Whether you are building a new model, adding objects to an existing application, or simply maintaining a Planning Analytics solution, there is opportunity to automate the creation of standard subsets. This can be done via TI process and be applied to all the Dimensions within the model. This ensures that subsets are configured consistently across…

I have often found myself rewriting the same command line scripts to parse through the Planning Analytics data directory.  Here are a few common use cases for doing so: 1) Checking dependencies of objects a. Ex. Without opening all the chores, how can I confirm which chore runs the process “Cube – Finance – Load…

There are several design considerations when building dashboards, such as presenting information in a clear and concise manner, ease of navigation, and usability.  Additionally, adding customizations to match your company profile and brand will help to embed analytics within your organization and provide a seamless transition from other applications with a matching look and feel.…

Snowflake is a data warehouse, and it has gained a lot of popularity in recent years. Organizations choose to store and process their data in Snowflake which is a great data platform. Most organizations also need an analytics platform to build their forecast, perform ad-hoc analysis, and create dashboards. IBM Planning Analytics (Cloud) is an…

An allocation model is commonly used in a planning and budgeting process. A simple allocation model distributes an amount, such as expenses, to different segments of a business. The segments can be cost centers, departments, sales teams, etc. An example of a simple allocation model is an IT allocation model which allocates the total IT…

Using a Selector in Planning Analytics Workspace A “selector” in IBM Planning Analytics Workspace (PAW) is a “widget” that lets you pick members, sets, or levels for a corresponding view of data. When a selector is synchronized with a view, what you pick (in the selector) is automatically applied to that view. For example, suppose…

One of the most common mistakes when designing a report, a view or a visualization of data is to include too much information. Too much information can make it difficult for consumers to formulate “takeaways” and gain insights. IBM Planning Analytics Workspace (PAW) provides an interface rich in options for presenting your data so it’s easy…