Business Intelligence: Project Data Analysis

  • 13 Videos | 1h 17m 43s
  • Includes Assessment
  • Earns a Badge
  • Certification PMI PDU
Likes 19 Likes 19
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 36s
    UP NEXT
  • Playable
    2. 
    Analyzing Data for Business Intelligence
    6m 14s
  • Locked
    3. 
    Business Intelligence Tools
    8m 11s
  • Locked
    4. 
    Case for Business Intelligence
    5m 17s
  • Locked
    5. 
    Driving Business Intelligence
    7m 58s
  • Locked
    6. 
    Planning for Business Intelligence
    5m 3s
  • Locked
    7. 
    Framing a Data Strategy
    6m 28s
  • Locked
    8. 
    Forming the Best BI Team
    8m 16s
  • Locked
    9. 
    Defining the KPIs for BI
    4m 11s
  • Locked
    10. 
    Advanced Analytics for BI
    5m 12s
  • Locked
    11. 
    Telling Stories through Reports
    4m 38s
  • Locked
    12. 
    Guidelines for a Successful BI Project
    8m 2s
  • Locked
    13. 
    Course Summary
    1m 8s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

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