Auditing the Development of a Data Warehouse

1/24/01


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Table of Contents

Auditing the Development of a Data Warehouse

Topics

Advances in DBMS/data Warehousing

Current DBMS Environment

What Is a Data Warehouse ?

Some Definitions:

Some Definitions:

Major Differences Between a DBMS--an OS and a Data Warehouse--a Depository

Major Differences Between a DBMS--an OS and a Data Warehouse--a Depository

Three Principles of Data Warehouse:

PPT Slide

Data Warehouse Architectures

Data Warehouse Architectures

PPT Slide

Three-layer Architecture

On Line Analytical Processing (OLAP)

Datamart

Some More Definitions:

Some More Definitions:

Metadata Contains

What Are the Controls That You Need to Ensure for When Auditing Data Warehouse Development?

Auditing Criteria:

Project Planning Controls

Project Planning Controls (cont’d)

Is There a Corporate Policy Dealing With the Deployment of Data Warehouse?

Is the Project Sponsored by Senior Management?

Is the Project Sponsored by Senior Management?

Is the Data Warehouse Project Planned With Project Management Approach?

Has the Project Manager Worked With Senior Management to Identify the Scope of the Project to Include Data From All Appropriate Departments?

Has the PM Included Data Owners From All Departments Who Have Knowledge of Their Database Metadata?

System Architectural Controls

Two Vs Three Layer Design?

Flat File Design

Flat File Design

Identifying Indexing Fields

Scrubbing and Ensuring Data Integrity

Hardware Requirements

Hardware Requirements

Hardware Requirements (Cont’d)

Data Storage Concerns

Ensuring Data Cannot Be Edited

Datamart (OLAP) Requirements

Project Implementation Controls

Project Implementation Controls(cont’d)

Data Warehouse System Operational Controls

Data Warehouse System Operational Controls

Datamart Implementation Controls

Data on the Datamart Must Not Be Editable

Access to the Data Should Be Limited to Those Requiring the Data for Analysis

Users Should Have Control When Data Replication Takes Place

Disposition of Data After Use

Summary

Author: Derek E. Brink