BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260516T205522Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022west.data
 versity.net/sessionPop.cfm?confid=148&proposalid=13760\nWhile everyone univ
 ersally supports the idea of having high-quality data, management often fai
 ls to implement robust data quality improvement processes and programs. Thi
 s is usually because no one can develop a convincing business case to show 
 the benefits will outweigh the cost of implementation. Making a good busine
 ss case is an essential skill for data quality and data governance professi
 onals. This tutorial will show participants where to find business value fr
 om data quality, how to develop a business case, and tips on what, and what
  not, to include. It will include some hands-on review and discussion of re
 al-world case studies. In addition, it will discuss how data quality proces
 ses and programs can be implemented as part of a data governance program, a
 nd some of the different approaches that organizations are taking to formul
 ate data governance standards for data quality. This will include leveragin
 g existing data quality management standards such as the ISO 8000 Part 61 D
 ata Quality Management Reference Model discussed in more detail in the morn
 ing tutorial on Roadmap to Data Quality.\n\n
 The definition of data quality\n
 Where to find opportunities to generate business value through data quality
  improvement\n	How to make a business case (ROI) for data quality\n
 Taguchi’s loss function and long tail of data quality problems\n
 Two fundamental approaches to formulating data quality standards for data g
 overnance\n\n*Hands-on Exercises\n
DTSTART:20220606T133000
SUMMARY:T11: Making the Business Case for Data Quality
DTEND:20220606T164459
LOCATION: See Description
END:VEVENT
END:VCALENDAR