Mark Allen has over 25 years of data management and project management experience including extensive planning, deployment, and management experience with master data and data governance.
Mark is co-author of two books: Master Data Management in Practice, Achieving True Customer MDM (2011) and, most recently, Multi-Domain Master Data Management, Advanced MDM and Data Governance in Practice (2015).
Mark manages the Enterprise Data Governance program at Anthem/WellPoint Inc. Prior to Anthem, Mark was a senior program manager in customer operations groups at both Sun Microsystems and Oracle Corporation. At Sun Microsystems, Mark served as the manager and lead data steward throughout the planning and implementation of Sun’s enterprise customer data hub.
Throughout his career Mark has championed and implemented many data management programs establishing data governance, data quality management, data stewardship, and change management practices. Mark has been a speaker at Data Governance and Information Quality conferences, and has served on various customer advisory boards focused on sharing and enhancing MDM and data governance practices.
DQPVS 1: Master Data Management: Defining MDM Maturity with a Continuous Improvement Approach
Common to any MDM strategy is the need to transition master data from an insufficiently managed state to a highly managed and controlled state necessary to achieve MDM goals. Achieving MDM goals requires a well orchestrated plan and set of key milestones spanning various disciplines, practices, capabilities, and improvement areas. Capturing the essence of this as a high level, measurable program strategy is what a maturity model is for and why continuous improvement needs to be a key focus throughout the maturity process.
This presentation covers how to define an MDM maturity model, how to apply maturity measurement consistently across an MDM program, and provides examples of various maturity milestones that should be tracked. This presentation will also discuss reasons MDM maturity can hit a wall, what are maturity inhibitors, and how to maintain momentum through a well focused continuous improvement approach.
DQPVS 2: Creating Data Management Discipline Through Defining and Executing Data Policies
In this presentation, highly respected data management expert and author, Mark Allen, shares a range of practical ideas on how to build a data management discipline through the definition, measurement, control and management of data policies.
Some of the topics include:
- How to define the overall scope
- The organisational structure of a data policy framework
- How to track and measure data policies
- Compliance tracking
- How to set ownership and authority
- Resourcing and budgeting requirements for your data policy
- Defining and managing the lifecycle of your data policies, from planning to maintenance