IBM Planning Analytics (formerly IBM TM1)

IBM is one of the world’s largest vendors of IT hardware, software and services. The company has a global workforce of approximately 380,000 employees and is active in over 170 countries. In 2007, IBM purchased the Canadian software vendor Cognos for about $5 billion (including IBM TM1) to become the center of its future BI product portfolio. IBM’s performance management portfolio is completed by IBM Cognos Controller for financial consolidation and regulatory reporting (originally developed by Swedish vendor Frango) and IBM Cognos Disclosure Management

IBM offers a comprehensive portfolio of on-premises and cloud BI, performance management (planning, consolidation, disclosure management) and advanced analytics solutions. The core offering consists of IBM’s Analytics portfolio, Planning Analytics and SPSS.

IBM Planning Analytics (formerly IBM TM1) – IBM’s strategic planning product – is a core element in IBM’s performance management portfolio and has been on the market since the 1980s. Due to its rich functionality for planning and OLAP analysis, and its in-memory technology, the product plays a strategic role for IBM. Planning Analytics is essentially a high-performance, multidimensional in-memory database for planning and analysis with Excel and web front ends. The product is a development environment targeted at power users that, like Excel, is initially open for all kinds of applications (planning, analysis, strategy management). Therefore Planning Analytics has no dominant focus on certain topics and only a little predefined business content is available with the product.

Planning Analytics is used by enterprises of all sizes and industry sectors. The product is suitable for creating data entry screens for multiple sub-budgets, consolidating their results, and running simple to highly complex calculations. Hundreds of solutions – from small-scale departmental tools to installations with thousands of users – have been implemented worldwide. Resources and expertise for Planning Analytics are widespread.

User & Use Cases

Besides planning, customers mainly use IBM Planning Analytics today for ad hoc query and reporting (80 percent), standard/enterprise reporting (78 percent) and basic data analysis (74 percent). 49 percent of respondents plan to use it for advanced analysis in the future. IBM Planning Analytics targets mid-sized companies and large corporations across all industries. 72 percent of our sample of IBM Planning Analytics customers come from large companies (more than 2,500 employees) with a median of 100 users (with 70 of them using planning functionality), but the mean of 584 users (317 for planning) indicates there are also some significantly larger implementations. 65 percent of IBM Planning Analytics users are planning users – above the survey average of 63 percent – reflecting the fact that IBM Planning Analytics is essentially a planning tool rather than a BI tool.

Current vs. planned use (besides planning)


Percentage of employees using IBM Planning Analytics


Planning users (as a percentage of all users)


Total number of users per company


Planning users per company


Company size (number of employees)


Summary of IBM Planning Analytics (formerly IBM TM1) highlights

With 22 top ranks and 17 leading ranks in five different peer groups, IBM Planning Analytics again achieves a great set of results in this year’s Planning Survey. Convincing ratings in numerous important KPIs help to consolidate its position as a global market leading planning and simulation vendor. Companies can benefit from using Planning Analytics in terms of improved integration of different sub-budgets, improved integration of planning with reporting/analysis, improved integration of strategic and operational planning and increased competitive advantage. 87 percent of respondents are ‘somewhat satisfied’ or ‘very satisfied’ with Planning Analytics, a major reason behind its recommendation rate of 81 percent. IBM offers a comprehensive planning and OLAP analysis tool which customers appear to be very satisfied with.

Product satisfaction – Top-ranked

Peer Group: Enterprise Software Vendors

Reporting & analysis – Top-ranked

Peer Group: Enterprise Software Vendors

Performance satisfaction – Top-ranked

Peer Group: Enterprise Software Vendors

Flexibility – Top-ranked

Peer Group: Enterprise Software Vendors

User experience – Top-ranked

Peer Group: Enterprise Software Vendors

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BARC’s Vendor Performance Summary contains an overview of The Planning Survey results based on feedback from IBM Planning Analytics (formerly IBM TM1) users, accompanied by expert analyst commentary.

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Planning Survey 19 Awards

IBM Planning Analytics (formerly IBM TM1)

Peer Groups BI-focused products, Enterprise software vendors, Flexible planning platforms, Global vendors, North American Vendors
Number of responses89
ProductIBM Planning Analytics (formerly IBM TM1)
OfficesGlobal offices in more than 170 countries worldwide
Employees> 380,000
Revenues (2018)$ 79.6 billion

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Screenshots from IBM Planning Analytics (formerly IBM TM1)

Quotes from the Planning Survey 19

Scalability and speed are the biggest factors that pushed TM1 to the next level as product of our choice.
Member of a cross-departmental BI team, education, more than 2,500 employees
Outstanding piece of software, which is very flexible and agile and which has a broad variety of potential usage.
Person responsible/Project manager for departmental BI, manufacturing, more than 2,500 employees
Rapid implementation and further development in business departments possible. Strong international software vendor.
Line of business employee, transport and logistics, more than 2,500 employees
Positive; rapid development and suitable for business departments, early and quick reaction to feedback possible. The tool can be adapted to business departments, they don’t have to adapt to the tool.
Person responsible/Project manager for BI from IT department, manufacturing, more than 2,500 employees
A flexible OLAP tool that can be administered by controllers themselves without much IT effort. Data models (cubes) are easy to create. Calculations / business plans for new product ideas in operational areas can be quickly transferred into the data model through its Excel integration - essential in a highly dynamic environment.
Head of business department, media/publishing, 101-2,500 employees