Anaplan vs. Google Analytics 360 (discontinued)

I've implemented a number of projects for Anaplan for Sales Performance Management use cases. It is obviously built for financial planning, but it allows for a lot of flexibility for territory and quota, ICM, sales forecasting, and other important use cases. Territory and Quota is very powerful in the tool as it organize complex assignment structures into hierarchies for easier analysis and reporting.

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.

• Anaplan removes the time consuming process of integrating the results of individual spreadsheets.
• Anaplan facilitates the standardization of assumptions across all sub-processes
• Anaplan provides full transparency of the calculations and source inputs
• Anaplan allows us to automate certain planning processes that would have been impossible when relying on the computational capabilities of an individual computer.

• 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.

Incentivized

• Some end users don't spend the required amount of time to familiar themselves with Anaplan.
• Auditability, while good in theory, can be lacking and clunky when needed.
• Model building can become convoluted over time, leading to confusion over the specific use of line items.

• 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

Anaplan is a very strong multi-dimensional modeling tool that provides a calculation engine to empower a complex planning process. It is fairly easy to learn for those with experience in similar tools, or excel. It forces structure and auditability that spread sheets do not have, along with extensive security capabilities

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.

Incentivized

As a user it is a very simple tool, but at the same time with a very mature and powerful calculation engine. It is very easy to switch from excel or traditional tools with added capabilities of multi dimensionality and real time calculation engine to see quick insights needed to create plans and scenarios

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.

There are very few outages. Maintenance is scheduled on two or three Saturdays per month, so as not to affect businesses. When there is an outage, users are kept informed of progress to restore the platform and typically this takes no more than an hour. Anaplan customer support is very responsive if we ever have questions about platform issues

Everything is calculated in memory in the cloud. It's nearly instantaneous updates when you make changes. The only time things get a little slow is when you have a massive model with very intricate calculations...but "slow" for Anaplan is not what I would call "slow" for something like Hyperion. We used to have Hyperion calcs that ran for 60 mins before you could use data. The equivalent would be 60 seconds in Anaplan.

Incentivized

Support quality has dropped since Thoma Bravo has taken over. I think some serious re-focus needs to happen here -- part of the beauty of being in the Anaplan community was how involved you felt in it before. Before I didn't dread sending a support ticket, now I am starting to.

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.

In my opinion, in-person training is always the best if you have the option to do so. This allows real-time interactions with the instructions, whereas the online training I took required me to write-down questions, email them, and wait for responses. This slows down the process, as you can imagine. That said, in-person training is an extra cost and it likely isn't needed for everyone. I would suggest selecting a small number of people to take in-person training and then having them act as mentors to the rest of your team. That way, as the rest of the team takes the online training, they have a resource to help them in real time.

Anaplan training materials are clear, simple, easy to understand and to follow. Visuals are excellent. The vendor is good at updating training materials in a timely manner and encouraging users and administrators to keep coming back to Academy site for refresher courses or new feature courses. I really like their interactive diagrams

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.

One key insight from implementing Anaplan is that success comes from focusing on designing the process, not just building the model. Anaplan is extremely flexible—there are very few planning scenarios it cannot support—but that flexibility means the project needs strong governance, clear ownership of requirements, and a well-defined data model. When those foundations are in place, implementations are fast, iterations are easy, and users can quickly see value.
In our projects, both Financial Planning and Integrated Business Planning models were adopted smoothly because we involved business users early, kept the model design intuitive, and leveraged Anaplan’s Excel-like syntax and user-friendly dashboards. The result was more efficient day-to-day work, reduced manual tasks, and increased collaboration across teams. In short: when you combine Anaplan’s flexibility with a structured implementation approach, adoption and value realization happen quickly.

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

Anaplan is more powerful than Pigment considering that it is an Enterprise class system and is able to manage bigger data sets. Anaplan allows for advanced scenario modeling and formula capabilities along with custom reporting functionalities. Anaplan has proven its capabilities and stability across various use cases and across bigger enterprises when compared to Pigment which is still in earlier phases of its development

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.

Incentivized

We have managed to leverage Anaplan for financial planning and forecasting across the business. It is now used by almost every department, with more than 50 users (but I know of companies that have hundreds of users) and still the platform is quick and reliable. It is easy to make changes to divisions and departments or add users and apply different user settings - the core part of the model is not affected and end users can continue their work without any disruption

• Anaplan's implementation led to a significant reduction in planning cycle errors and bugs, streamlining processes and improving overall accuracy in data inputs
• Standardizing the planning process and enabling cross-functional collaboration through Anaplan enhanced our ability to adapt swiftly to changing business needs, resulting in improved agility in decision-making
• The platform's capabilities, especially in Demand Planning and Supply Chain, positively impacted our ROI by optimizing resource allocation and solving complex business problems efficiently across multiple functions

• 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.

Incentivized