Google Tag Manager vs. Microsoft BI (MSBI)

I use Google Tag Manager (GTM) daily and create tags/triggers for all of our client's websites. It is easy to set up but for some of my tasks, the process does get repetitive so it'd be nice to have a default setting I can use when I have to create accounts, and then tweak/add things to them as needed. It is a great way to collect data and have code on the site without having to log into the site builder all the time. It makes it convenient to make edits or add code after our client's sites go live with us.

Incentivized

Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.

• Selecting elements on a site [object, class, cookie, etc] (to later fire an event, send some data, etc) is very easy with triggers. Want to add an event when someone clicks on a button? Super easy. It was many many DOM selectors and you can even add custom functions if you need to do something more specific
• In general, firing events in different circumstances is very easy mixing triggers and tags. You can track almost any element of the DOM and do whatever you want with it.
• Testing is a great functionality. Only you can see what's on the site and you can debug it easily by seeing which events or tags were triggered and all the DOM elements involved (and why they matched the trigger).
• Working in environments (staging, production) and versioning is easy to do, deploying changes in 2 clicks.

Incentivized

• Comparatively easy to use compared to other data analytics solutions, collaborating with other colleagues on data work is simple.
• Using Visual Studio for database, ETL, reporting, and analytics development save time and money.
• Transfer of data from one application to another via Excel and comparison of data attributes between applications
• Dashboard functionality, as well as Python support, are available, allowing you to add additional charts and graphs.

Incentivized

• There are several good integrations, but there can always be more. Native tracking for call tracking solutions, analytics providers, non-Google advertisers would be top of my list.
• Documentation is just dreadful. Luckily there are some awesome folks out there doing crowdsourced tutorials (shout out to Simo Ahava) but by and large the Google Tag Manager instructions are worth what you pay for them.

Incentivized

• The race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
• Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
• Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.

Incentivized

Google Tag Manager makes tracking traffic to our websites effortless, which enables our developers to focus on other tasks. Setting up a new instance takes only minutes and additional scripts can be added/modified without touching the source code of a site in production. This enables our marketing directors to coordinate tests and experiments with minimal effort.

Incentivized

Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.

No difficult obstacle to overcome but Google Tag Manager can still be difficult for many users to deploy. Sure the basic HTML script can be deployed quite easily, but when you start to require triggers, variables, etc, it can be a little daunting.

Incentivized

The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.

Incentivized

The product has been reliable.

SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.

GTM does not provide support. This is one of GTM's biggest issues but it's due to the level of customization for each website. If your team thinks they would heavily rely on the need for a support staff it is probably better to invest in a paid service with a team that can support your needs.

Incentivized

While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.

This training was more directed toward what the product was capable of rather than actual programming.

I thought there was a little bit too much emphasis on AdWords stuff, not enough on the generic application of GTM.

I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.

Planning and communication will help greatly with an in-house implementation. If there are large teams, try to limit the number of people involved to 1-2 developers (back-end dev may be necessary depending on your platform), one analytics marketer and one project manager.

Incentivized

We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.

We moved to GTM from a standard Google Analytics implementation. GTM is much more flexible and easier to make changes, especially as the changes relate to multiple sites and environments. While there is a learning curve when figuring out how to use GTM, I believe the change has been worth it because it helps us understand at a more fundamental level how our tracking works and gives us a lot more control over what we track and how.

Incentivized

We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.

Incentivized

• GTM is very useful to determine if a particular element on the site is useful (i.e. is it being watched, is it being clicked, does it help customers navigate through more pages). As an SEO person, I can use this information to decide what to optimize for but also to track progress and see improvements in engagement.
• With the use of Google Tag Manager, I was able to easily inject an A/B testing tool which lead to several improvements in lead generation.

Incentivized

• As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
• However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.

Incentivized