Altair SLC vs. Google Charts

WPS Analytics allowed our company's business users to keep using their existing programs while getting similar results with much less learning time. It's a great accomplishment when software for business users is changed—excellent relationships with providers and other salespeople. As a SAS user, I needed an interpreter for the SAS language, and WPS has more packages and a lower price than any other company I could find, so I decided to go with
it.

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We can easily recommend Google Charts to any company that needs a way to visually represent their data. Another great thing about Google Charts is that it is free to use and does not require any membership fees. Although it requires a skilled used to be able to use the charts, the results are great and can be beneficial to any company who is looking to make better decisions.

• WPS Analytics is powered with high performance data processing engine.
• Reusable data models save finances and time.
• Self-service data analyzation portals.

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• they're free with Google suite and they have backing in terms of powerful Google apps which can be plugged in to perform multiple actions like using Google sheets to import raw data into Google Charts
• they're the most simple app to use when it comes to creating charts and visual dashboards
• ease of customization
• ease of using custom APIs from developers side to help make any types of charts and dashboards you want

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• Currently, I barely encounter challenges when using WPS Analytics although I don't use it on a daily basis. There's no functionality or feature that needs more improvement.

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• I would like a couple more introductory videos or a live chat option for when you run into an issue. I think this is a Google-wide problem, not only linked to Google Charts.
• I have run into some issues with the Dynamic Data but also admittedly could potentially dive in deeper and investigate.
• It would be great if Google Charts made it possible to integrate Google Chat into the platform.

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Google Charts is a good product. It's widely supported with deep documentation and a large community. But for me, it wasn't customizable enough. When we started with simple charts, it was great, but as we got deeper and more complex, our needs outgrew the library. If I was going forward, I would choose a more barebones library with more freedom and extensibility.

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Google Charts is about as easy to use as the rest of their applications. The UI is very well thought out, allowing you to add what you need, and customize it to your exact liking. The default theme is actually really nice, which helps as most of the time, customizing is not needed.

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Google charts is always available and provides fast output.

Connectivity is occasionally very slow.

As a free tool with massively powerful, infinitely customisable charts that can be dynamically updated - Google Charts is my favourite data visualisation tool. However, my hatred of JavaScript does jade my view on it. This is the price of the tool though, and I'm glad it's available for me.

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The online training was solely done through self training on google's guide to charts.

Easy to implement

I use a lot of data discovery and visualization tools at workstations to help me gain deep insights into data. WPS Analytics doesn't vary much from all the DVD tools that I have listed, I always go for the best.

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Google Charts stacks up better since it is free and does not have the constant pressure for cost overruns, add-ons, annual maintenance and implementation services. The speed of using Google Charts is quick, saving users potentially weeks in getting up and going. For the readers of websites with limited resources, the application shows up nicely is look and feel with charts. Great way of showing data visually.

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Google Charts is essential for quick, easy, reporting. There are opportunities for advanced features.

• Using machine learning and natural language to analyze data saves time and effort.
• Standard reporting and business intelligence help us reduce workload and make data-driven decisions.
• Drag-and-drop workflow saves time when different languages like SQL and SAS make it easier to code and prepare data.

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• teams were easily able to create charts and find out progress on our learning courses and thus take actionable insights to their managers, professors
• students could also know their progress on various courses from one single view, same for instructors in terms of imparting education
• sales team could learn which kind of courses sold more to focus more on those areas

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