IBM Planning Analytics Workspace PAW (Instructor-led, Online)

IBM Planning Analytics Workspace PAW (Instructor-led, Online)

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Course Length: 1 days

IBM Planning Analytics capabilities span personal, functional, and enterprise requirements for planning, analysis and reporting to help Finance drive timely decision-making. Analysts and Managers can use Microsoft Excel and a web interface to analyze their business performance.

Overview: Attendees will learn to provide self-service analytics to key performance indicators to users through an interactive, customizable workspace, analyze data exploration and natural language queries based on common business terms, create clear, compelling graphics and integrated scorecards to share with decision makers. Participants will retain familiar Microsoft Excel spreadsheets with enhanced functionality, and plan detailed, what-if scenario modelling with powerful hierarchy capabilities, enabling you to model attributes of hierarchies for more granular analysis.

 

This is a one day instructor-led course.

 

Please email us at training@quebit.com for pricing, available dates and more information.

Objectives

Upon successful completion of this course, attendees will be able to:

  • Define IBM Planning Analytics Workspace
  • Create Dashboards
  • Understand Hierarchies
  • Analyze Data with Planning Analytics Workspace charts and Planning Analytics for Excel (PAfE) reports
  • Create a New Book and View
  • Define Elements, Dimensions, Attributes, and Cubes
  • Access Data and Objects Quickly
  • Utilize Sandboxes

Audience

Knowledge Level: Introduction

Field of Study:  Specialized Knowledge

Delivery Method:  Group Internet based

Participants will earn 7.0 CPE Credits.  To be awarded the full credits, you must fully attend the course.

Prerequisites

A knowledge of your organization’s data, structure and Microsoft Excel experience is necessary. 

Instructor

Your instructor will be Maria Lack. Maria is an Implementation Manager based in San Diego, CA. She is certified in IBM's TM1 / Planning Analytics. She has been with QueBIT since 2015 and brings a wealth of project experience.