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MIS 451 Building Business Intelligence Systems

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Presentation on theme: "MIS 451 Building Business Intelligence Systems"— Presentation transcript:

1 MIS 451 Building Business Intelligence Systems
Project Planning and Requirements Analysis

2 Agenda Data Warehouse Development Lifecycle Project Planning
Requirements Analysis

3 Data Warehouse Development Lifecycle
Data Warehouse – Enterprise Data Warehouse Data Mart – Departmental Data Warehouse

4 Data Warehouse Development Lifecycle
Project Planning Requirements Analysis Logical Design Physical Design Data Staging Data Analysis (OLAP)

5 Data Warehouse Development Lifecycle
Logical Design (Tool: Oracle Data Mart Designer) ER Modeling  Dimensional Modeling Design appropriate table structure and primary key/Foreign key relationship

6 Data Warehouse Development Lifecycle
Physical Design Database selection Storage selection Web based? Performance

7 Data Warehouse Development Lifecycle
Data Staging (Tool: Oracle Data Mart Builder) Extraction Cleansing and Transformation Transportation

8 Data Warehouse Development Lifecycle
Extraction Transformation Transportation

9 Data Warehouse Development Lifecycle
Data Analysis (OLAP) (Tool: Oracle Data Mart Discoverer) Reporting Ad-hoc query Graphical Analysis

10 Data Warehouse Development Lifecycle
Analytical Report

11 Data Warehouse Development Lifecycle
Drill-up&Drill-down Query

12 Data Warehouse Development Lifecycle
Graphical Analysis

13 Project Planning Project Planning Requirements Analysis Logical Design
Physical Design Data Staging Data Analysis (OLAP)

14 Project Planning Feasibility Study – Assess readiness for your data warehouse project Define the scope of your data warehouse project Develop the project plan

15 Project Planning – Feasibility Study
Factors that establish the foundation for a successful Data Warehouse project Strong Management Support Compelling business motivation – e.g., customer-centric companies, acquisition IS/Business partnership

16 Project Planning – DW Scope
Provide a single data source to support decision making Include at lease n years of historical data Support at least n concurrent users Provide better decision support information using less time

17 Project Planning – Project Plan
DW Team Staff Project Manager Business System Analyst Data Modeler DBA Data Staging System Developer End User Application Developer Time & Milestones Budget

18 Requirements Analysis
Project Planning Requirements Analysis Logical Design Physical Design Data Staging Data Analysis (OLAP)

19 Requirements Analysis
Pre-Interview Research Identify Interviewees Business Executive Business Unit Manager Key Staff Ask Relevant Questions e.g., what analysis do you currently do? what analysis do you plan to do? How much historical information do you need?

20 Requirements Analysis
Summarize interview with interviewees Write interview report Analytical Requirements Information Requirements


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