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DTSTAMP:20260421T231250Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024west.data
 versity.net/sessionPop.cfm?confid=160&proposalid=15149\nHow can a Data Lead
 er a) convincingly demonstrate the business value of data, b) align data cu
 lture transformation and data acumen efforts with business goals, and c) cl
 early define success and incent the right behaviors? These are fundamental 
 challenges and opportunities most Data Leaders struggle with routinely.\n\n
 Participants in this tutorial will learn how to define effective metrics th
 at are rooted in vision and strategy and that balance four essential compon
 ents of effective performance:&nbsp;financial, customer focus, internal bus
 iness processes, and learning and growth.&nbsp;\n\nThe resulting balanced s
 corecard provides Data Leaders with a powerful method to monitor progress, 
 achieve their goals, and deliver tangible results.&nbsp;Whether focusing on
  data governance/data enablement, data literacy/data acumen, data-driven de
 cision-making, or any other components of data culture, well-defined KPIs d
 eliver actionable insights about the most important features of the data cu
 lture transformation effort, motivate the desired behaviors, and suggest&nb
 sp;the adjustments needed to improve results.\n\nThis tutorial will be bene
 ficial to those seeking to enhance the value and effectiveness of their dat
 a culture transformation and data acumen program.&nbsp;Because it is very i
 nteractive and hands-on, participants will leave equipped with an initial s
 et of metrics and armed with a robust technique to develop or polish their 
 existing metrics and turn their aspirations into effective action.\n\nTopic
 s include:\n\n	Identifying the vital few metrics\n
 Connecting metrics to organizational goals and business strategy\n
 Linking metrics to specific internal services, processes, and activities\n
 Establishing the right accountabilities\n
 Metrics as the foundation for improvement\n
 How to avoid the most common measurement pitfalls\n
 A checklist for metrics quality\n\n
DTSTART:20240606T083000
SUMMARY:W1: Defining Effective and Balanced Metrics for Data Culture and Da
 ta Acumen
DTEND:20240606T155959
LOCATION: See Description
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