FactSet Workstation vs. Google Universal Analytics (discontinued)

FactSet works for all my IR needs. I do not see a function for which I use it for that it would be less appropriate. I believe that the tool's efforts towards becoming more integrated with AI are strong and that in time the Mercury offering will be just as competitive as some of the other AI offerings out there today such as AlphaSense

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As I have discussed previously their insights were very useful. The second thing is since it is a Google product you will connect the data very easily from other platforms like Bigquery, Google Drive, etc. and even you can connect Google marketing platform. through this tool, you can track your live campaign how they were performing, and how it will be engaging your customer as well.

• Easy/clear UI for navigation
• Easily find and sort through financial filings to get to the data
• Document search functionality seems to be improving consistently with more robust features

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• It is an excellent cloud analytics platform that is easy to install and configure and easy to deploy and use, allowing us to measure web traffic and other tools.
• It is an entirely online tool; it does not take up hard disk space like other desktop tools.
• Since this tool is draggable, Google is constantly adding more features.
• Even beginners who do not have a custom dashboard can get information. If there is a problem somewhere on the site that needs to be investigated, Google Analytics 360 will notify you.

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• The user interface on stock monitor needs work - sometimes I wish to clone the same fields to another tab/watchlist and it appears the best way to do so is recreate it form scratch
• transcript to be more timely and more accurate
• on the consensus financial forecast tab, have more segment breakouts like Visible Alpha

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• Generally I think there is a lot you can do within the tool, but as it is a Google product it means there is limited support - something which I think lets all of the platform stacks down
• There could be more visual signifiers to identify if a feature is a normal or 360 feature. This would mean you can really get to grips with what the extra more advanced elements are

We need the FactSet data and capabilities to complete 75% of the financial analyses that we complete for both internal and external purposes. It is invaluable and I am not aware of any other provider that would be able to fill this gap that FactSet does

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Google Analytics 360 is an upgraded version of the most widely used web/app analytics tracking tools in the market. The price is stable and predictable making it a long-term product of choice. It's easy to use and pairs so well with other Google Marketing Platform products.

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It does everything I need. It is pretty user friendly and easy to work with whatever technology interface I am using (desk top, notebook, tablet, or mobile phone). I am able to get work done whether I am in the office, at home, or traveling. The user up time is very good. They are rarely doing maintenance when I need to use the platform

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The UI is very easy to navigate and use. The features are well designed and intuitive. As long as the user has a good understanding of basic digital analytics definitions and capabilities, this tool should be quite easy to use. I consider Google Analytics Premium to be the easiest of all of the enterprise solutions out there to use.

I think the data delivery could be improved, but it's a good data set.

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If you purchase Premium through a reseller like LunaMetrics, you are going to be taken care of. The additional amount of support and services that a reseller provides to make sure you have the best experience with the product is the reason why the reseller program exists to begin with. Support doesn't have to be just reactive, it can be proactive as well.

There is a ton of information online about Google Analytics, but Google Analytics Premium users will have dedicated support and training from Google or an Authorized Reseller.

If you already have the basic version of GA installed, "getting" GA Premium happens immediately through a virtual flipping of the switch - no need to re-implement. You'll want to expand your use of custom dimensions and metrics (you get 10x the amount with Premium). Ideally, you'll be using a tag management solution to talk with GA Premium, in concert with implementing a dataLayer (to note, Google's Tag Manager platform is covered under the same GA Premium SLA, and it's free). There are some welcomed "configurations" with GA Premium, such as integrating with DoubleClick products, activating data driven attribution models, and building roll-up executive reports - but all of these are easy point and click solutions. In comparison with any other enterprise analytics solution, implementing GA and GA Premium is traditionally easier and more flexible. And if you have any trouble or need an extra set of hands for implementation, GA Certified Partners like LunaMetrics can help

Product is magnitudes more affordable and provides 80% of the functionality that Bloomberg has and is working to build out the remaining. The workstation is more user friendly than bloomberg but still not perfect. Not as robust as a Bloomberg Terminal and doesn't have the chat/trading features.

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Unless you have very complex and edge case analytics needs, Google Analytics [360 (formerly Google Analytics Premium)] is likely going to be the best choice. From both a cost and usability stand point, Google wins. Adobe has the edge case when you need to create really custom reports, dimensions, metrics, etc. In my experience, this is rarely the case and you end up biting off more than you can chew. Stick with Google unless you are or plan on hiring an Adobe Analytics expert.

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• hard to quantify, bc i havent brought any new business bc of it, so the ROI would be 0%. I use other systems for proposals.
• However, I use it for everyday work and equity/fi analysis and portfolio construction research at ticker level, and that part works 100%.

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• It helps me understand which social media platforms are most successful for me - which I should focus on and which I might want to focus less on.
• I can also see which blog posts people are reading - so I know which topics resonate most. I can write more of those, hopefully gaining more visitors.

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