If you are in the market for a budgeting and forecasting application like IBM Planning Analytics and you are curious about the architecture and components within Planning Analytics, then read on.
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Data visualization has become an increasingly important tool in today's data-driven world. By converting complex data sets into visual representations, we can quickly identify patterns, trends, and insights that would be otherwise difficult or impossible to detect. IBM Planning Analytics Workspace, or PAW, is designed to offer a user-friendly and intuitive interface that makes it easy for users to create data visualizations. In this article, we will explore how one can use different visualization types, the layout of a workbook, and different property settings in PAW to create an appealing design that truly stands out from the rest, capturing the attention of the audience and effectively conveying important insights from the data.
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We’re discussing some of the new features and enhancements from the last few releases of Planning Analytics Workspace. We will dive into several topics ranging from changes to Dimension Editor, enhancements to building a book, to the all-new TI Process Debugger. The last few releases might not have been as hyped up as some releases of PAW in the past, but there are certainly some changes to make note of. Whether you're a seasoned user or new to Planning Analytics Workspace, these updates are worth checking out!
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IBM’s latest releases include a “new experience” cube viewer (or exploration) and a newly configured Set editor. There are several improvements and enhancements to the new viewer and set editor that represents IBM’s direction in making features easier to access. IBM is focused on improvements to the “new experience” within Workspace as it plans to deprecate the “classic experience”.
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Just the other day, I was wrangling with a DIY challenge and spent hours trying to make a scattering of suboptimal tools I had work when a short run to the hardware store would have solved all my problems in minutes. In much the same way in analytics consulting, I see my clients sometimes struggling to find the right service for their challenges of the near and long term. In this piece, I’ll share an overview of two seemingly similar service options and discern the right time to engage for each.
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Track the run time of Planning Analytics TurboIntegrator (TI) processes by creating a cube with 3 specific dimensions and a little bit of code.
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The Planning Analytics Modeling Workbench is a new modeling tool for developers in Planning Analytics Workspace. It is a dedicated modeling area that has tabs and sections for organizing your modeling tasks and is optimized for all types of modeling activities in PA.
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In a prior issue, my colleague Brian Moore introduced us to the Forecasting feature now available in Planning Analytics Workspace (PAW). Today we take an in-depth look at the steps to set up a Preview forecast and to apply a forecast to your model.
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The applications and plans feature is a new feature as of the 2.0.58 (October 2020) release of Planning Analytics. It represents a brand-new approach to managing the budgeting process. Applications and plans let you organize logically related Planning Analytics Workspace assets such as books, views, and websheets in containers called assets. How the assets are organized is completely up to the administrator. Books or views can be organized to match your management structure or based on the flow of specific tasks.
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With the rollout of Planning Analytics Workspace Local 2.0.57 (and 2.0.58 in Cloud), IBM released long-anticipated Predictive Forecasting capabilities. This allows users to generate forecast data based on historical actuals within the cube. Sophisticated statistical algorithms calculate behind the scenes to provide accurate time series projections which blend trends and seasonality.
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Well, it has finally arrived! Planning Analytics Workspace 57 is here, and it is an exciting release. Users will notice a number of functional and cosmetic updates in this release, however, this blog post will focus on the groundbreaking new product enhancements. The main feature and updates that will be discussed are the changes to the ‘Welcome’ and ‘Administration’ pages, ‘Books and Visualizations’ improvements, the brand-new algorithm-based Forecasting feature, as well as Applications and Plans workflow feature.
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Planning Analytics 2.0.52 brings notable updates including changes to Set Editor, improved scrolling, a new drag & drop procedure, a new toolbar, updates to Default View settings, optimized save & reload book actions, & new book items. Learn how to successfully implement and navigate these changes in Planning Analytics 2.0.52.
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Applying AI to your planning process doesn’t mean that HAL 9000 is in the back office churning out next month’s sales numbers while analysts eagerly scribble down the results. In the current sense, predictive planning typically refers to the combination of time series forecasting algorithms and seasonality patterns from historical results to project future outcomes with greater accuracy.
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Planning Analytics 2.0.49 brings three updates worth noting: Dynamic Shapes and Images in Websheets, changes to how Hierarchies are sorted in Workspace, and enabling Security Access for Processes. Learn how to successfully implement and navigate these changes in Planning Analytics 2.0.49.
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Keeping your PAA Agent version up to date with your PAW version will ensure proper operation of the PA Administration console in PAW.
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