What users are saying about

Anaconda

Top Rated
33 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

IBM Watson Analytics

40 Ratings
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Score 8.1 out of 101

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Likelihood to Recommend

Anaconda

It eats everything and everything has a wrapper or API for it. Python is lingua franca by now, more than Java.
Ayush Choukse profile photo

IBM Watson Analytics

Despite its shortcomings, IBM Watson Analytics does its job well. It's paired for any size organization, big or small – but realistically, if you're going to be analyzing user-data on a broad scale, it probably makes sense to use this program if you're working with a big company. Otherwise Facebook Analytics could probably do the work for you, for a cheaper price. Our social media manager has been using it to track data for a client of ours, and they have been enjoying it so far. It's a good system to determine user traffic.
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Pros

  • Anaconda (i.e. Python with lots of packages and the fabulous iPython/Jupyter Notebook) does analytics well. In analytics, or "data science" or whatever buzzword, you have to pick your poison: Python, R, or SAS. Python is the only one that's good at doing other things as well.
  • Like the visualization...The quality of the built-in types of scientific visualization in Python vs. R and their aesthetics is up for grabs. However, Python can do a whole lot of different kinds of visualization above and beyond R. Similarly, JavaScript probably can do more/better visualization than Python, but it's not meant for analytics. Anaconda has enough visualization packages to get you started.
Ayush Choukse profile photo
  • Implementation of the data is fairly easy, all it requires is registration and uploading data from a spreadsheet – it's little more than copy/pasting which is pretty manageable on time
  • It's affordable – it offers a $30 plan for its "Plus" services, and $80/month for its Professional services. With a small markup, this is profitable for both us and our clients
  • Their customer support has been great – they have live personal available by phone or chat during regular business hours, and their Customer Support forums are always available 24/7. They're always quick to address an issue.
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Cons

  • It's still a little buggy. Especially the launcher.
  • It's not always easy to set up. It's not exactly difficult: a Google search away for most things, but silly stuff like path names, installing custom fonts and colors. That kind of thing.
Alexander Lubyansky profile photo
  • I think they could add some more things into the user manuals.
  • Make it compatible with HTML formats as well as it is with the doc format.
  • Let the users have access to the instance which is as close to the jeopardy instance as possible.
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Alternatives Considered

Simple story. I tried both. Canopy felt somehow unintuitive to use.
Alexander Lubyansky profile photo
Most commonly, if you're comparing it against other brands – my favorite being Google Analytics – this essentially does the same thing. It really just depends on what platform you're most comfortable working with. Google and IBM both have great software, and ease of use (assuming you know what you're doing when you get started). Although Google doesn't go as in-depth with their data analysis as IBM
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Collaboration and Sharing

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IBM Watson Analytics8.0
Based on 1 answer
The program gives its users the ability to organize their data by saving it into pre-designed, default layouts. This way, users can create dashboards and infographics about their data. You can drag and drop visualizations you've saved before, which helps to present the data. Basically, our clients are very 'right-brained' people, and like most creatives, it's very easy to bore them with numbers. Being able to share the information in this manner is super helpful. And of course, IBM's security keeps everything from prying eyes
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Data Integration

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IBM Watson Analytics8.0
Based on 2 answers
For the software to start making predictions, all the user must do is give Watson the data. This is done by dragging/dropping a data set spreadsheet into the program or by making a selction from a third-party source, like Salesforce, Twitter, Facebook, etc. The filter in there helps sort out the data – which makes it very easy to use, I enjoy the automation of all those numbers/statistics
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Return on Investment

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
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Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

IBM Watson Analytics

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details