Businesses cannot compete without data. Every organization produces and consumes it. Data trends are hitting the mainstream and businesses are adopting buzzwords such as Big Data, data vault, data scientist, etc., to seek solutions for their fundamental data issues. Few realize that the importance of any solution, regardless of platform or technology, relies on the data model supporting it. Data modeling is not an optional task for an organization’s data remediation effort. Instead, it is a vital activity that supports the solution driving your business.
This webinar will address emerging trends around data model application methodology, as well as trends around the practice of data modeling itself. We will discuss abstract models and entity frameworks, as well as the general shift from data modeling being segmented to becoming more integrated with business practices.
Takeaways:
Michael Lee
Data Consultant, Data Blueprint
James “Michael” Lee is a Data Consultant certified in a number of areas, including Data Vault 2.0 Practitioner, Kimball ETL Architecture and Certified Data Management Professional (CDMP). Mr. Lee has over 7 years of experience in designing data quality solutions, improving data management practices, implementing Data Governance frameworks, architecting data warehouses and providing technical guidance on various project teams for implementation of system upgrades and migrations. These skills assisted different organizations in several industries including: telecommunications, banking, insurance, government (defense) and commercial manufacturing and international shipping.
Peter Aiken
Founding Director, Data Blueprint
Peter Aiken, Ph.D., is widely acclaimed as one of the top ten data management authorities worldwide. As a practicing data consultant, author and researcher, he has been actively performing in and studying data management for more than 30 years. Throughout his career, he has held leadership positions and consulted with more than 50 organizations in 20 countries across numerous industries, including defense, banking, healthcare, telecommunications and manufacturing. He is a highly sought-after keynote speaker and author of multiple publications, including his latest books “Monetizing Data Management” and “Making the Case for the Chief Data Officer”. Peter is the Founding Director of Data Blueprint, a data management consulting firm that puts organizations on the right path to leverage data for competitive advantage and operational efficiency. He is also Associate Professor of Information Systems at Virginia Commonwealth University and past President of the International Data Management Association (DAMA).