notified when there is a change of more than 20%. I always get notified at the start of the month that reports have changed from 'x' number to zero. This is expected because it's a monthly report and I hate getting texts about it. The only reason I don't term them off so I can be aware if something breaks in the middle of the month.
Domo is a great up-and-coming product. There are many fantastic features that are extremely compelling to our end users, which makes Domo a great fit for our organization. As with many BI tools, there are items on the wish list that could make implementation, administration and usage easier, but I believe these will be addressed over time as the product matures and evolves. The overall concept and approach of this solution has definitely raised the bar in this area of expertise and I would like to see things advance in giving the enterprise tools that will make decision making easier and more robust in the future.
Qlik Sense is a constantly improving it's software and working with its' users to make it better. They are great at keeping their users informed of progress and care about delivering a quality product
The built-in user support and intuitive design of Domo makes it simple to learn and use. I find I can spend hours drilling deep, or else quickly gain an overview in just a few minutes. This is a great advantage since the flexibility fits well with the demands of my role. I enjoy using Domo since I know it will give me comparative data across almost every variable I might want to explore - I look forward to it!
The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.
This IDE allows you to configure the environment, font, size, colors, .....
It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.
Once the IDE is executed you can start programming directly in it.
Qlik Sense has a better and easy to learn user interface compared with other analytics tool which always help us to create regular and adhoc reports within the stipulated time frame and can be easily refreshed at a scheduled time and sent to multiple stakeholders for timely update regarding the Key metrics indicator.
Pretty responsive. It took a while to get a response in selecting data points for our particular cards. Might have taken about a month? I am not sure if this was something on our end or Domo's end. But haven't had any other issues yet that required additional support from Domo.
Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
As this IDE is made in Python, the support is the same group of Python developers.
Qlik is great for companies with lots of business domains and departments because it scales well, especially if data that is reported is saved in SQL and similar structures. Its ease of use and good UI enables business units to create and manage their own reports. That removes a great burden of creating and managing/modifying these pages from the IT team. Overall, it's a win-win for both IT and business units.
It is a true web-based application so implementation is much easier and smoother compared to other non-web based BI solutions. Also, they offered consulting services during the implementation process, which was helpful. Also, they provided lots of on-demand training courses and videos, which I liked.
At the end of the day, end-user adoption and taking the burden of IT to build reports was my goal. Demoing and testing many BI tools, DOMO is the one that allowed both to happen.
It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter Notebook on my cloud desktop
The customization of the platform opens up plenty of other options depending on the use cases. The API layer is incredibly rich and makes integration of Qlik based visualization into web pages a simple and effective pattern. It's been very easy to use with a great community made up of professionals. Qlik Sense has introduces artificial Intelligence into my data visualization and reporting activity.
I mentioned a "previously un-analyzable" dataset that we were able to visualize in Domo - the result was business re-alignment for increased productivity, cost savings and ROI.
It's tough to quantify the ability to provide insights that have been desired for years but not possible - we continue to amaze our executives and product managers with the analysis we can provide.
