Reflections on the Retirement of TM1 Architect and Perspectives

Reflections on the Retirement of TM1 Architect & Perspectives Blog Cover

IBM has officially retired TM1 Architect and Perspectives as of October 31, 2025, concluding a significant chapter for TM1 users. Over the years, these interfaces became essential for development and reporting but lagged in modernization. Their retirement allows IBM to focus on advancements like Planning Analytics for Excel and Planning Analytics Workspace, promoting a future with enhanced capabilities and intelligence in analytics.

Git Integration for IBM Planning Analytics

Git Integration for IBM Planning Analytics - Blog Cover

IBM Planning Analytics Workspace released a Git integration feature that allows users to interact with a Git repository directly from the Data and Models interface. This integration feature can significantly improve version control, server management, and collaboration.

PAfE: IBM Planning Analytics for Excel

PAfE Blog Cover

IBM Planning Analytics for Excel (PAfE) is a Microsoft Excel add-in that empowers users to build sophisticated reports and perform ad-hoc analysis using real-time Planning Analytics data. The add-in offers five unique report types for users to create.

Cloud Enterprise Performance Management: Data41’s EPM Foundation Approach

Cloud Enterprise Performance Management

Cloud Enterprise Performance Management (EPM) When embarking on a cloud Enterprise Performance Management (EPM) project, it is important to recognize the history of the space, where it has grown from, and where it is headed. It is currently in a mature phase of its life cycle. This maturity is not a bell curve like traditional […]

Ten FP&A Best Practices for Data Analytics

FP&A Best Practices for Data Analytics

FP&A ensures that businesses are utilizing their resources with the utmost capacity for growth – it is crucial to company strategy, execution, and performance. Your data has the power to improve budgeting, forecasting, reporting, and enable smarter decision-making. So, how do you make sure you’re milking the most out of your data? You follow these […]

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