Wolfram Mathematica vs. Zoho Analytics

We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.

Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.

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 allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
• Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
• The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.

Incentivized

• 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.

Incentivized

• Should include more libraries and functions.
• Should include more functions that can be used in Machine Learning.
• Should include more functions that can be used in Data Science.

Incentivized

• 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.

Incentivized

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

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.

Incentivized

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

Incentivized

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.

Incentivized

We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models. Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.

Incentivized

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.

Incentivized

• Easy to solve huge mathematical equations, so it saved time there
• Doing analysis and plotting graphs is also another plus point
• Learning is very slow, and it took lot of time to learn its scripting language

Incentivized

• 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.

Incentivized