Business Intelligence: Project Data Analysis
Intermediate
- 13 videos | 1h 12m 13s
- Includes Assessment
- Earns a Badge
- PMI PDU
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
-
1.Course Overview1m 36sUP NEXT
-
2.Analyzing Data for Business Intelligence6m 14s
-
3.Business Intelligence Tools8m 11s
-
4.Case for Business Intelligence5m 17s
-
5.Driving Business Intelligence7m 58s
-
6.Planning for Business Intelligence5m 3s
-
7.Framing a Data Strategy6m 28s
-
8.Forming the Best BI Team8m 16s
-
9.Defining the KPIs for BI4m 11s
-
10.Advanced Analytics for BI5m 12s
-
11.Telling Stories through Reports4m 38s
-
12.Guidelines for a Successful BI Project8m 2s
-
13.Course Summary1m 8s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
