Synergies is a cognitive application service provider that combines business knowledge, artificial intelligence technology, and software development. Their mission is to help businesses through their digital transformation journey, become leaders and innovators in their industries by unlocking the power of data in the hands of business users and decision makers. Their product, JarviX, is an AnalyticOps Platform . JarviX uses NLP…
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MATLAB
Score 8.5 out of 10
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MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.
JarviX is very good at data integration, creating charts and reports for data visualization. It is really impressive that Jarvix can let our marketing team know the number of members living in a specific area in seconds. In addition, the product manager from Synergies is willing to help us with all problems we encounter. I accidentally changed one of the settings in a data table which threw the existing dashboard into chaos. However, after assistance from the product manager, we were able to successfully bring the data back to normal.
MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.
There should be more flexibility in changing the data tables uploaded into JarviX. For example, it should enable users to edit the syntax of the table or change the data format of the columns without affecting the existing dashboard and charts already created using that data table.
MATLAB is pretty easy to use. You can extend its capabilities using the programming interface. Very flexible capabilities when it comes to graphical presentation of your data (so many different kinds of options for your plotting needs). Anytime you are working with large data sets, or with matrices, MATLAB is likely to be very helpful.
The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.
Tableau and Power BI. Obviously, they are not in the same category. Tableau and Power BI only provide data visualizations plus a little bit of analytics. JarviX not only provides data exploration, so you can find out what the problem is, as well as model management and App builder. If you only look for a dashboard, yes BI is probably enough, but if you constantly feel lacking actionable insights for actual implementations of improvements, JarviX is the choice for you.
How MATLAB compares to its competition or similar open access tools like R (programming language) or SciLab is that it's simply more powerful and capable. It embraces a wider spectrum of possibilities for far more fields than any other environment. R, for example, is intended primarily for the area of statistical computing. SciLab, on the other hand, is a similar open access tool that falls very short in its computing capabilities. It's much slower when running larger scripts and isn't documented or supported nearly as well as MATLAB.
I think the best part of JarviX is that we can get the analysis results in several minutes. We spent lots of time making reports and managing our data in the past. All in all, it helps us save the time, cost, and labor of managing data.
MATLAB helps us quickly sort through large sets of data because we keep the same script each time we run an analyzation, making it very efficient to run this whole process.
The software makes it super easy for us to create plots that we can then show to investors or clients to display our data.
We are also looking to create an app for our product, and we will not be able to do that on MATLAB, therefore creating a limiting issue and a new learning curve for a programming language.
