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Cloud-based and on-premise programming, modeling and simulation platform that enables users to analyze data, create algorithms, build models and run deployed models.
Can be used by organizations of any size, from small businesses to large enterprises.
With its all the functionality (and with appropriate training) it was the perfect tool for the task.
When you get the error, its very hard for me to find the mistakes I have done.
Another very good point about MATLAB is its ability to manipulate data and generate interactive visualizations, which have helped me to communicate results effectively.
If I hadn't had the training I received during my undergrad I would have been completely lost.
It's a powerful language with an intuitive interface, but it is best for matrix operations, decomposition, optimization tools, linear algebra, and the like.
The code is a bit finicky sometimes, and for new users it can be difficult to understand why you are getting error messages on your code.
The were a robust community file exchange that was amazing for finding code for specific tasks. Overall it was very easy to debug and learn thanks to the amount of great resources for it.
The only bad thing I find is that the it requires lots of space in our computer system and makes it slow, freeze up system if RAM is less than 4GB.
Overall google data studio serves the purpose nod ioubt and creates very impressive dashboards with great customization. Just the statistical tools can be even more improved.
The bad part about Data Studio is how often the software crashes and I have to stop all my work to fix it.
Making a dashboard for our team to use internally was so fun and intuitive, we developed a customer-facing dashboard that allows users to make exciting visualizations of their data.
Importing data can often be a pain and it is sometimes quite difficult to set up connections to refresh data sources, which makes reporting more manual and time-consuming than it should be.
One of the very great option for creating great data visualization and dashboards with ease.
But If you are not a Data Analyst or you are not into data, keep it with the premade dashboards. The options and customizations can appear a little intimidating.
The data analytics has been really great and i liked it very much. Even the dashboard is very customizable and the data visualization that comes is very impressive and appealing.
It's missing a few features, and I've noticed a few bugs here and there.
Joshua: My name is Joshua, and I work with [inaudible 00:00:03]. I'm rating Matlab five out of five. I started using Matlab where we needed to create some statistical models. So, I would recommend you to use Matlab if you ever have any statistical model you want to do, and it's pretty much easier to deploy and to use. My best part of Matlab, its deployment on virtualization. So, you could have your Matlab server deploy in Agile, deploy in AWS, or any other cloud service, and you can have your VDIs, which means you can have your Matlab being replicated on all your virtualizations with one single license, which makes it a lot of sense. Yeah. One of the bottlenecks around Matlab is when you try to renew your license, it could take you forever, because every installation for every update is always different. So, you might need to contact Matlab customer care to help you, guide you in renewing your license and uploading and installing the new license, because it's obviously so different. That is the only problem, the only issue I have with Matlab.
Andrew: Hi, my name is Andrew. I'm an SEO manager. I give Google Data Studio a four out of five. For more reviews like this, click below. Along with Google Data Studio, we currently use Power BI in addition because Google Data Studio, while it's very powerful, it doesn't have all the features that Power BI does. However, Power BI lacks a great sharing interface, to be able to share the dashboards within our organization, and that's where Google Data Studio really shines. We chose to go with Google Data Studio preeminently because it's free, but also because it has great interface for sharing, and that was one thing we were definitely lacking with Power BI. Getting started with Google Data Studio was incredibly easy as compared to an enterprise level piece of software like Power BI or Tableau. Google Data Studio operates in the cloud. So really, as long as you have a Gmail account or a Google account, I should say, you're ready to go. For a new organization looking at Google Data Studio, I would make sure that it covers all your needs. You may find, like us, that you need a more enterprise level piece of software, like Power BI, Tableau. There are many data digitalization tools out there. Google Data Studio does a great job. It doesn't have all of the features, but it's definitely a great tool.
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MATLAB
Google Data Studio
Top FeaturesMATLAB
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Google Data Studio
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