Posts in Planning Analytics
Introducing Cloud Data Delivery

PMsquare is proud to announce the formation of our new Cloud Data Delivery business unit. Cloud Data Delivery brings together decades of experience solving data pipeline, data warehousing, and business intelligence challenges from across the organization into a single entity focused on delivering cloud-first data solutions and migrating existing on-prem data warehouse and BI workloads to the cloud.

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New Features for Managing Workflow within Planning Analytics (Applications and Plans)

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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Predictive Forecasting in Planning Analytics Workspace (PAW)

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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What is PMsquare Managed Analytics Services?

The vision was to combine our global organizational reach (offices in: US, Germany, Australia, Singapore, Sri Lanka, India) with our proven methodology to create a repeatable and scalable support arm for our customers’ unique needs. Over the course of the last 3 years, we have implemented and hardened processes to seamlessly coordinate across our global team and deliver value to our customers. Over that time, we have expanded our supported technologies significantly as well, to the point where we now can support many front-end BI tools, major cloud providers, and data pipeline applications.

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What's New in Planning Analytics Workspace 2.0.57

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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Legacy TM1 vs Planning Analytics (PA)

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.

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What's New in IBM Planning Analytics - Version 2.0.52

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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Embedding Predictive Analytics Into the Planning Process

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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Drilling Through to Greater Detail with Planning Analytics

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.

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Planning Analytics Reporting Cubes

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.

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