What’s New in IBM Planning Analytics Workspace (PAW)

It is great that IBM update PAW and keep it secure but we know how hard it is to keep up with updates and latest versions. This guide brings together the latest Planning Analytics Workspace (PAW) updates, with a focus on what they mean in practice for businesses and users.
Rather than listing every technical change, we highlight the updates that impact planning, reporting, usability, and governance, and we keep this page updated as new releases are announced.
Latest Updates
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Easier navigation: Switch between public and private cube views without leaving the cube viewer, making it quicker to compare perspectives and keep your workflow moving.
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Simpler member selection: A more compact multi-select dropdown makes choosing members in books faster and easier, especially when working with larger dimensions.
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Clearer presentation: Apply simple Markdown formatting to text in single-cell visualisations to make commentary and explanations easier to read.
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More understandable forecasts: Multivariate forecast results now include natural-language summaries, helping users interpret outputs without specialist knowledge.
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Greater forecasting control: Choose the Holt-Winters model family for univariate forecasts to better match different data patterns.
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Faster variance analysis: AI-generated insights highlight the key differences between plan and actuals, reducing manual analysis time.
- Faster schedule updates: Update start times for multiple chores at once in the modelling area, making routine admin changes quicker and less repetitive.
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Simpler Excel configuration: Configure Planning Analytics for Microsoft Excel directly from Planning Analytics Administration, removing the need to manually edit configuration files.
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Easier AI assistant setup: Manage your custom watsonx Orchestrate connection directly from Planning Analytics Administration, simplifying configuration and ongoing maintenance.
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Set forecast value limits: Define minimum and maximum ranges for baseline forecasts to keep results within realistic business limits.
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Edit hierarchies from the cube viewer: Open the dimension editor directly from the cube viewer, making hierarchy updates quicker and easier while working in models or books.
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Simpler Websheet configuration: Configure the Websheet service directly from Planning Analytics Administration, removing the need to manually edit configuration files.
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User-level AI assistant access: Enable the Planning Analytics AI assistant per user, giving you better control over access and licensing.
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Baseline forecasts in LCM: Include baseline forecast assets in Lifecycle Management, making it easier to move forecasts between environments.
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Bulk permission updates: Set permissions across multiple assets at once, reducing the time spent managing access.
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Custom process notifications: Add tailored notification messages when processes run from action buttons exit early, improving visibility and troubleshooting
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Faster content navigation: Improved performance makes moving around Reports and Analysis, Data and Models, and Plans and Applications noticeably quicker.
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Larger set editing: Copy and paste large member sets in the set editor, making complex set management faster and more efficient.
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Data accountability: Assign ownership of specific slices of cube data to groups, making responsibility and progress easier to track.
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Automated plan actions: Trigger TurboIntegrator processes based on user activity in plans, helping automate steps within planning workflows.
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Easier process debugging: Open process logs in a dedicated workbench tab, making it simpler to review and debug processes without losing your place.
- Database creator visibility (SaaS): View the name of the user who created a TM1 database in Planning Analytics as a Service, improving transparency and accountability.
Questions about these updates?
If you’d like to talk through how any of these Planning Analytics Workspace updates might affect your environment, or discuss older versions, we’re always happy to help.
You can send your questions or thoughts to contactus@aramar.co.uk, and one of the team will get back to you.