MATLAB vs. Zoho Analytics

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.

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Zoho Analytics is the best way to consume data created by Zoho products . It's robust and quick build formula libraries and auto generated reports. A data source can be integrated and be ready for consumption within minutes. This gives a well developed baseline for organizing to develop advance analytics. It's mobile dashboards are very intuitive and useful for leaders who are on the move.

• It has a very user friendly library which helps users learn this software fairly quickly in a short span of time.
• The graphical user interface provided by the software is really good.
• The code that a person writes allows options for debugging.
• One can visualize the flow of control of their code inside MATLAB.

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• Zoho Analytics’ predictive analytics capabilities can help forecast future trends, allowing for proactive planning and risk management.
• Performance Monitoring: We can track key performance indicators (KPIs) across departments, such as sales, marketing, finance, and HR. This aids in identifying bottlenecks and areas for improvement.
• Decision making regarding resource allocation.

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• MatLab is pricier than most of its competitors and because of this reason, many organizations are moving towards cheaper alternatives - mostly Python.
• MatLab is inefficient when it comes to performing a large number of iterations. It gets laggy and often crashes. Python is better in this regard.
• There is a limited number of hardware options (mostly NI) that can be connected directly to the data acquisition toolbox.

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• I'm guessing it's out there somewhere but I really could have used a 'quick start guide' or guided start.
• Once I figured it out, it makes sense how to make sure the right data is provided in order to make dashboards quite flexible--- but without examples, I found it quite a challenge
• The initial organization of Analytics is NOT intuitive. Once in context, the organizational features make sense, but (at least initially) it would have been most useful if the organization of Analytics reports in Zoho Analytics had saved me a lot of time.

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I'd give this an 11 if I could! As our business moves forward we hope to use Zoho Analytics more then we do now. Creating better reports and dashboards for our management team to evaluate the health of our business and to provide more insightful reports for our customers. The possibilities are endless with this tool

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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.

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For an end user, Zoho Analytics is pretty easy to use and very easy to access the dashboard. Linking data from multiple sources is very convenient. Multiple people can work on preparing and publishing the dashboards simultaneously, which helps delegate tasks.

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ZOHO is a very reliable company/product. We never had any issues with downtime or inaccessibility to our data. Any type of maintenance that they had to perform was clearly communicated and never an issue. We use a lot of external hooks and we've never had any issues with getting ZOHO to communicate with any of those hooks.

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ZOHO has obviously invested a lot of time effort and money in to creating a reliable infrastructure with high availability. We've never had any issues with performance and all of our data crunching small to large has always been well within reason. We have come to appreciate the performance of ZOHO and will continue to use it for all of our data needs.

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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.

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The support team is honestly not that great. At times, it seems as if members of our own team know more about the product than the support team. They must not have a lot of training or the turnaround is quick

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If your external data sources are previously organized and correlated (e.g.: in your datawarehouse or database) your implementation will be easier. Of cource some not previously predicted correlation would be necessary to be done during the implementation, but if your organization let it to be all done into Zoho Analytics, it will take more time from your team.

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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.

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Zoho Analytics has the best UI and user friendly to create reports and dashboard along with features like Zia Assistance that guide in creating reports and dashboard and also help in the forecasting of the data based on the past records.

As far as I know, Zoho Analytics has been able to fulfill every need we've had for it. Our reports have gotten better and more detailed with pretty much every new issue of our magazine. It just keeps getting better, and we keep feeding it more data to digest and present to us.

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• 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.

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• Analytics has been the foundation of my role. I manage 2000 accounts myself, so I need analytics to help me know whom to serve first.
• Analytics provides a lot of visualization options that I need to serve my customers.
• Analytics has excellent options for accountability with our training team to know where each account is in their customer journey.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info