:: PiLog - ISO 8000 Training and Certification ::

PiLog - ISO 8000 Training and Certification

Data and information quality are now widely recognized problems in companies large and small from manufacturing and processing through finance and health care. Incomplete or duplicate records, poor quality descriptions and inaccurate information cause inefficient allocation and use of resources and are a drag on operations and profitability adding up to 20% to direct and indirect costs alike. Poor quality data is a barrier to effective marketing and the leading cause of transparency issues that drive up the cost of regulatory compliance .

Data Quality Training

These courses provide expertise and information needed to master the quality of any project or organization. Anybody who works with data will benefit from these courses. Implementing data quality can help workers to increase productivity, improve sales and customer satisfaction, and reduce costs. Measurable improvements in both individual and corporate performance should result from mastery of this material.

These courses are offered both open (anybody can register) and closed (a group from one company and possibly its suppliers and customers). Courses are offered at the beginner, intermediate and advanced levels. PiLog ® can also provide custom courses tailored to individual needs.

Data Quality Training Based on ISO 8000

	Courses	Duration	Contact	Register
DQ101	Beginner	1 day	contact us
DQ201	Intermediate	1 day	contact us
DQ301	Advanced	1 day	contact us

DQ 101 Introduction to Data Quality

This is the basic data quality course and should be the first course taken. Upon completion, students will be able to apply for an ECCMA ISO 8000 Master Data Quality Manager certificate.

Course objectives:	Recognize what is and is not data Understand the difference between data and information Identify the structure of data Become familiar with the key component of data, the property value pair Understand the importance of standards in data quality, and what the key standards are, and how they can help Learn the basics of how to specify precisely what data you need and request it from a trading partner Discover the basics of how to provide a trading partner with the precise data they need Gain insight into the basics of how to manage quality data within systems such as spreadsheets, databases, and files
Target audience:	General employees Consultants
Prerequisite:		None
Teaching Method:		Web-based Instructor-led training available—please contact us for details
Duration:		Self-paced—approximately 6 hours of training materials + estimated 2 hours for assignment

DQ 201 Intermediate Data Quality

This is the second course in the basic data quality sequence. Students will get a more in-depth look at topics introduced in DQ 101.

Intermediate
Course objectives:	Understand the grammar of data (syntax) and how to specify it Learn the different types of item identifiers and how to collect and manage them Find out how to make data language-independent (semantic encoding) Take an in-depth look at data requirement statements Learn how to conduct data quality evaluations
Target audience:	Data architects Data stewards Data quality managers Project managers Anybody who relies heavily on data in their work
Prerequisite:		DQ 101 or equivalent experience
Teaching Method:		Instructor-led
Duration:		1 day

DQ 301 Advanced Data Quality

This is the third course in the basic data quality sequence. Students will get a more in-depth look at topics introduced in DQ 201.

Advanced
Course objectives:	Become more familiar with advanced datatypes Learn how to specify the conditions under which a property was measured or is valid using a data environment Learn the basics of managing a data cleansing project Gain an understanding of the basics of data governance Find out the importance of data “provenance” (history and source of data) and how to collect and maintain such information
Target audience:	Data architects Data stewards Data quality managers Data project managers Data “power users”
Prerequisites:		DQ 201 or equivalent experience
Teaching Method:		Instructor-led
Duration:		1 day