Anaplan vs. IBM Planning Analytics

Anaplan is a great tool for complex modeling of the future. When you are planning your actions for the future, have multiple, disparate datasets to interact with, have dozens if not hundreds of stakeholders who must contribute and need to be guided via a streamlined workflow engine, require complex logic that can grow with your org, require real-time reporting, and you need it all in less than 6 months.

IBM Planning Analytics is good for small to medium-size jobs or less complex projects. It can generate reasonably comfident results if input datasets are well prepared and cleaned. IBM Planning Analytics is not quite good when it comes to large-scale datasets, or datasets from various sources (for example data dumped from different databases.

Incentivized

• Anaplan can scale as your business grows, for example adding new regions into to your geographical hierarchy.
• Anaplan is flexible and can do anything you want it to, there are no tables pre-configured that you need to fix your business process into.
• Reading formulas in Anaplan is straight forward with a quick learning curve.

• Handle very large data volumes.
• Scale to a large number of users.
• Not having to compromise on business complexity.
• It can be run by business users.
• Availability of highly qualified consultants to support businesses.
• REST API allows for an open eco system and a variety of solutions to extend the product.
• Vast integration possibilities.
• AI-infused engine with IBM Watson.

Incentivized

• Ability to decide if to apply the formula or a manual input on front end for each line item
• Real Time Data Transfer across models. Currently Data is transferred using Processes across different models. Having a functionality to access data from any model in real time would be great

• IBM Planning Analytics was an upgrade from an older version of TM1 that is experiencing some growing pains, some functionality is harder to reach than it has been in the past
• It is easy to learn as a surface user with created reports, but it does require some technical skills to make advanced calculations and reports if there is no reliable consultant available, much like Excel

Incentivized

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

Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.

Anaplan's usability is very good. Users can customize reports and make adjustments with very little training. They can quickly plan and collaborate very easily. Making large adjustments or creating complex functionality may require more experience or training but a lot of tasks can be completed by users with very little experience

For developers, admins and end users looking for flexibility, IBM Planning Analytics would rate very highly on usability. For example, a developer has access to a highly performant built-in ETL (Extract Translate Load) tool and scripting language called Turbo Integrator that can (among other things) bring in data via flat file or direct connection from many data sources, move data around Planning Analytics, perform batch calculations, export to files or other data stores. In the rare situation where limitations are encountered there is a well documented REST API. Admins and end users benefit from the intuitive PAW (Workspace) interface as well as the rich Excel integration through Planning Analytics for Excel (PAfE). Since flexibility inherently comes with a little more complexity, so an organization with simple and "cookie-cutter" requirements may rate Planning Analytics a little lower.

Incentivized

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.

Although I find the IBM Planning analytics documentation quite time consuming, their support with email and call is something i can term as very considerate and patient, I have had few calls about the features and how i would want to implement them within my projects, and the teams have been super helpful to resolve my issues

Incentivized

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

The platform allows a flexible implementation mechanic to be put in place, since the possibilities and functionalities are vast and there are very few things the tool cannot do well. The solutions for the financial planning and the integrated business planning we put in place were easily adopted by the end users and their day-to-day work was made easier.

Compared to OneStream and Venna Anaplan offers a more modern look and feel of the platform. It is better situated and maintained in regards of platform updates as it's a full SaaS software there are never any issues with the system version as it's always automatically up to date with no backward compatibility issues. Due to the flexible nature of the modelling engine, it is also better suited to perform larger multi-department use cases, like IBP (Integrated Business Planning)

Anaplan does not handle sparsity; this is very problematic for large volume data sets (many 0's). There also are limitations to the number of dimensions that can be used in a module. If more dimensions are required, then separate modules need to be built and intertwined. IBM PA does not have these limitations.

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

• We've typically seen an average of 40% removal of time from processes using Anaplan an enabler
• Though difficult to quantify, we consistently find our processes less error prone than in the past. Essentially, we've removed a previously "hidden cost" of risk due to poor data quality that was buried in our processes.

Incentivized

• One of the advantage is on its ability to ease budget and planning
• Secondly,the fact that it allows for forecasting means based on such insights means that organisations are able to prepare for future eventualities
• Thirdly, since it can accommodate data from multiple sources means that one is able to carry out best business practices like planning.

Incentivized