Overview

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The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presented in a case study, you’ll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence platform to create dashboards and visualizations. In the first part of the capstone course, you’ll be introduced to a medium-sized firm, learning about their data warehouse and business intelligence requirements and existing data sources. You’ll first architect a warehouse schema and dimensional model for a small data warehouse. You’ll then create data integration workflows using Pentaho Data Integration to refresh your data warehouse. Next, you’ll write SQL statements for analytical query requirements and create materialized views to support summary data management. For data integration workflows and analytical queries, you can use either Oracle or PostgreSQL. Finally, you will use MicroStrategy OLAP capabilities to gain insights into your data warehouse. In the completed project, you’ll have built a small data warehouse containing a schema design, data integration workflows, analytical queries, materialized views, dashboards and visualizations that you’ll be proud to show to your current and prospective employers.

Syllabus

Course Overview

Module 1 introduces the objectives and topics in the course and provides background on the case and software requirements. The capstone course is organized around a realistic case study based on the business situation faced by CPI Card Group in 2015.

Data Warehouse Design

Module 2 presents the requirements of the first part of the case study involving data warehouse design. To provide a context for the case study, you can listen to an executive interview with a CPI Card Group executive.

Data Integration

Module 3 presents requirements for the second part of the case study involving data integration. To provide a context for the case study, you can listen to executive interviews with executives from CPI Card Group, First Bank, and Pinnacol Assurance.

Analytical Queries and Summary Data Management

Module 4 presents requirements for the third part of the case study involving analytical queries and summary data management.

Data Visualization and Dashboard Design Requirements

This module continues on the top job responsibilities of BI analysts by focusing on creating data visualizations and dashboards. You will first learn the importance of data visualization and different types of data that can be visually represented. You will then learn about the types of basic and composite charts. This will help you to determine which visualization is most effective to display data for a given data set and to identify best practices for designing data visualizations. In lesson 3, you will learn the common characteristics of a dashboard, the types of dashboards, and the list of attributes of metrics usually included in dashboards. Finally, in lesson 3, you will learn the guidelines for designing a dashboard and the common pitfalls of dashboard design. You will need to use MicroStrategy Desktop Visual Insight to design a dashboard for a Financial Services company in a peer-evaluated exercise.

Wrap Up and Project Submission

This is an extension of Module 5. The peer assessment from module 5 is moved to module 6 to give you more time completing the assignments in prior modules as well as for you to do your peer assessment in this module.