DW 101 – Data Warehousing 101 – Business Professionals

Duration: 2 -3 days

This course is presented in a straightforward, non-technical manner. It assumes that attendees have no prior knowledge of decision support concepts or data warehouse/data mart implementations. The content is founded on the practical experiences of real-world implementations of data warehouse and data mart projects.

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Description

Data Warehousing 101 is a comprehensive overview of data warehousing, data marts, decision support architecture, and their utilization in attaining business objectives. The purpose of this course is to take attendees with little to no background in data warehousing to a functional understanding of business objectives tied to ROI, project management, architecture, critical success factors, risk factors, design, process, and tools.

This seminar provides the critical prerequisites for successful, profitable, and extendable data warehouse and data mart implementations. It lays the groundwork and provides the fundamentals required to leverage your company’s investment in an enterprise or department-level decision support system.

Objectives

Evaluate fundamental concepts of data warehousing architecture, including data marts, operational data stores, and metadata management to support enterprise decision-making
Apply data warehouse project management principles to assess ROI, risks, and critical success factors for successful implementation
Select appropriate business intelligence tools and technologies (ETL, OLAP, portals) based on organizational requirements and industry trends
Develop implementation strategies that align data warehouse initiatives with business objectives while managing common technical and organizational challenges

Seminar Content

Understanding business intelligence
- Analyze the current state of the data warehousing industry
- Data warehousing fundamentals
- Defining metadata and its critical role in data warehousing
- CDO objectives
Challenges in the data warehouse industry
- Selling the concept of building a data warehouse to management
- Data warehouse ROI definition
- Cutting through the vendor hype
Understanding the key business intelligence vendors
- Understanding data warehousing tools, including ETL (extract, transform, & load), OLAP (online analytical processing), and portals
Data Literacy’s Emerging Role in Business Intelligence
6 Types of Advanced Analytics
- Prescriptive
- Diagnostic
- Descriptive
- Predictive
- Cognitive
- Automated
Understand the trends in business intelligence
- Data warehousing changing landscape
Data warehouse project management overview
- Goals and objectives
- Critical success factors
- Business problems in data warehousing
- Measuring results
- Risks, issues, challenges in data warehouse project management
- Selecting the first data warehouse project
Workshop Exercises
- This course is interactive and has the learners participate in several workshop exercises

About the Course Designer

This training was designed by David Marco, PhD, an internationally recognized authority on data and AI governance, to help teams succeed in real organizational conditions. The curriculum equips participants with practical judgment, shared language, and decision clarity that hold under scale, risk, and executive accountability.

DW 101 – Data Warehousing 101 – Business Professionals

Free Consultation

Description

Objectives

Seminar Content

About the Course Designer

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