Business Intelligence: Project Data Analysis


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

In this 13-video course, learners will explore how advanced project data analysis is performed with different methods; strategies for adopting a data-driven mindset; and how to frame a data strategy. In addition, discover common business intelligence applications that can be used to analyze, query, and report data at an organizational level. Begin by learning about the need to revise data analysis methods for business intelligence (BI), and examine BI applications commonly used to analyze and report information. Explore key drivers for an organization to adopt a BI solution; recognize practices for developing a data-driven mindset within an organization; and observe steps involved in planning for BI across the organization. Examine how a data strategy aligns the organization's data-related activities towards providing BI insights; learn to recognize the need to build the best team for successful BI orientation across an organization; and view considerations that pertain to defining key performance indicators (KPIs), for BI-related data analysis. Also learn about Advanced Analytics for BI; telling stories through reports; and guidelines for a successful BI project.



Expected Duration (hours)
1.2

Lesson Objectives

Business Intelligence: Project Data Analysis

  • discover the key concepts covered in this course
  • describe the need to revise data analysis methods for business intelligence
  • describe business intelligence applications commonly used to analyze and report information
  • recognize the key drivers for an organization to adopt a business intelligence solution
  • recognize practices to adopt for developing a data-driven mindset within an organization
  • describe the steps involved in planning for business intelligence across the organization
  • describe how a data strategy aligns the organization's data-related activities towards providing business intelligence insights
  • recognize the need to build the best team for successful business intelligence orientation across the organization
  • recognize considerations that pertain to defining KPIs for business intelligence-related data analysis
  • recognize Advanced Analytics as an effective tool for business intelligence-related data analysis
  • recognize practices to improve the business insights of reports
  • describe guidelines that help to overcome common challenges faced in business intelligence-related data analysis
  • summarize the key concepts covered in this course
  • Course Number:
    it_pmapdadj_01_enus

    Expertise Level
    Intermediate