Anaconda vs. Revenyze

As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.

Incentivized

Great customer service and support with an easy to use interface and easy to understand. The integration is seamless and much easier to use compared to some competitors products. Having customizable dashboards to handle reporting makes easier work for the team and they are able to understand their objectives more easily. We found that the dashboards and reporting also make sure that our client touch points are correct and ensures that we are offering the best service experience. I do feel that a con for Revenyze would be the gap in packages/plans available. I believe there should be a slight increase in the offering on Pro, leave Scale as it is and introduce a slightly more entry level package that offers what Pro currently does. This offers a greater plan dynamic to the mid-size enterprises who are working on updating their B2B and CRM packages which as we all know can be an incredibly costly exercise.

Incentivized

• It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
• Easy installation of Anaconda even without much technical knowledge.
• Easy to navigate through files in Jupyter and also to install new libraries.
• R Studio in Anaconda is easy to use for complex machine learning algorithms.

Incentivized

• Interactive and Visual reporting using Dashboards
• Hels us to understand the touch points of our clients journey and where we need to apply action
• Using task and action plans ensures that the sales team don't miss key steps in the sales process

Incentivized

• Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years.
• If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues.
• There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries.

Incentivized

• There should be additional plan options, only having Pro or Scale could be challenging to some start up mid-size companies
• Again because the plans are quite pricing, there should possible be a trial version
• Additional data rows and sources on the Pro plan would be helpful

Incentivized

It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.

Incentivized

The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.

Incentivized

Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.

Incentivized

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics. Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitive Anaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms

Incentivized

We love using HubSpot, we only have some minor niggles that introducing Revenyze solved. Together the two work in harmony ensuring the best action and tasks as well as understanding for our revenue team. The integration if you are using HubSpot already is seamless and easy to implement. The two compliment each other and you will really see the impact that using both software solutions has on your bottom line.

Incentivized

• Positive: Lower maintenance cost compared to other tools on the market
• Positive: Ease in hiring professionals already accustomed to the tool in the job market
• Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs

Incentivized

• Our team target productivity is up by 40% on the previous quarter
• Integration between marketing and sales is seamless, both teams now speak the same language
• We have increased our lead nurturing by around 30%, ensuring that leads don't slip through task gaps

Incentivized