Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
Microsoft Power BI
Score 8.4 out of 10
N/A
Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
Adobe Analytics and Google Analytics 360 are both paid/premium options for website tracking. Though there are certain use cases when these might make sense (you operate entirely in the Adobe suite, you're a massive company/site that doesn’t mind the price tag on Google …
Google Analytics is plausible for tracking the number of users visiting the areas of the site. It is also well suited for mobile applications and figuring out how many impressions there are.
It is perfect for our marketing department where we want to track the website traffic …
They all offer a free trial with free versions available, but for enterprise installation and support and overall cost per user, we decided to try out Microsoft BI. Microsoft BI offers predictive analytics as well as data prep tools which Google Analytics does not offer. Power …
Director, eCommerce Analytics and Digital Marketing
Chose Microsoft Power BI
Power BI from a price perspective is the lowest cost (probably even from a total cost of ownership perspective) of all the offerings I have ever evaluated. The piece that really stands out for Power BI is the data transformation layer called Power Query. This section allows you …
We selected Microsoft Power BI because it was the easiest to integrate with our primary systems, allowed us to embed reports for our partners, allowed us to host our data and some reports on premise. It also provided the shortest route to production deployment allowing us to …
SPSS is a tool more focused in establishing relationships among different variables, in a given database. By being so, it has some specific commands that allow you to easily do regression analysis, ANOVAs, segment a sample, and so on. However, Power BI is much more developed in …
Power BI, Tableau, and QlikView are the market leaders when analyzed on Gartner`s magic quadrant for business intelligence tool. One of the critical drawbacks of all these visionary tools is the absence or expensive back end that are needed to support the infrastructure. …
Much easier learning curve and integration with Microsoft Office gives it a leg up. People not knowing they have it, believe it or not, is limiting it's usage. Microsoft really needs to market it!
I thought the learning curve of Power BI was much easier than some of the other tools that I had tried. There were pieces that were not as robust, but nothing that was a show stopper for my needs.
Microsoft's Power BI is what Excel graphing and pivoting should have been like. Power BI has much better ways to look at your data visually than you can with Excel's own tools. You can select from many built-in graph types or you can use the growing number of add-ons to get …
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
In operations we use the tool for many different topics, from factory quality systems to high level reviews. We have created kind of an internal "App Store" based on Power BI where you have a lot of different dashboards for different solutions (cost, cash, health and safety, sales, factories, distribution centers...) and you as an user just need to get in that "App Store" and enter in whatever tool can be useful for you. It is open to all the operations employees and can use on demand. Also it has raised the imagination of our colleagues, as they are not only working by themselves creating new reports, but also raising fantastic ideas that can be extended for the usage of all the community.
The desktop app is great but needs a lot of performance improvements
No MacOS Version for the Desktop app, this is a big limitation for business since executives prefer Macs
Premium Cloud Version of Power BI is awfully expensive
On-Premise Version of the Power BI Reports Server is bundled only with SQL Server Enterprise License and cannot be purchased separately and requires Software Assurance Subscription
On-Premise Power BI Report Server doesn't support ADFS, AzureAD or any Claims-Based authentication platform, a sad disadvantage for enterprises
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
At this point, I think we all know who has taken the lead in the business intelligence and analytics market worldwide. With fresh new updates every other day on top of an already robustly built product with all features that one can dream of is a no brainer, I feel. Microsoft will invariably be synonymous with quality and professionalism.
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
I can't really speak to the support overall, [but] I will say that in the almost three years I have used the system, I have only needed to contact their support team once. I think the team was helpful, but it did take some time for us to resolve the issues/ request that they had. I guess the good news is that the system is pretty stable, and I personally have rarely needed to contact their technical support team.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
[Microsoft] Power BI is practical and effective, like a hammer for a nail, it is easy to use and produces very quickly the results that in most cases are urgently required by clients (nice reports to share on the web). To start using [Microsoft] Power BI you need a business email address, with that you create an account in Power BI Service and in less than 1 hour you will have installed Power BI Desktop, a report will have been created and it will have been published on the web .
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions