PM1: Addressing Data Challenges using the Data Management Maturity Model

Our industry has a wealth of tool sets, methods, and approaches to improve data management. However, despite knowledge, capabilities, and technologies, many organizations fail to gain traction, creating isolated pockets of excellence; efficiency gains and cost savings are often elusive. The DMM offers a unifying framework that describes behavioral consistency needed to:

Create a cohesive, organization-wide data strategy
Implement a business-driven approach to priorities, targets, and thresholds
Develop rational, achievement-based metrics
Increase governance awareness and participation.

Applying the data management process areas of the DMM, organizations can now quickly discover strengths and gaps, realize increased focus, and guide their journey to improvement. We will apply the DMM to a series of specific data management challenges, highlighting measurable outcomes ranging from increased awareness to decreased data errors.

Participants will learn:

How the DMM pinpoints needed data management and quality solutions
To adapt DMM process areas to specific needs
To leverage accomplishments for additional benefits.

Ms. Mecca, CMMI Institute’s Director of Data Management Products and Services, led development of the Data Management Maturity (DMM) Model. Her team created a business-centric method for assessing an organization’s capabilities via the DMM, and she leads Assessments for organizations in multiple industries. She directed creation of the Building EDM Capabilities, Mastering EDM Capabilities, and Enterprise Data Management Expert (EDME) courses leading to the EDME certification. In her 30+ years solving enterprise data challenges, Ms. Mecca advocates measuring data management capabilities as the quickest path to business value, and is devoted to empowering our industry through data management education.

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, a data management consulting firm that puts organizations on the right path to leverage data for competitive advantage and operational efficiency. He is also past President of the International Data Management Association (DAMA-I).

Nancy Petersons is the Director of Data Management at Ontario Teachers’ Pension Plan. Nancy’s career in data management spans buy and sell side, as well as global and exchange data providers. She has over 30 year of experience leading data management initiatives. At Ontario Teachers’, Nancy has been responsible for establishing their inaugural data management team, the governance and supporting technologies. Nancy has held data management positions at RBC Capital Markets and the TMX Group. Her career in data management started by leading the development and operations of Reuters global data services, focusing on the reference and market data used to support their analytical products.