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Data Quality & Governance 2011 : Workshop On Data Quality & Governance For A Competitve Enterprise

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Link: http://www.globalstf.org/docs/edm/dataQty/cfp.html
 
When Feb 21, 2011 - Feb 23, 2011
Where Singapore
Submission Deadline TBD
Categories    data management   data quality   data governance   information management
 

Call For Papers

WORKSHOP ON DATA QUALITY & GOVERNANCE FOR A COMPETITIVE ENTERPRISE
(Become a Certified Information Quality Associate - CIQA)

Date of Workshop: 21-23 February 2011
Venue: Mandarin Orchard Hotel, Singapore

This Executive Seminar will be delivered by Prof. Andy Koronios:
Head, School of Computer & Information Science, Division of Information Technology,
Engineerng & Environment, University of South Australia

Andy has extensive experience in both commercial and academic environments and has research interests in electronic commerce, information quality, computer security, and the management and strategic exploitation of information.

Learn from the experts how to use Information Management and Data Quality principles to create better information,
make more effective decisions, reduce costs and create sustainable competitive advantage.


You should not miss this event!


Information Management & Data Quality is one of the most important issues confronting modern organizations today. We collect an even increasing amount of information but are we really getting the information that we want?

“Modern enterprises are drowning in data and starving of information”


This executive seminar will assist you


Understand the basic concepts of information management and data quality and will provide you with a blueprint to ensure that your organization is able to take advantage of the significant information resources available and to ensure that you can create competitive advantage through information asymmetry.

This executive seminar will provide you with the knowledge and skills to better understand DQ and to adopt the correct techniques and practices in creating competitive advantage through higher quality of data.


Who should attend

• Senior Executives
• CIOs
• DBAs and other data custodians
• Those who manage financial and other resources
• Those involved in information management and/or data quality initiatives
• People who analyse data
• Others interested in using information effectively


[ Day 1 Topics ]

1.1 Introduction to high value data

- Data as a unique enterprise asset
- Characteristics attributes and types of Data with the enterprise
- The data–information–knowledge hierarchy
- The data & Information life cycle
- Data and Information Management Concepts
- Cases on the impact Data in organizations in deriving competitive advantage


1.2 The Information Quality Landscape

- Introduction to Information Management
- Why is Data Quality important
- Definition of Data & Information Quality
- Dimensions of Data Quality
- Cases of the impact of suboptimal Data Quality

1.3 Measuring Data Quality

- Characteristics of data (Introduction)
- Metrics for Data Quality
- Measuring Data Quality
- Measuring the Data Quality maturity of the enterprise
- Overview of current Data Quality techniques

1.4 Data Quality & Management Improvement Approaches

- Identifying the informational needs of the enterprise
- Steps and guidelines for the improvement of Data Quality
- Using risk management to assist in informed decision making
- Techniques (Plan-Do-Check, Cause & Effect Diagrams etc)
- Cases of the impact of suboptimal Data Quality

1.5 Implementing Information Management Initiatives

- The Data Management improvement cycle
- Guidelines for effective Information Management
- Data Quality tools
- Meta-data management

1.6 Case Analysis

1.7 Review of Certification content


[ Day 2 Topics ]

2.1 Types of Data

- Structured data
- Semi structured data
- Unstructured data

2.2 Understand characteristics of data by adopting theories

- Information as a product
- TQM
- Kaizen
- Business Excellence

2.3 Information Quality in Context

- The Information Production Systems and the Data Life Cycle
- Influences on Data Quality
- Classes of DQ Problems

2.4 Causes of Data Errors and Sources of Data Errors

- Operational Systems
- Points of integration
- Data warehouse
- Users' needs

2.5 Data Governance

- Policy, standards, strategy
- Data Quality
- Privacy/compliance/Security
- Architecture / Integration
- Standards in data quality & governance

2.6 Data Quality Metrics

- Data Quality Assessment Overview
- Performing data quality audits

2.7 Cases Analysis

2.8 Performing data quality audits


[ Day 3 Topics ]

3.1 DQ Assessment

3.2 Tools of Data Quality

- Root Cause Identification
- Severity of the DQ problem
- Obstacles in assessing Data Quality

3.4 Revision of certification body knowledge

3.5 Certification Assessment

- Data Profiling
- Data Cleansing
- Metadata management
- Business Intelligence and Analytics
- Improving Data Governance

3.3 Measuring Capability Maturity in DQ


[ Important Dates ]

Early Bird Registration Due
31 January 2011

Registration Fee
$1,800

Late Registration Due
1 February 2011

Registration Fee
$2,400

Examination & Certification
Additional $150

Workshop Dates
21-23 February 2011


[ Workshop Secretariats Contacts ]

Alvin Lee
Email: alvin@globalstf.org
Tel: 6327 0163


[ Organized By ]

Global Science & Technology Forum (GSTF) |
Email: info@globalstf.org | Tel: (65)-6327-0161 / 63
10 Anson Road, International Plaza, Singapore 079903

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