IBM Planning Analytics for IBM Cloud Pak for Data

What do you like best about the product?

I like the clarity and clean UI of IBM Planning Analytics. It's easy to use and not cluttered.

What do you dislike about the product?

Training needed for basic use. It was not intuitive to use and needed some growing pains.

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

I use IBM Planning Analytics for budgeting and forecasting, allowing me to forecast budget needs based on last year's data.

What do you like best about the product?

I use IBM Planning Analytics for integrated planning, automation, advanced analysis, scalability, and flexibility. I like that it eliminates spreadsheet chaos, reduces manual work and errors, and speeds up planning and execution. I appreciate the real-time insights and value the automation and 'what if' scenarios for their flexibility. I use the TM1 Engine for its speed, flexibility, efficiency, and consistency. In planning and budgeting, I enjoy the centralized planning and rolling forecasts, while the scenario modeling's predictive analysis is something I find particularly useful.

What do you dislike about the product?

It is multidimensional and intimidating for new users.

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

IBM Planning Analytics eliminates spreadsheet chaos, reduces manual work and errors, speeds up planning and execution, provides real-time insights, and offers automation and flexibility.

What do you like best about the product?

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.

What do you dislike about the product?

I find the outdated user interface in some modules a bit frustrating.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.

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

IBM Planning Analytics eliminates error-prone spreadsheets, automates financial consolidations, and supports dynamic scenario modeling, improving data accuracy and planning efficiency across our global divisions.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

I use IBM Planning Analytics to centralize planning, reducing errors and manual work. Its scenario modeling helps us manage cost volatility, and integrating financial-operational plans aligns budgets with real production data, improving accuracy and decision-making.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

IBM Planning Analytics centralizes financial planning, replacing spreadsheets and reducing errors. It streamlines project-based budgeting, tracks client-specific expenses, and forecasts revenue in real time, saving us manual reconciliation time and providing unified data for accurate decision-making.