Posts in Planning Analytics
How to Build Applications and Plans in IBM Planning Analytics Workspace

Applications and Plans serve as your gateway to a structured, systematic experience within Planning Analytics Workspace (PAW). Whether you're navigating essential reports and charts or guiding users through budget entry contributions and approvals, Applications and Plans enhance your user's PAW experience. This article offers an in-depth explanation on building Applications and Plans, empowering you to optimize your PAW utilization.

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Single-Cell Visualization

In Planning Analytics Workspace release 2.0.81, IBM added a new Single Cell visualization type with several unique capabilities. The Single-cell visualization is a single cell Exploration that has been added as a Visualization. You can still create a single-cell view using the Exploration visualization, but it is much easier to use the Single-cell visualization type. The Single-cell visualization is designed to display a single value from a cube without row or column headers and without the context filters. Using the Fields Property, you can configure and filter your cube data to arrive at a single value for the visualization. So, when you have the need, you can quickly add a simplified, single-value display to your report or dashboard.

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Data Visualizations in Planning Analytics

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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What's New in Planning Analytics?

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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Using IBM Planning Analytics for Consolidations

Existing customers of IBM Planning Analytics are likely performing consolidations of some sort, and oftentimes using different software systems to do so. These organizations come to realize that by layering the consolidation processes into their Planning Analytics system, they can save by not having to license and maintain multiple systems, train personnel on different products, and address technical issues with compatibility. This article will cover the many benefits of using Planning Analytics, or PA, to perform consolidations.

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IBM Planning Analytics with Watson (PA) vs Anaplan vs Workday Adaptive Planning

Whether you’re a small business or a large enterprise, when it comes to planning for your organization’s success in an unpredictable world that is data-driven, chances are that you have outgrown Excel spreadsheets and are looking for an extended planning and analysis (xP&A) software solution such as IBM Planning Analytics with Watson, Anaplan or Workday Adaptive Planning. Let’s have a closer look at some of the key features in IBM Planning Analytics with Watson, Anaplan, and Workday Adaptive Planning.

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Kai Ming’s PMsquare Children’s Center Opens Its Doors

Kai Ming, a non-profit agency providing comprehensive early care and education services for underprivileged children, and PMsquare, a data analytics technology and consulting firm, are excited to announce that the PMsquare Children’s Center has officially opened its doors on May 13th in Mission Bay, San Francisco.

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New Cube Viewer & Set Editor in Planning Analytics (2022)

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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Which To Choose: Staff Aug or SaaS Anywhere?

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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AI Ethics & Explainability for IBM Analytics Practitioners

With the inevitable, ever-tighter AI integration and infusion with IBM’s products, analytics practitioners need to understand the AI pillars and explainability principles that IBM espouses. These principles should be understood by CA and PA developers, administrators, and product owners, as they will inform the future direction of the AI components of each core product. Most importantly, it will be necessary for doers in our space to use the explainability toolkit in order to explain why models (and integrated, downstream components) predict/project/suggest/decide what they do to our business partners.

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