Anaplan is a scenario planning and analysis platform designed to optimize decision-making in complex business environments so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, the Anaplan platform surfaces key insights.
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IBM Planning Analytics
Score 8.7 out of 10
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IBM Planning Analytics, powered by IBM TM1®, is an integrated planning solution designed to promote collaboration across the organization and help keep pace with the speed of modern business. With its calculation engine, this enterprise performance management solution is designed to help users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results. Use it to unify data sources into one single repository, enabling users to build…
As a senior technical consultant implementing both IBM Planning Analytics (IBM PA) and Anaplan some years back, my preferred solution was Anaplan as IBM PA required a consultant's time for software upgrades, configuration and other software setup time which didn't add value to …
Anaplan modeling tool is more user-oriented. It is more likely users are able to understand the Anaplan formula which in turn increases ownership of the model built. Anaplan is a pure cloud-based platform that supports future scalability and allows users to focus on modeling …
Verified User
Director
Chose Anaplan
We like Anaplan for its flexibility, out-of-the-box starting apps, speed to deploy, and ability to maintain long-term.
Verified User
Manager
Chose Anaplan
I feel that Anaplan really has no competition when it comes to implementing connected planning. The biggest reason being that with other solutions, you need consultants to develop. If you know how to develop in Excel and understand the concept of dimensions, then you can …
Director, Sales Operations Business Systems and COE
Chose Anaplan
DocuSign is one of the early Anaplan adopters, the tool was purchased way before I joined the company. So, I have little to say about the selection process. Based on my personal knowledge, Anaplan has: - better performance on large data volumes without the need to write …
Anaplan is much more user-friendly to architect than Hyperion or TM1/Planning Analytics. By outsourcing cloud storage to Anaplan, much of the headache of maintaining internal servers is removed. The calculation speed and traceability of Anaplan's calculation modules are also …
We chose IBM PAW over Anaplan as well as SAP Business Planning and Consolidation (BPC) because of the technical support that we got from IBM. They were extremely helpful and patient with us and helped us to realize better ROI from their platform. Apart from that, we were aware …
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 …
Prior to making the decision to go with IBM Planning Analytics, we had considered such options as Anaplan, Oracle Hyperion, and SAP Analytics Cloud. Despite the collaborative solutions offered by Anaplan and the good connection with other systems by SAP, the superb set of tool …
Other options, namely Anaplan, Oracle ePm Cloud, and SAP Analytics Cloud, were also considered. Anaplan's interface lacked analytical depth. For product design metrics, flexibility was not as good in Oracle ePm Cloud. The final choice was moved by the fact that it was driven …
It includes Oracle Cloud EPM Planning, Anaplan, and Adaptive Insight before deciding to choose IBM Planning Analytics. We selected Planning Analytics because of its work with complicated and many area models, the capability to work with big amounts of data, and compatibility …
IBM Planning Analytics with Watson will be up and running more quickly and be easier to maintain if modeling flexibility, scale, and the ability to plan at greater levels of detail are important requirements.
IBM allows to build flexible models from the scratch. IBM Planning Analytics with Watson does not include non-planning features in one package, so you don't pay for something you may not need.
Other tools include Essbase, Outlooksoft, and BPC. When comparing the length of the implementation and the speed of the engine, IBM is the fastest on the market. I have not yet found a calculation or planning approach that cannot be done with IBM PA. In one situation, an …
IBM Planning Analytics with Watson does quite well in comparison to industry giants although it does have room for improvement. Many of our clients are also well accustomed to Oracle for instance. So it's user-friendliness that helps some tools get ahead of others. The more you …
IBM Planning Analytics has the scenario management and analysis feature, with broad parameters that increase the chances of business growth and constant prosperity. Also, IBM Planning Analytics includes the budgeting features in its development, and this makes us project the …
The IBM Planning Analytics has great technical and business data features, full customer information, and sales Forecast for design best strategy. Analyzes, processes, and provides valuable information and charts about sales, profits, human resources, value growth, and …
IBM Planning Analytics provides significant flexibility and a platform to build future needs on. It has many years of use and is a known quantity, as well as IBM backing for support. It continues to grow. It has Excel integration and Planning Analytics Workspace provides the …
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.
Very powerful modeling capabilities. It has a really good OLAP engine memory. Strong scenario planning for what if analysis. Flexibility of integration with ERPs or WM systems for both cloud and on premises. Centralized planning and alignment of governance is also a plus. Having one single system for many different functions.
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
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 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.
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.
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.
IBM support has been very quick to respond and handle the very few issues we've had. We've had a third-party who partners with IBM to be our consulting team which has helped greatly reduce the need for us to contact IBM directly. I highly recommend researching and selecting a well-respected partner to help with an implementation as well as ongoing support as needed.
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.
Anaplan and these other tools are very similar. I cannot say that I selected Anaplan over them as I have worked with and been involved with setting up a number of tools for clients. They all have their advantages and Anaplan is a very strong tool in the cloud planning space
As it is related to MS Excel, IBM Planning Analytics is a much more robust and complete solution for the CFO or COO in mind. Oracle Hyperion stacks up nicely against IBM Planning Analytics. However, IBM's investment in AI allows Planning Analytics users more options and speed.
The platform is highly flexible and can be deployed across multiple departments and locations, supporting growth and varying business needs effectively. Its cloud-based architecture allows for scaling model size and user access as required. However, there can be some challenges with performance and model complexity as the scale increases significantly, which slightly limits its scalability in very large or highly complex environments.
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