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.
The technology that eventually became TM1 was first developed in 1983 and, after a few acquisitions through the decades, it was purchased by its current owner, IBM, in 2009. Around 2014-2015, IBM began developing a major overhaul to the application in order to keep up with changing trends in the way we use technology and the changing landscape of business analytics.
In order to initially set up a Planning Analytics server/service/database (hereafter referred to as ‘server’), the server requires a configuration file that contains specific parameters and information about the server. These items cover a variety of functions including system administration, performance tuning, optimization, and security.
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.
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.
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.
Financial analysts will occasionally need to review specific transactions that make up balances if anomalies or outliers are detected in reports. The capability to ‘drill through’ a summary balance into a separate data source containing transactional detail (without logging into a separate system) is one of the many benefits provided by Planning Analytics.
Creating a dedicated reporting cube, you remove the potential for data changing as it is a static load versus a cube that users can input data into and data can change throughout the day. This is accomplished using TurboIntegrator (TI) processes to move data between cubes. A reporting cube can combine data from multiple Planning Analytics cubes into a single cube.
The Data and AI Forum was packed full of keynotes, hands-on labs, product roadmaps, and much more. Some of our consultants attended the conference have collaborated with each other to share the topics that caught their attention with you. Enjoy.
There are a number of reporting options included “in the box” with Planning Analytics, but knowing what to use for what purpose can be confusing. This post looks at PAW, PAX and TM1Web at a high level to help you understand which tool to use for which purpose.
In April IBM introduced a new program that streamlines licensing for IBM Analytics customers. The FlexPoints program simplifies current perpetual based IBM licensing along three core platforms: Data Science and Business Analytics; Hybrid Data Management; and Unified Governance and Integration.
IBM was identified as a BI platform leader for analytics solutions in a recent analyst publication from the Business Application Research Center. The report, known as the BARC Score, evaluates enterprise BI platform solutions on two core dimensions: market execution and portfolio capabilities.
