I appreciate IBM Planning Analytics most for its powerful scenario modeling and unified data framework. It allows me to run flexible what-if analyses and adjust rolling forecasts efficiently, all based on one reliable source of truth to avoid duplicated or conflicting data. It integrates smoothly with our internal platforms and supports automated data consolidation, cutting down heavy manual workload and letting me focus more on strategic business insights instead of repetitive spreadsheet work. It also connects seamlessly with SAP ERP and our BI tools, simplifying data synchronization and supporting clear, actionable business dashboards. Review collected by and hosted on G2.com.

The biggest downside is its steep learning curve, especially for non-technical team members. Advanced modeling and custom configuration require professional training, slowing down team onboarding. The interface feels outdated compared to modern cloud tools, with rigid navigation and limited self-service reporting functions, leaving many routine tasks dependent on the central analytics team. Besides, system integration with our telecom infrastructure is quite complicated to deploy and maintain, relying on continuous IT support. Review collected by and hosted on G2.com.

The ease of creating planning systems, creating KPIs and engaging with end users Review collected by and hosted on G2.com.

building feeders, this could be easier and faster to build Review collected by and hosted on G2.com.

I like IBM Planning Analytics for its unmatched strength in handling large-scale, complex enterprise planning, especially for a global industrial automation business like ours. Its multi-dimensional modeling engine (TM1) is incredibly powerful, allowing us to build detailed, flexible models for production forecasting, supply chain planning, and profitability analysis, which scale effortlessly across thousands of cost centers and global sites without performance issues. I appreciate the real-time data aggregation and collaboration features that enable finance, operations, and engineering teams to work on the same plan simultaneously, eliminating version chaos and delays. I also find its deep scenario-planning capabilities extremely valuable, allowing us to quickly simulate supply chain disruptions, material price changes, or shifts in production demand, which is critical for our operations. Review collected by and hosted on G2.com.

I find the outdated user interface in some modules a bit frustrating. Parts of IBM Planning Analytics feel dated compared to modern planning tools. The navigation isn’t always intuitive, and the dashboards require heavy customization to look clean and user-friendly for non-technical managers. Also, there is slow performance with extremely large datasets. When running full-year forecasts across our global production, supply chain, and sales entities simultaneously, the queries and consolidations can lag. While it handles scale well overall, it's not as fast as I’d expect for real-time decision-making on the factory floor. Review collected by and hosted on G2.com.

I appreciate IBM Planning Analytics for its powerful scenario modeling and forecasting engine, which is perfect for dealing with the volatility in our glass, ceramics, and concrete manufacturing business. It allows us to build multiple what‑if models quickly to evaluate risks and adjust plans in real time, transforming how we anticipate cost changes and stabilize margins. Another feature I like is how it unifies financial and operational planning into one system. Unlike spreadsheets, IBM Planning Analytics integrates manufacturing volumes, supply chain plans, procurement expenses, and revenue forecasts seamlessly, eliminating mismatched data and ensuring our plans reflect our actual plant capacity and operational constraints. Review collected by and hosted on G2.com.

One pain point is the learning curve and configuration complexity. Setting up new models, adjusting dimensions, or modifying scenario structures often requires support from our analytics team or external consultants; it’s not intuitive enough for general finance or production users to self-serve. Simple changes to planning templates can take longer than expected, slowing down our ability to adapt quickly during peak planning seasons. We also find the user interface somewhat dated and less responsive compared to modern cloud planning tools. Daily users, especially those on the production floor and in logistics, find it less user-friendly, which can reduce adoption and lead to occasional manual workarounds. Review collected by and hosted on G2.com.

I appreciate the strong multi-dimensional planning structure of IBM Planning Analytics and its reliable performance for handling project-based data, which suits our information services business well. Its ability to organize budgets and forecasts by project, department, client, and time period makes it more powerful than basic spreadsheets. I can track revenue, resource costs, and margins in detail while still seeing the big financial picture. The forecasting and scenario modeling tools are also standouts, allowing us to quickly test different business cases, which is essential in our dynamic industry. I value its stable integration with our existing project management and ERP systems, which automates data flow and reduces manual work. Its automated forecasting pulls real-time data from our project and ERP systems, maintaining accurate, up-to-date projections and helping us anticipate cash flow needs and adjust staffing plans earlier. Scenario modeling has transformed how we evaluate opportunities and management decisions, completing what-if analyses in minutes. The integration capabilities ensure a unified planning environment that strengthens accountability and allows us to focus on strategy. Review collected by and hosted on G2.com.

One of the biggest drawbacks is the steep learning curve, especially for non-finance users such as project managers and department leads. Many of our colleagues only need to enter project budget data or review forecasts, but they find the interface overly technical and unintuitive. Simple tasks often require guidance from the finance team, which slows down adoption and creates extra support work. The user interface itself feels somewhat dated and lacks modern, user-friendly design. Navigation can be confusing, with too many clicks needed to access commonly used reports or input screens. Mobile usability is also limited, making it inconvenient for staff working on-site with clients or away from their desks. Review collected by and hosted on G2.com.

I appreciate how IBM Planning Analytics combines powerful multidimensional modeling with reliable performance. It lets us structure data by product lines, sales regions, production sites, and time periods all at once, making it easy to slice and compare performance for seasonal planning and promotions. The forecasting and scenario-planning tools stand out the most for our industry. We regularly model changes in raw material prices, seasonal demand spikes, and marketing campaign impacts, and the platform handles these complex what-if simulations smoothly without slowing down. This has been a game-changer for staying agile in consumer goods, where market conditions shift quickly. Review collected by and hosted on G2.com.

One major pain point is the steep learning curve. Many of our sales, production, and marketing staff only need to enter budget updates or view basic reports, but they find the interface and navigation unintuitive and overly complex. Simple tasks sometimes require extra training or support from the finance team, which slows down departmental participation. The outdated user interface is another issue. It lacks the modern, mobile-friendly design found in newer planning tools. Accessing forecasts or approving budgets on the go is cumbersome, which is inconvenient when our managers are visiting production facilities or meeting retail partners. Review collected by and hosted on G2.com.

What I like most about IBM Planning Analytics is how it turns messy, disconnected spreadsheet data into a single, reliable planning system that perfectly fits our small furniture manufacturing business in Krumbach. As a company with only 12-15 employees, we don’t have a large finance or data team, so simplicity and usability matter greatly. The platform lets us easily build forecasts for material costs, production timelines, and project profitability without advanced technical skills. I especially appreciate its strong forecasting capabilities and real-time data visibility. We can quickly update cost assumptions for wood, fittings, and labor, and instantly see how changes affect margins on custom furniture orders. The reporting features are straightforward and generate clear, professional overviews that help us make quick, confident decisions. It also integrates smoothly with our existing workflows, reducing repetitive manual work and freeing our team to focus on craftsmanship and customer projects instead of data entry. Review collected by and hosted on G2.com.

The system feels overly heavy for a small workshop. Some advanced modules for complex supply chain and financial planning are irrelevant to our custom furniture production, yet they take up storage and complicate the interface. Integration with our local production software can be inconsistent, often requiring manual data checks to ensure accuracy between material orders and project plans. Review collected by and hosted on G2.com.

I like how IBM Planning Analytics brings unmatched clarity and control to our complex consumer goods planning in Berlin, especially at the SKU and product-line level. It centralizes all our financial, sales, and supply chain data in one place, so we no longer waste hours reconciling conflicting numbers or chasing updated files. The ability to build detailed, real-time forecasts and run instant what-if scenarios has completely transformed how we plan for raw material costs, seasonal demand, and promotions. For a business with hundreds of SKUs across Germany, this level of agility is invaluable. Review collected by and hosted on G2.com.

The biggest issue is its user interface, which feels dated and overly technical for non-FP&A team members. Our sales and supply chain staff in Berlin often find it unintuitive and struggle with basic navigation, which slows down adoption. Many end-users stick to exported Excel files instead of using the platform directly. First, the learning curve is still too steep for casual users. Simplified, role-based dashboards for sales, production, and logistics staff—instead of one complex interface—would encourage more people to use the system directly instead of relying on exported spreadsheets. Second, better mobile and offline access would help our field and warehouse teams in and around Berlin input data or check forecasts on the go, rather than waiting until they’re at a desk. The initial setup of IBM Planning Analytics was functional but not particularly easy, especially for our Berlin-based consumer goods team without deep TM1 technical experience. Review collected by and hosted on G2.com.

I appreciate how seamlessly IBM Planning Analytics unifies our financial planning, forecasting, and operational data into one cohesive system, which is incredibly valuable for our mid-sized furniture company in Munich. Unlike fragmented spreadsheets that often lead to version conflicts and data inconsistencies, this platform provides a single source of truth for our finance, production, and sales teams. Real-time collaboration allows us to adjust forecasts and budgets simultaneously, especially when responding to fluctuations in raw material costs or shifting demand for our custom furniture lines across Germany. The platform also helps us build accurate demand forecasts by integrating historical sales data, regional production volumes, and raw material cost fluctuations. It simplifies scenario modeling, speeds up reporting cycles, and supports data-driven decisions. By centralizing data and automating manual calculations, it reduces spreadsheet errors and helps improve decision-making efficiency. Review collected by and hosted on G2.com.

The user interface can feel dated and less intuitive compared to modern cloud tools, meaning new employees in sales and production often require longer training to fully navigate the system. Some basic data entry and report customization tasks feel unnecessarily complex, slowing down daily workflows. Integration with our existing production and inventory tools also requires more manual setup and maintenance than expected; data flows aren’t always seamless, leading to occasional small sync delays. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

High cost and set up efforts. UI tools are not enough to build attractive dashboards. Review collected by and hosted on G2.com.