October 14, 2014 This webinar has passed. The recording is available On Demand.
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
About the Webinar
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.
- How are anchor modeling, data vault, etc. different and when should I apply them?
- Integrating data models to business models and the value this creates
- Application development (Data first, code first, object first)
About the Speakers
Steven MacLauchlan, Data Consultant, Data Blueprint
Steven MacLauchlan is a data consultant with a background in software development in the healthcare industry. He is a Certified Data Management Professional, and has experience working with large international clients across many business functions. Past projects of Steven’s have included organizational data management assessments, data strategy development, ETL process development, reporting solutions, and much more. Steven holds a Bachelor’s in Computer Science from Virginia Commonwealth University.
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 book “Monetizing Data Management.” Peter is the Founding Director of Data Blueprint (www.datablueprint.com), a data management consulting firm that puts organizations on the right path to leverage data for competitive advantage and operational efficiency.