IST722 Data Warehousing Master Data Management and Data Governance Michael A. Fudge, Jr.

Slides:



Advertisements
Similar presentations
Lawson Healthcare Solutions Optimization of Key Resources Forms a Foundation for Excellent Patient Care.
Advertisements

Data and Knowledge Management
Chapter 1 Overview of Databases and Transaction Processing.
C6 Databases.
February 11, 2010 | Presenter. Agenda Your questions and issues Introduction to MDS Demo.
Chapter 5 Database Processing.
Database – Part 3 Dr. V.T. Raja Oregon State University External References/Sources: Data Warehousing – Mr. Sakthi Angappamudali.
Multidimensional Database Structure
Overview of Databases and Transaction Processing Chapter 1.
Chapter 3 Database Management
Database – Part 2b Dr. V.T. Raja Oregon State University External References/Sources: Data Warehousing – Sakthi Angappamudali at Standard Insurance; BI.
Organizing Data & Information
2006/12/191 Using E-CRM for a unified view of the customer COMMUNICATIONS OF THE ACM, April 2003, Vol.46 No.4 Shan L. Pan & Jae-Nam Lee Reporter: Shing-Jiun.
IST722 Data Warehousing An Introduction to Data Warehousing Michael A. Fudge, Jr.
Information Technology in Organizations
1 Introduction Introduction to database systems Database Management Systems (DBMS) Type of Databases Database Design Database Design Considerations.
Master Data Management
Components of the Data Warehouse Michael A. Fudge, Jr.
ETL Design and Development Michael A. Fudge, Jr.
Data Conversion to a Data warehouse Presented By Sanjay Gunasekaran.
Introducing ETL: Components & Architecture Michael A. Fudge, Jr.
Copyright Statement Copyright Mini Kanwal This work is the intellectual property of the author. Permission is granted for this material to be shared.
Sayed Ahmed Logical Design of a Data Warehouse.  Free Training and Educational Services  Training and Education in Bangla: Training and Education in.
5.1 © 2007 by Prentice Hall 5 Chapter Foundations of Business Intelligence: Databases and Information Management.
IST722 Data Warehousing Business Intelligence Development with SQL Server Analysis Services and Excel 2013 Michael A. Fudge, Jr.
CHAPTER 5 Data and Knowledge Management. CHAPTER OUTLINE 5.1 Managing Data 5.2 Big Data 5.3 The Database Approach 5.4 Database Management Systems 5.5.
1 INTRODUCTION TO DATABASE MANAGEMENT SYSTEM L E C T U R E
Chapter 6: Foundations of Business Intelligence - Databases and Information Management Dr. Andrew P. Ciganek, Ph.D.
2005 SPRING CSMUIntroduction to Information Management1 Organizing Data John Sum Institute of Technology Management National Chung Hsing University.
Organizing Data and Information AD660 – Databases, Security, and Web Technologies Marcus Goncalves Spring 2013.
CHAPTER 8: MANAGING DATA RESOURCES. File Organization Terms Field: group of characters that represent something Record: group of related fields File:
7.1 Managing Data Resources Chapter 7 Essentials of Management Information Systems, 6e Chapter 7 Managing Data Resources © 2005 by Prentice Hall.
Pierre-Louis Usselmann, Ben Watt SOGETI Switzerland Master Data Services.
Agenda 03/27/2014 Review first test. Discuss internal data project. Review characteristics of data quality. Types of data. Data quality. Data governance.
© 2008 IBM Corporation ® IBM Cognos Business Viewpoint Miguel Garcia - Solutions Architect.
IST 210: ORGANIZATION OF DATA Chapter 1. Getting Started IST210 1.
A Strategic Business Imperative Cypress Management Group Corporation Victor Brown Managing Partner 10/19/20151Managing Master Data © 2009 CMGC.
1.file. 2.database. 3.entity. 4.record. 5.attribute. When working with a database, a group of related fields comprises a(n)…
1 Reviewing Data Warehouse Basics. Lessons 1.Reviewing Data Warehouse Basics 2.Defining the Business and Logical Models 3.Creating the Dimensional Model.
Database Design and Management CPTG /23/2015Chapter 12 of 38 Functions of a Database Store data Store data School: student records, class schedules,
C6 Databases. 2 Traditional file environment Data Redundancy and Inconsistency: –Data redundancy: The presence of duplicate data in multiple data files.
1 Relational Databases and SQL. Learning Objectives Understand techniques to model complex accounting phenomena in an E-R diagram Develop E-R diagrams.
5-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
Principles of Information Systems, Sixth Edition Organizing Data and Information Chapter 5.
FleetBoston Financial HIPAA Privacy Compliance Agnes Bundy Scanlan Managing Director and Chief Privacy Officer FleetBoston Financial.
6.1 © 2010 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management.
1 Introduction to Oracle Chapter 1. 2 Before Databases Information was kept in files: Each field describes one piece of information about student Fields.
Chapter 5 Uma Gupta Introduction to Information Systems  2000 by Prentice Hall. 5-1 Database Design and Management.
Seminar 2 – Part 1 Managing Data to Improve Business Performance Ref: Chapter 3 of Turban and Volonino.
Managing Data Resources. File Organization Terms and Concepts Bit: Smallest unit of data; binary digit (0,1) Byte: Group of bits that represents a single.
Master Data Management & Microsoft Master Data Services Presented By: Jeff Prom Data Architect MCTS - Business Intelligence (2008), Admin (2008), Developer.
Department of Industrial Engineering Sharif University of Technology Session# 9.
An Analysis of the Publication "An Overview of Data Warehousing and OLAP Technology” by Surajit Chaudhuri, Umeshwar Dayal Michael Goshey University of.
Chapter 1 Overview of Databases and Transactions.
HUMAN RESOURCE MODULE. Sub systems under HR module Human resource management is an essential factor of any successful business. The various subsystems.
CHAPTER 5 Data and Knowledge Management. CHAPTER OUTLINE 5.1 Managing Data 5.2 The Database Approach 5.3 Database Management Systems 5.4 Data Warehouses.
Chapter 13.3: Databases Invitation to Computer Science, Java Version, Second Edition.
Global E-Business: How Businesses Use Information Systems.
Chapter 1. Getting Started IST 210: Organization of Data IST2101.
Mastering Master Data Services Presented By: Jeff Prom BI Data Architect Bridgepoint Education MCTS - Business Intelligence, Admin, Developer.
Overview of MDM Site Hub
IST722 Data Warehousing Master Data Management and Data Governance
What is an attribute? How is it related to an entity?
SSIS Demo Michael A. Fudge, Jr.
Overview of Databases and Transaction Processing
CHAPTER SIX OVERVIEW SECTION 6.1 – DATABASE FUNDAMENTALS
Metadata The metadata contains
DATABASE TECHNOLOGIES
Technical Architecture
Presentation transcript:

IST722 Data Warehousing Master Data Management and Data Governance Michael A. Fudge, Jr.

Two sides of the same coin… MDM DG

What is Master Data Management? Creating a single “Reference Copy” of key business entities. Examples: Customers, Vendors, Products, Employees Offers an organization a single version of what “Customer” means. Helps reduce inconsistencies in data distributed throughout the enterprise. Aims to provide clean, reliable data. MDM Systems can provide automated rules and utilities to maintain “golden records” for business entities.

What is Data Governance? A committee or person acting as the administrator for the data. Decides what is and is not master data. Care for the data and certifies its accuracy. Builds relationships and hierarchies among the data not found in existing systems. Decides on “rules” for the population of MDM golden records.

Some Problems Can Only Be Solved With… Master Data Management 1.Unifying disparate sources of the same data. 2.Cleaning up dirty data. 3.Establish data hierarchies and relationships not found in source systems. 4.Complete weighing factors in M-M dimensions. Data Governance 1.Which components from each source are the authority? 2.How should the data be cleaned? 3.What are the rules we use to establish these hierarchies / relationships? 4.What formula / criteria should be used for weighing factors?

Example: “Students” Applicants become Students. When? How? Students become Alumni. When? How? Students have Campus and Home addresses. Which one do I use? Student goes through legal name change. Where do I change it? Some Students are Alumni. Some Applicants are Students. How do you deal with the complexity of who is and is not a student? And when are and when are they not a student? Who makes these decisions? Where is the authoritative source for this data?

How does this relate to data warehousing? MDM and DG initiatives will help us create conformed dimensions in our data warehouse, specifically when the dimensional data is sourced from multiple systems. OLTP 1 OLTP 3 OLTP 2 Dimension OLTP 1 OLTP 3 OLTP 2 Dimension MDM Who decides which OLTP the dimension row comes from?

IBM MDM in Action:

Group Activity: DreamSpark Downloads Our Goal: Track DreamSpark downloads back to the course which requires it. The Challenge – The download is associated with 1 student, but 1 student enrolls in many courses. How can MDM and DG Solve this Problem? Outline a strategy. Download SQL Svr. Student Bob Course IST722 IST522 Enrollment Bob IST722 Bob IST552 M … 1 1 … M M … 1 Which course gets credit for this download?

IST722 Data Warehousing Master Data Management and Data Governance Michael A. Fudge, Jr.