Presented by Chris Bradley

This educational session provides an overview of Data Architecture, Enterprise Architecture, and Lifecycle Management. Industry professional Chris Bradley will discuss types of architectures, including proactive planning around the data lifecycles from inception and acquisition through provisioning, exploitation, and destruction. The data value chain, differences between lifecycles and systems development, and alignment with business models are also important components of this discussion.

Presented by Donna Burbank

Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since Metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This live online session provides practical ways to manage Metadata in your organization using both technical architecture and business techniques.

Presented by Anthony J. Algmin

Data challenges are tough to solve even when times are good, and our people are all in the same room. It’s no easier to do when times are tough. But the stakes are higher, as are the consequences. For any organization to be successful in today’s data-driven world, the use of data must lead to meaningful and measurable improvements in business outcomes.

Businesses need to use everything they’ve got to become successful, and data is one thing we all seem to have in abundance. Having strong Data Architecture helps us make the most of our data. This webinar outlines the ways Data Architecture can complement Data Governance, whether on-premises or off.

Presented by George Yuhasz

Join George Yuhasz, the VP Head of Enterprise Data at NewRez, as he discusses what’s happening in the world of Data Architecture now and into the future. In this keynote, George will utilize his vast experience and expertise from a career of creating and implementing Data Management initiatives to review:

Presented by April Reeve

Moving data between systems and integrating data across the organization has remained one of the primary Data Management challenges over the last two decades, now being greatly exacerbated by the challenges of between and across cloud technology. This presentation will review new technologies and techniques for managing data roaming through the organization and in the cloud.

Presented by Ronald G. Ross

What messes up your data so badly? Why is data pollution so common? Are business users and data professionals spending way too much time chasing phantoms around in your data?

Poor models make data corruption inevitable. It’s time to rethink old habits and pursue approaches better suited for the knowledge economy. The solution is concept models, which base their structure on language and communication. This presentation surveys the three fundamental techniques of concept models: classification, categorization, and verb concepts. It shows you how to capture the business meaning of data by creating a structured business vocabulary and common business language.

Whether your concern is Data Quality or consolidation, better data design, eliminating silos, preparing for Artificial Intelligence (AI) and Machine Learning (ML) for text, or simply communicating business knowledge more effectively, you need to know how to create a concept model. This presentation shows you how.

Based on Ron’s newly released book: Business Knowledge Blueprints: Enabling Your Data to Speak the Language of the Business