Anaplan vs. IBM Planning Analytics

Anaplan is best suited for strategic planning initiatives in industries like CPG, Manufacturing, FS, Pharma. It can handle multiple use cases for each function in the company like Supply chain, Finance, Sales and more. It is one of the best tools I have seen in scenario modelling. It is not suitable for very detailed level planning, essentially execution level eg. Production scheduling.

For a CFO or a COO to do budgeting and planning, IBM Planning Analytics would be essential. It is a tool that can take in multiple data sources and showcase them in a multidimensional way. If you are looking just for a BI or reporting tool, Planning Analytics would be considered "overkill".

• Ingest and integrate disconnected datasets and sources that speak different "languages"
• Flexible security and user-oriented customization of dashboards and datasets
• Smart architecture allows creative license to connect planning processes that have different time horizons and granularities
• Real-time ("live") collaboration is particularly useful for globally spread teams in different time-zones

Incentivized

• 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

• I would like there to be additional visualization improvements/features for reports
• Additional technical support resources would be great to quickly resolve bugs
• I would like for improvements around the ability to have a lot of dimensions in a table of data and the speed around processing those calcs.

• sometimes it is hard to produce pixel perfect reports from the Web UI. I know it is not made for this, but still, it'll be great
• getting in e.g. an Excel file just by drag and drop, and the AI should "understand" what the data is all around

Incentivized

Anaplan is already an established market leader in enterprise planning area. Its flexibility to build multi-dimensional models, real time scenario plannings are proven to be the best features and successfully implemented by global organizations. Anaplan's ambitious product team is ensuring to roll out new features regularly based on customer/ partner feedback. e.g their new improved polaris environment has strong potential to build very large models without worrying about sparsity. The integration with other tools/technologies is being easier (e.g. cloudworks). Hence, considering Anaplan as a platform that has proved to be successful tool in enterprise level planning, its focus on regular feature enhancements and future release roadmaps I believe this platform has potential to evolve further along with our business processes and requirements

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 is interesting because it is at the same time easy to use and difficult to use. An end user can navigate a well-constructed app, being pointed in the right direction every time they feel a slight bit of confusion, and find everything they need in what feels like a straight line. Similarly, a model builder (developer of sorts) can have the exact same experience, but the journey is longer and more complicated. End users have great experiences with Anaplan, but sometimes model builders have a frustrating one. That is not to say model building is hard (because it truly is not), but things change, and when things change in complex systems, the effort required simply to investigate where a model builder needs to make an adjustment may frustrate them but also frustrate their non-technical bosses. However, the reality is that with complicated businesses, complicated business problems, come complicated solutions. It is actually a testament to Anaplan's capabilities that it has taken on the biggest problems at the biggest companies. It may be daunting to adjust it in those environments, but at least you know it did meet the needs there, which is more than most tools can say.

IBM Planning Analytics is generally good in terms of functionalities. It can be used reduce time for budget planning, resource planning, demand forecasting, etc. The performance of IBM Planning Analytics is acceptable, but user interface can be improved. It would be good to see new features that allow users to customise the dashboard.

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

Generally, pages load quickly and reports complete within a reasonable timeframe. However, when working with large or complex datasets or during times of multiple active users, performance can sometimes be impacted. That said, much of the performance depends on how the model is built and whether best practices have been followed. Optimized models tend to perform much better, so the experience can be somewhat subjective based on the setup.

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.

Learning made easy . One of the best trainings i have attended. Training was very detailed training by the trainer, which helped me understand the basics of the model building. Level 1 training was easy and instructor was most helpful here. Level 2 training was challenging but was able to go thru due to understanding of the basics.

Agile methodology and breaking the work down into sprints was very helpful. Implementation required a deeper dive into our data than expected for the consultants to be able to construct the data model. But once it was in place, the focus on knowledge transfer enabled us to be able to use the product effectively after the team rolled off.

Incentivized

Anaplan is one of the only tools flexible to handle bespoke commission calculations. In addition to Sales Performance Management, Anaplan can be used to support other business functions, such as workforce planning or financial planning & analysis. Anaplan provides the scalability needed for an enterprise-level solution. While taking longer to implement, it also can provide a greater ROI.

For strong technical teams and flexibility IBM Planning Analytics is the way to go. For quicker adoption and less technical teams Anaplan is the best option. If consolidation, financials, and moving from legacy tools are main focus than OneStream will be a really good choice. If deeply invested into SAP already than the SAP BPC will be the best fit to maintain the investment.

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

• Reduction in time spent by sales ops team in processing compensation by almost 20 %
• Ability to drill down into each compensation calculation to understand the details of how the comp is calculated. This has provided more transparency / traceability to end users
• we are able to release updates to the system faster as it is easier to maintain and sync

• Much higher degree of accuracy in forecasting with the use of predictive analysis from historical data
• Dozens of man hours saved in routine processes that are now handled with minimal human interaction
• One system that holds the "source of truth," consolidating multiple systems together that were only accessible individually before

Incentivized