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IBM Planning Analytics as a Service
Gain business agility while breaking down departmental silos with better, more predictive planning forecasts with IBM Planning Analytics as a Service.
Reviews (275)
Financial Services
IBM Planning Analytics: Best-in-Class TM1 for Enterprise Planning
Reviewed on Oct 18, 2026
Review provided by G2
What do you like best about the product?
IBM Planning Analytics is a very strong and capable enterprise planning and analysis tool, especially well-suited for large organizations with complex, multidimensional data and heavy calculation needs. It's TM1 database is the best in category
What do you dislike about the product?
High cost and set up efforts. UI tools are not enough to build attractive dashboards.
What problems is the product solving and how is that benefiting you?
This has been a good replacement for our fragmented, local spreadsheet-based planning. I was able to build dashboards to support forecasting and budgeting, which made the overall process clearer and easier to manage
Consulting
Game-changer for enterprise budgeting and forecasting
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
The speed of the TM1 engine. When a planner can change a driver and see the impact across the model right away, they stop treating the budget as a once-a-year exercise and start using it to answer questions. Planning Analytics for Excel is the other big one. Finance teams don't have to give up Excel, and you still get one governed model underneath it.
What do you dislike about the product?
The learning curve on rules and TurboIntegrator is real. A well-built model is great for years, but a poorly built one is painful, so who builds it matters a lot. Planning Analytics Workspace has gotten much better, though some admin tasks still take more clicks than they should.
What problems is the product solving and how is that benefiting you?
We implement it for clients who've outgrown spreadsheet-based budgeting and forecasting. The usual problem is version control: a dozen workbooks emailed around, nobody sure which numbers are current. Moving that into Planning Analytics gives them one source of truth and frees up the time they used to spend consolidating. We have multiple clients that use IBM Planning Analytics, but one that comes to mind is using it for budgeting and forecasting across 7 divisions. We working directly with the CFOs of each division and with their central financial technology team to ensure that each model is independent but still ties out to an overall, company-wide model. The ability of IBM PA to allow us to do this is one of its biggest benefits. It allows full customization and limitless scale.
Sapphire L.
Powerful Scenario Modeling with Helpful Dashboards and an Excel Add-In
Reviewed on Oct 12, 2026
Review provided by G2
What do you like best about the product?
The scenario side is what I end up reaching for most. It lets us model support volume and capacity across teams or regions and quickly see what happens when inquiries spike or staffing changes. The Excel add-in is useful when I want to dig into the numbers in the way I’m used to, and the dashboards make it easier to understand planned versus actual results without having to rebuild everything from scratch each time.
What do you dislike about the product?
It still feels heavier than it needs to be for straightforward operational planning. Adjusting or setting up models takes time and usually requires bringing in someone who knows the system better. Larger scenario runs can slow down somewhat, and new people on the team often need a while to get comfortable using it.
What problems is the product solving and how is that benefiting you?
Capacity and workload planning used to live in spreadsheets that were hard to keep up to date and easy to get out of sync. Evaluating different scenarios meant a lot of copying, tweaking, and recalculating by hand. Planning Analytics has made it much faster to run realistic cases and keep our operational plan aligned, so we’re better prepared when support volume shifts and we spend less time dealing with file versions and manual updates.
Oil & Energy
Powerful, Scalable Planning with Excel-Like Ease and Strong ROI
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
Very powerful for very complicated planning calculations. Scalable to any extent. While it replaces excel it has the interface with excel which lets you work in very familiar environment. Integration with Cognos Analytics takes the distribution into a all together different level. The predictive analytics and sandboxing features are very good. While the tool appears expensive against its competitor, I have experienced that this toll gives a very good ROI and always wins against eh competitors in Total cost of ownership. IBM support has been very good for this tool.
What do you dislike about the product?
There are a few areas of improvement I can think of (But these are not something I dislike): Data Integration can be modernized. Turbo Integrator can be upgraded for a vey huge volume of data.
What problems is the product solving and how is that benefiting you?
Very general use case is collaboration. I have worked with a team of 10+ analysts who were creating excels going beyond GBs size and then merging the data and keeping complex calculations has eventually created a mess. Doing the same via Planning analytics let them focus on business rules and see the results live and in parallel. What-if analysis helps the users to forecast and take better decisions.
Banking
Multidimensional Pivot-Table Power Like Excel
Reviewed on Sep 28, 2026
Review provided by G2
What do you like best about the product?
It is multidimensional and make it similar to excel pivot table
What do you dislike about the product?
Less mathematical functions like in excel like LINEST, or Regression
What problems is the product solving and how is that benefiting you?
Solving banking data that stores millions of account in less than 1 hour
KashifAdeel
Integrated planning has simplified decisions and has supported predictive, scenario-based savings
Reviewed on Sep 24, 2026
Review provided by PeerSpot
What is our primary use case?
Most customers using IBM Planning Analytics are from the banking industry, and some are SMEs like Honda Car and Toyota in Pakistan.
How has it helped my organization?
Since implementing IBM Planning Analytics for the client, those upgrading to the new version are definitely getting performance improvements and ease of further integrations with their environment.
What is most valuable?
The biggest advantage of IBM Planning Analytics is that it is fully integrated with the other applications or tools that the customer is using within their environment, and they can get easy availability of local resources familiar with the tools to reap the benefits. The tool itself is easy to use for non-technical users as well.
With reference to discussions with customers, the most valuable functionality in IBM Planning Analytics is the integration with other ERP and other modules that they are currently using, and it is user-friendly for management people who prefer not to engage with complex systems, allowing them to click on some reports and get their output easily. The predictive analytics feature is helpful because planning is the most important part for successful business continuation.
In some cases, the review indicates that savings exceed 50%, and in scenarios where there is a challenge of change management, it is around 20-25%.
What needs improvement?
Regarding the local industry concerning IBM Planning Analytics, the first improvement I suggest is pricing, and they should focus on local training; as much as people become aware of the product, they will grow their business in the local region. IBM Planning Analytics is quite good in research and development, so with each day and the next release, they add more integrations or new features. I would prefer to see IBM Planning Analytics integrated with cloud-based environments or hybrid cloud environments so that people using hybrid data centers, with some applications on-premises and some over the cloud, can have integration to bridge both types of applications. Additionally, the new feature of microservice architecture should be integrated with those applications, making it more flexible and open for market-available applications. It should be improved, and they should incorporate new tools or add features for open-source platforms as well.
For how long have I used the solution?
I started selling IBM Planning Analytics in 2018 and 2019.
What do I think about the stability of the solution?
For stability, I would rate it a nine.
What do I think about the scalability of the solution?
For scalability, I would rate it between seven to eight, leaning towards eight.
How are customer service and support?
The technical support of IBM Planning Analytics is good, but it depends on the SLA we have with them; the better the SLA, the better the support you receive. For support, I would give it an eight out of ten.
How was the initial setup?
The installation of IBM Planning Analytics is moderate; it is neither very tough nor very simple.
What was our ROI?
As quickly as the management gets the decision of their planning or requirements, they work smartly and will benefit from this. These use cases are already available in the market, and we have references that show these capabilities.
Which other solutions did I evaluate?
IBM Planning Analytics is a better tool, as there are other tools available in the market, such as those from SAP, which many people use for project planning. However, IBM Planning Analytics offers more openness compared to those options.
What other advice do I have?
The interface is simple, not very flashy, and while the management is looking for planning or other things, it is easy to understand, but not very colorful. Scenario-based planning in IBM Planning Analytics is helpful in some cases, and while it varies due to local circumstances or industry trends, it definitely helps get some idea. Even if it is not on the exact or 100% outputs, people can get maximum output or insight for their upcoming planning. The biggest challenge when deploying IBM Planning Analytics is the integration with other tools. Most deployments of IBM Planning Analytics are on-premises, as we had it on-premises due to a policy from banks that prevents them from populating their data to the cloud. I would rate this review an eight overall.
Information Technology and Services
Flexible Budgeting and Scenario Planning with Seamless Excel Integration
Reviewed on Sep 17, 2026
Review provided by G2
What do you like best about the product?
I especially value IBM Planning Analytics for its flexible budgeting and forecasting models, strong scenario analysis, and smooth integration with existing data sources. Being able to build multidimensional models and quickly adjust assumptions makes the financial planning process more efficient and easier to manage. Its Excel integration is particularly helpful for finance teams that want familiar reporting tools while still benefiting from centralized planning.
What do you dislike about the product?
The biggest challenge is the learning curve for new users. Setting up dimensions, hierarchies, cubes, and business rules often requires specialized knowledge, and some administration and configuration tasks can feel more complicated than with other cloud-based planning tools. More intuitive workflows, a simpler model-development experience, and additional out-of-the-box templates would help make adoption easier for business users.
What problems is the product solving and how is that benefiting you?
IBM Planning Analytics helps centralize budgeting, forecasting, and financial planning that might otherwise depend on spreadsheets and disconnected data sources. By bringing planning into one place, it improves visibility into financial performance, enables faster scenario analysis, and supports more consistent planning across teams. As a result, it reduces manual effort, strengthens collaboration between finance and business groups, and helps drive better-informed decisions.
Tat Seng W.
Sophisticated Modeling with Seamless Excel Integration
Reviewed on Sep 13, 2026
Review provided by G2
What do you like best about the product?
I really like how IBM Planning Analytics handles complex requirements effortlessly and allows us to model sophisticated processes without any compromise. Compared to other platforms, IBM Planning Analytics stands out because it doesn't require workarounds for complicated modeling. I also appreciate the powerful "Spread and Hold" feature, which simplifies global adjustments and shows deltas almost immediately with just a few clicks, especially when used with the sandbox feature. Additionally, integrating Microsoft Excel with IBM Planning Analytics for Excel is a big plus as it combines a familiar tool with robust data handling capabilities and supports large data volumes and complex calculations.
What do you dislike about the product?
PAoC does not work in China due to the firewall. It would be great if IBM could build some data centers in China to support PAoC. Additionally, setting it up on-premise requires some technical knowledge, which can be a bit challenging.
What problems is the product solving and how is that benefiting you?
IBM Planning Analytics handles budgeting, forecasting, HR planning, and complex financial tasks without compromising on sophistication, unlike other tools. It's ideal for the CFO's office, modeling intricate requirements with ease, and using "Spread and Hold" streamlines adjustments, showing changes instantly.
Atul S.
Fast, Responsive Planning Analytics That Streamlines Budgeting and Month-End Close
Reviewed on Sep 08, 2026
Review provided by G2
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.
Computer Software
Outstanding Performance and Flexible Calculations
Reviewed on Sep 02, 2026
Review provided by G2
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