Drowning in Data, Starving for Wisdom: Tools Addressing the Human Element of Data Modeling
Len Silverston, Universal Data Models
What is “wisdom”? Wisdom is the ability to accurately interpret what is happening and take the appropriate actions that are in the best interest of you, your team, and your organization. We are in the midst of a data revolution.
How do we apply real wisdom in our data modeling profession?
This fun, interactive, informative, and practical presentation will discuss how we can apply wisdom to data modeling as it applies to both traditional as well as emerging data management disciplines. For example, how can we be efficient and effective in data modeling in our traditional data management efforts such as data strategies, data governance, master data management, data modeling, and ensure that we do the same for these newer disciplines including big data, internet of things, cognitive computing, and artificial intelligence.
We will focus on something that is often missed and yet so critically important in these efforts – applying wisdom using specific, practical, and human behavioral tools. The presentation will cover:
- Important questions to consider regarding data modeling in both traditional and emerging data management disciplines
- Human factors that are important to address in data modeling such as underlying purpose, motivations, trust, communications and conflict managements.
- Powerful techniques and tools that we can use to apply wisdom in data modeling
- How to collaborate effectively with our modeling in an increasingly complex world
Len Silverston is a best-selling author, consultant, and a fun and top rated speaker in the field of data modeling, data governance, as well as human behavior in the data management industry, where he has pioneered new approaches to effectively tackle enterprise data management. He has helped many of the largest organizations world-wide as well as small organizations, to integrate their data, systems and even their people. He is well known for his work on “Universal Data Models”, that are described in his The Data Model Resource Book series (Volumes 1, 2, and 3), (Volume 1 was rated #12 on the Computer Literacy Best Seller List) and these books have been translated into multiple languages. He is the winner of the DAMA (Data Administration Management Association) International Professional Achievement Award for 2004 and the DAMA International Community Award for 2006. He has received the highest speaker ratings at many international conferences and is dedicated to being of the greatest service to his audiences.