IBM Planning Analytics as a Service

What do you like best about the product?

The TM1 engine handles the heavy lifting with ease: even with massive datasets and complex calculations, IBM Planning Analytics stays responsive and doesn’t freeze up. It also solves version-control headaches by moving everyone out of disconnected, error-prone spreadsheets and into a single, dependable system. Adoption has been smooth for our team, since business users can keep working in Excel through PAfE, while managers can jump into Workspace (PAW) for clear, visual web-based reports. On top of that, it cuts turnaround time by shrinking long budgeting and month-end close cycles from weeks down to just a few days.

What do you dislike about the product?

The backend has a steep learning curve. Building models, writing TurboIntegrator (TI) scripts, and tuning rule feeders all require specialized skills, and even small mistakes in feeders can quickly bog down server memory. Migration between environments can also feel clunky. Moving dashboards, views, and books across Dev, Test, and Prod in Workspace (PAW) still takes too much manual tweaking, rather than offering clean, one-click deployments. The Excel add-in (PAfE) occasionally hangs. When I’m working with huge, dynamic sheets or running heavy MDX queries, Excel can freeze or I end up having to clear the cache to get a proper refresh. Integrations often need extra work as well. Connecting to traditional SQL is straightforward, but native syncing with modern cloud data warehouses frequently requires custom scripting or middleware. Finally, the total cost is high. Between licensing and the need for specialized developers to maintain it, it’s difficult to justify for smaller teams.

What problems is the product solving and how is that benefiting you?

Shrunk month-end close: Mawgif cut its monthly reporting cycle from 20 days to 4 days, and converted trial balances to P&L in 10 seconds instead of two days. Fast-tracked annual budgeting: Al Rabie reduced its annual budget process from 60 days to 15 days by automating data flow directly into the P&L. Handled massive data volume: Mawgif tracked 200,000+ daily parking transactions with hourly drill-downs, improving operations by 10% and catching revenue leaks. Delivered SKU-level profitability: Al Rabie gained clear visibility into unit margins and production costs across products and channels, helping guide pricing decisions. Enabled rolling forecasts: Replaced rigid yearly budgets with dynamic 12-to-24-month rolling plans, helping leadership make more forward-looking decisions.

What do you like best about the product?

Outstanding performances, flexibility on calculation

What do you dislike about the product?

the possibility to upload external documents on PAW

What problems is the product solving and how is that benefiting you?

faster budgeting and closing process, possibility to perform what-if scenarios

What do you like best about the product?

Undoubtedly, the key benefit is the clarity it brings to implementing a workflow step by step, using turbointegrator processes to integrate information from a datawarehouse, applying business rules to prevent users mistakes and finally, the interface prevents wasted time because of the drag and drop functionality

What do you dislike about the product?

it is not very intuitive, sometimes is slow at the moment to open views too large or execute some processes that deal with rules into cubes. Also, there's a lack of documentation for some topics.

What problems is the product solving and how is that benefiting you?

Many companies wish to upload their sales budgets using a template and subsequently review the data in a more detailed cube. The model utilizes drag-and-drop functionality for file uploads, streamlining data entry via the interface; it prevents cell errors by validating information before insertion and allows users to view what is being uploaded, providing full control over the process, time saved and cost reduction.

What do you like best about the product?

It gives thorough and useful information. within my paygrade it could always be more

What do you dislike about the product?

Sometimes it provides more information than is actually needed.

What problems is the product solving and how is that benefiting you?

They gave me an in-depth analysis of a business case as a trial, and we used part of the information they provided.

What do you like best about the product?

I like how IBM Planning Analytics centralizes data, making budgeting, forecasting, and what-if analysis faster and more accurate. I also find its Excel integration really helpful, as it makes working with the system easier. Once IT set it up, the system was relatively easy to use and maintain.

What do you dislike about the product?

I find the learning curve steep as advanced features can require technical expertise. I also think the interface could be more intuitive and modern.

What problems is the product solving and how is that benefiting you?

IBM Planning Analytics centralizes our budgets, forecasting, and planning, replacing fragmented spreadsheets, manual calculations, and inconsistent data. It automates planning processes, enhances accuracy and speed for budgeting, and offers seamless Excel integration.

What do you like best about the product?

What I like best about IBM Planning Analytics is its fast, powerful TM1 engine paired with native Excel integration. It lets finance teams run real-time consolidations and unlimited what-if scenario planning on complex multidimensional models, cutting manual spreadsheet work dramatically. It provides a single trusted source of truth for budgeting, forecasting and planning, supports collaboration, and scales well for large enterprise datasets.

What do you dislike about the product?

What I dislike most about IBM Planning Analytics is its steep technical learning curve. Creating and updating TM1 models and rules demands specialist knowledge, meaning less technical business users often need support from developers to make ad-hoc changes. This can create minor delays and raise ongoing model maintenance overhead.

What problems is the product solving and how is that benefiting you?

IBM Planning Analytics solves common FP&A pain points such as disjointed spreadsheets, slow manual consolidations, inconsistent data versions, and time-consuming scenario testing. By centralising planning data in a multidimensional TM1 model, it delivers real-time calculations and a single source of truth. This benefits me by reducing manual data entry and reconciliation work, enabling fast what-if analysis, streamlining budgeting and forecasting cycles, and supporting quicker, more reliable business decisions.

What do you like best about the product?

The predictive nature of the tool for forecasting

What do you dislike about the product?

It is a bit expensive when you have to onboard the big datasets

What problems is the product solving and how is that benefiting you?

In my business, it enables us to make data-driven decisions quickly and saves money in the downstream products generation

What do you like best about the product?

It allows working with large volumes of data quickly, creating scenarios and simulations in real time, and reducing the reliance on scattered Excel sheets. Its integration with Excel facilitates adoption by users accustomed to this tool, maintaining a centralized and controlled data model. Additionally, it allows different departments to collaborate on a single source of information, improves traceability of changes, and reduces manual errors. It is especially powerful for performing multidimensional analyses and easily comparing actual data, budgets, and forecasts.

What do you dislike about the product?

Its main disadvantage is complexity: it requires technical knowledge, has a steep learning curve, and its implementation and maintenance can be costly compared to simpler solutions.

What problems is the product solving and how is that benefiting you?

Resolve manual and fragmented planning processes by centralizing data and automating forecasts. This saves time, reduces errors, and improves decision-making.

What do you like best about the product?

It helps me create multiple scenarios to evaluate the impact of changes, supported by a detailed execution plan.

What do you dislike about the product?

We usually run into performance issues, and it often requires some development effort to address them.

What problems is the product solving and how is that benefiting you?

I’m currently using it on a profitability analysis platform across different use cases.

My main use case for IBM Planning Analytics is powerful planning and forecasting with fast updates and smooth Excel integration, which makes it ideal for handling large data sets efficiently. The biggest advantage is how powerful it is for planning and forecasting. Once everything is set up, it handles large data sets very well and the updates are fast. I also appreciate the Excel integration because it makes it easier to work with if you are already accustomed to spreadsheets. The TM1 engine runs in-memory, so calculations and updates happen quickly.

The best features IBM Planning Analytics offers include powerful planning and forecasting features, which stand out to me due to their ease of setup. The settings are very easy to configure. The updates are fast. I also appreciate the integration with Excel.

Additional features worth mentioning about IBM Planning Analytics include efficient handling and consolidation of large financial data sets, real-time calculations, near real-time data updates, advanced forecasting, and multi-scenario planning capabilities.

IBM Planning Analytics has positively impacted my organization by saving time from manual data processing and serving as a great and helpful tool. The real-time forecasting helps us quickly understand business changes and respond to them. We have reduced manual errors due to its centralized data management and version controls. Due to its automated data processing, it has reduced our budget through cost reduction and time saving.

The Excel integration in IBM Planning Analytics helps move away from scattered spreadsheets and manual planning, making my day-to-day work easier. Having everything in one place makes it easier to manage data and create forecasts. It also saves time once workflows are set up properly. With IBM Planning Analytics, data is centralized and calculations happen in real time, making it easier to manage budgets, forecast, and scenarios in one place.

Improvement is needed in IBM Planning Analytics because it requires a lot of time to learn and master. The learning curve with IBM Planning Analytics is challenging primarily because advanced features are somewhat more complex to understand. That is why it requires a lot of time to learn and master it.

IBM Planning Analytics is stable, and I find it to be very reliable.

The scalability of IBM Planning Analytics is highly efficient because it can handle my organization's growth efficiently.

The customer support for IBM Planning Analytics is responsive and proactive, and I have had positive experiences with their support team, who have been very helpful, especially in certain areas and training sessions.

I previously used BeyondTrust Remote Support before switching to IBM Planning Analytics.

Deploying IBM Planning Analytics in my environment was very easy as we did not encounter any issues.

My experience with the configuration process of IBM Planning Analytics was very smooth and efficient.

We see a return on investment with IBM Planning Analytics as we are able to forecast the budget for the entire year with significant time saving. All complex data can be easily processed. With Excel add-in functionality, it is easier to have all data in one place, which can be used to create pivot tables or data visualization. The data protection protocols are well established, thus improving security.

My experience with pricing, setup cost, and licensing for IBM Planning Analytics was cost-efficient.

Before choosing IBM Planning Analytics, I evaluated other options and considered why I switched from BeyondTrust Remote Support.

My advice for others looking into IBM Planning Analytics is that it is well-suited for an IT organization during budget planning exercises, as the tool can easily forecast data, which helps in budget planning. The planning efficiency is very quick, and real-time data processing is done within one click. It is a highly recommendable tool and a game-changer.

My additional thoughts about IBM Planning Analytics include that the Excel add-in helps us directly interact with the data in Excel without the need to switch to different tools. I rate this product a 10 out of 10.

On-premises

Amazon Web Services (AWS)