Ten Steps to Data Quality

Simply put, information quality is providing the correct set of accurate information, at the correct time and place, to the correct people. However, ensuring quality information is far from simple.

Those attending this course learn a practical approach to improving and creating the quality of data and information critical to their organization, satisfying customers, and achieving company goals.

Both foundational Data Quality concepts and practical instruction are included. Attendees should come prepared to participate as discussion and individual and group exercises are an integral part of the course, along with lecture and presentation.

Attendees will receive course materials, templates, and handouts for future reference. They have the opportunity to apply what they have learned in the course to a situation relevant to their organization.

What you will learn
State their current Data Quality challenges and objectives
Understand concepts fundamental to Data Quality Management, such as the Framework for Information Quality, Data Quality dimensions, Business impact techniques, root cause analysis techniques etc.
Choose the appropriate steps/activities from the Ten Steps process to address their Business needs
Obtain templates and examples to apply to their own situations

Main Topics
The Framework for Information Quality
The Information Life Cycle
The Ten Step™ process
Analyzing the information environment
Assessing Data Quality and Business impact
Conducting root cause analysis
Implementing controls
Essential communication to meet information quality needs
Real-life application of the framework and methodology

When is Ten Steps to Data Quality?

The next dates haven't been confirmed. The last edition we have on record was 3–5 Jun 2013.

Where is it held?

The last edition we have was at Residenza di Ripetta, Rome, Italy.