Anaplan vs. IBM Planning Analytics

With its versions and native time features Anaplan is well suited for all activities around planning in time and scenarios. Tasks involving calculating across multiple dimensions make Anaplan shine - the easiness to build complex calculation and present results on customizable pages. With its access restrictions it's well suited also for working with sensitive data (employee and customers personal data).

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".

• 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.

• 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

• 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.

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

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

Unless a model is poorly constructed, the platform can accommodate tens or even hundreds of users without any impact on model performance. Dashboard pages load quickly, reports can be exported to Excel or pdf quickly, and integrations with other systems can be scheduled for quiet times of the day. Adding new use cases to the platform should also have minimal impact on performance if done in a careful way and following best practice principles

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 not a point solution. Instead of having multiple systems that each do one business process (and can only do that business process in one way), Anaplan can do many different business processes for multiple business units. Sales, Finance, HR and other parts of the business can go to one place to get their work done.

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

• You will see greater accuracy within your forecasts by leveraging Anaplan to look at historical values while including projections such as seasonality.
• You will save time, resulting in team members spending more time on value-add opportunities.
• You will have happy end users that have access to self-service reports, removing any bottlenecks through the workflow.

• 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