Webinar by Dama Ukraine Featuring Scott Taylor, the Data Whisperer

Introduction by Alexander Shukov

• Host: Alexander Shukov, President of Dama Ukraine
• Core Values of Dama Ukraine:
  • Promote data management
  • Advocate for data management across enterprises and industries
  • Teach and share powerful data management techniques
• Guest Speaker: Scott Taylor, the Data Whisperer

Presentation by Scott Taylor

• Experience & Background
  • Presented at 38 Dama chapters
  • Virtual world tour with Dama chapters
  • Company: Metametaconsulting
  • Background in iconic data brands: Neilsen, Dun & Bradstreet, WPP, Kantar
  • Full-time content creator for 5 years
  • Projects: Data puppets series, Data Ventures group
  • Recognized by Data IQ, Analytica, CDO Magazine
  • Focus on storytelling in data management
  • Book: Telling Your Data Story: Data Storytelling for Data Management

Key Themes

• Data is the New 'Why'
  • Critical nature of how we talk about data
  • Aim: Get stakeholder engagement and funding for data management
• AI and Data Complexity
  • Generative AI hype cycle adds complexity
  • Importance of clear communication about data's power and value
• Mission: New ways to talk about known data management concepts
  • Focus on the 'Why' rather than the 'How'

Data Management Philosophy

• Truth Before Meaning
  • Must determine truth in data before deriving meaning
  • Foundational activities: Data governance, stewardship, quality, Master data
  • Analytical activities: BI, Analytics, Data science, AI
• Two Types of Data Storytelling
  • About the data: Data management
  • With the data: Business intelligence
• Challenges in Data Management
  • Importance of standards and structure
  • Common issues like duplicate records and inconsistent data
• Golden Rule of Data: Good decisions made on bad data are just bad decisions you don’t know about yet

Framework for Data Storytelling: The 3 Vs

1. Vocabulary
   • Establish an accessible, common business-related vocabulary
   • Use a business glossary if one exists
2. Voice
   • Harmonize to a common voice across the organization
   • Engage other storytellers in sales, marketing, and communications
3. Vision
   • Align data management efforts with the strategic intentions of the enterprise
   • Listen to leadership and align data efforts with company goals

Practical Examples & Analogies

• Analogies like cooking (ingredients - data, meal - insights)
• Examples of bad data (e.g., 7-Eleven spelling variations)
• Identifying core data attributes: Code, Company, Category, Country
• Use cases across different industries

Q&A Highlights

• Engaging C-level Executives
  • Align data management issues with strategic business goals
  • Use practical examples and relatable analogies
• Frameworks like DAMA Wheel
  • Too complex for business leaders but essential for structured approaches
  • Emphasize standardized frameworks for data management

Closing Remarks

• Thanked the audience and encouraged following on LinkedIn and YouTube
• Highlighted the importance of storytelling in data management
• Encouraged sharing and feedback on data journeys