Student
Business Intelligence Project Management 101
Managing BI Projects within the PMI Process Groups
Too many times, Business Intelligence (BI) and Data Warehousing project managers are ill-equipped to handle their role in guiding a project to success. Often, the person slated to lead a project is either: 1) a technician who doesn’t know the first thing about managing a project, or 2) a project manger who doesn’t know the first thing about BI.
This paper introduces Business Intelligence to the pure project manager and introduces project management concepts to the BI practitioner in the context of an example project.
About Analytics8
Analytics8 is a business intelligence (BI) and data warehousing enablement and optimization consulting firm. Though we are experts with many tools and technologies, we never lose sight of the business reasons for implementing technology. Let us show you how to make the most of your data.
A BI Primer
Before getting started, we need to make sure we understand BI at a high level.
Making the most of an organization’s data assets is the purpose of BI. Companies can gain a competitive advantage like increasing revenue, reducing costs, or reducing risks by making better data-driven decisions through a well-built BI system.
The diverse business applications of a BI system can be critically important to an organization.
For example:
–– Customer Profitability: 20% of your customers make up 80% of your profit. Which customers are they? Which customers cost more money than their worth? A major Telco company let go of many customers after they conducted such analysis by building a profitability data mart. –– Increase Sales: A major automotive company had difficulty reporting on part sales because there were multiple channels with different data sources. Once they built a BI system, they were able to see which parts were selling and where. With that knowledge they created
(and tracked) marketing programs and competitive
Managing BI Projects within the PMI Process Groups
Too many times, Business Intelligence (BI) and Data Warehousing project managers are ill-equipped to handle their role in guiding a project to success. Often, the person slated to lead a project is either: 1) a technician who doesn’t know the first thing about managing a project, or 2) a project manger who doesn’t know the first thing about BI.
This paper introduces Business Intelligence to the pure project manager and introduces project management concepts to the BI practitioner in the context of an example project.
About Analytics8
Analytics8 is a business intelligence (BI) and data warehousing enablement and optimization consulting firm. Though we are experts with many tools and technologies, we never lose sight of the business reasons for implementing technology. Let us show you how to make the most of your data.
A BI Primer
Before getting started, we need to make sure we understand BI at a high level.
Making the most of an organization’s data assets is the purpose of BI. Companies can gain a competitive advantage like increasing revenue, reducing costs, or reducing risks by making better data-driven decisions through a well-built BI system.
The diverse business applications of a BI system can be critically important to an organization.
For example:
–– Customer Profitability: 20% of your customers make up 80% of your profit. Which customers are they? Which customers cost more money than their worth? A major Telco company let go of many customers after they conducted such analysis by building a profitability data mart. –– Increase Sales: A major automotive company had difficulty reporting on part sales because there were multiple channels with different data sources. Once they built a BI system, they were able to see which parts were selling and where. With that knowledge they created
(and tracked) marketing programs and competitive