Oracle Sales Cloud: Analytics Course Overview

Oracle Sales Cloud: Analytics Course Overview

The Oracle Sales Cloud: Analytics course provides a comprehensive guide for learners to master analytics within the Oracle Sales Cloud environment. Through a structured curriculum, the course introduces various analytical tools and functions crucial for creating insightful reports and data visualizations that support business decision-making.

Module 1 lays the foundation with an introduction to analyses, reports, and the underlying data structure, including subject areas and BI tools. Module 2 dives into the nuances of data filtering and the use of variables to refine data insights. Module 3 focuses on data presentation techniques like tables, graphs, and conditional formatting, while Module 4 deals with displaying data through infolets and dashboards. Module 5 is about managing reports, addressing scheduling, distribution, and security aspects. Finally, Module 6 enhances report navigation with action links and drilldowns.

By the end of the course, learners will possess the skills to effectively analyze sales data, craft comprehensive reports, and tailor analytics to the specific needs of their organization, thereby bolstering strategic sales initiatives.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 24 Hours)
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  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

Certainly! Below are the minimum required prerequisites for students interested in undertaking training in the Oracle Sales Cloud: Analytics course:


  • Basic understanding of Customer Relationship Management (CRM) concepts
  • Familiarity with Oracle Sales Cloud user interface and navigation
  • Fundamental knowledge of data analysis and reporting
  • Basic experience with business intelligence concepts and tools
  • An introductory level of understanding of databases and data structures (e.g., tables, fields)
  • Proficiency in using web browsers and general computer usage

Please note that while these prerequisites are aimed at ensuring a productive learning experience, the course is designed to be accessible to learners with varying levels of prior knowledge. Our instructors are skilled at catering to the needs of both novices and experienced professionals within the IT domain.


Target Audience for Oracle Sales Cloud: Analytics

The Oracle Sales Cloud: Analytics course offers comprehensive insights into data analysis within the Oracle environment, tailored for professionals in data-driven roles.


  • Business Analysts
  • Data Analysts
  • Sales Operations Managers
  • CRM Administrators
  • Business Intelligence Professionals
  • IT Professionals working with sales data
  • Oracle Cloud Application Users
  • Sales Managers and Executives
  • Marketing Analysts involved in sales data
  • Database Administrators looking to expand into analytics
  • ERP Consultants specializing in Oracle products
  • Report Developers
  • System Integrators
  • Technical Support Staff for Oracle Sales Cloud
  • Project Managers overseeing Oracle Sales Cloud deployments


Learning Objectives - What you will Learn in this Oracle Sales Cloud: Analytics?

Introduction to Course Learning Outcomes:

Gain expertise in Oracle Sales Cloud Analytics to transform data into insightful reports and dashboards, enhancing decision-making and sales strategies.

Learning Objectives and Outcomes:

  • Understand the foundational elements of analyses and reports within Oracle Sales Cloud.
  • Identify and utilize subject areas, dimensions, facts, and measures for effective data analysis.
  • Combine multiple subject areas to create comprehensive analytical reports.
  • Employ BI Composer and BI Answers to build and customize reports according to business needs.
  • Organize and manage analytical content using the BI Catalog for efficient data retrieval.
  • Apply filters and variables to refine data sets and enhance report accuracy.
  • Design and implement interactive dashboards and infolets for real-time data visualization.
  • Create and format various data visualizations including tables, graphs, gauges, pivot tables, and Pareto charts.
  • Schedule reports for automatic distribution and manage analytic access and security settings.
  • Utilize action links and drilldowns to enable seamless navigation and in-depth analysis within reports.