Next Chapter Meeting:
Wednesday, May 18, 2016
Location: 801 Market Street, Philadelphia, PA 19107
It will be our last chapter meeting before we break for Summer and we have some phenomenal speakers lined up for you!
Come hear Tom Redman - DAMA Professional Achievement Award recipient, Karen Akens, and Sara Willovit.
Registration and WelcomeData Blueprint Breakfast Sponsor Message9:15 -Dr Thomas Redman -2016 DAMA Professional Achievement Award recipientOrchestra Networks Lunch Sponsor MessageLunchKaren / Sara Case Study PresentationWrap-up3:00 -Business meeting / happy hour
Tom Redman, the “Data Doc,” helps companies, including many of the Fortune 100, improve data quality. Those that follow his innovative approaches enjoy the many benefits of far-better data, including far lower cost. His recent article, “Data’s Credibility Problem,” (Harvard Business Review, December 2013) showcases what’s possible. Tom’s Data Driven, (Harvard Business Press, 2008) is the guiding light for companies seeking to build their futures in data. Tom started his career at Bell Labs, where he led the Data Quality Lab. He has a Ph.D. is in Statistics and two patents.
Tom will present on Getting in Front on Data Quality. This workshop covers what it takes to improve data quality. It starts with an exercise that we will work together, involving a real-life situation and a series of critical decisions that lead an organization to get in front of data quality (or not!). Next it sketches the key roles data creators, data customers, and a new role that he calls “provocateur” play in making data quality happen. Finally, he’ll explore three simple tools that have proven themselves time and again in helping organizations get started.
Karen Akens is a data management consultant with Data Blueprint. As a Certified Data Management Professional, she has data management and solution development experience for numerous government and commercial clients. Her skill-set includes in-depth analysis of clients' business processes, analysis of data and data sources, and development and communication of data-centric tailored solutions that add business value. Her expertise focuses on eliciting business and technical requirements and facilitating communication between the business users and technical experts, including all levels of management. She has helped clients improve data flow logistics, develop data quality programs, implement data governance programs, and utilize data visualization for effective decision making. She is also a board member of DAMA-Central Virginia.
Sara Willovit is Director of Data Governance/Stewardship at Pearson, the world's largest education company, with 40,000 employees in more than 70 countries, whose goal is helping people make measurable progress in their lives. Sara has been with Pearson for 15 years holding many positions including leading Compliance for Americas region and Chief Financial Data Steward before moving into an enterprise role with the Global Data Services team. Her skill-set includes in-depth analysis of business processes, vouching & tracing source data used for management reporting, implementing data standards and calculating the business impact of data quality. Her accomplishments include implementation of a multi-dimensional Global Chart of Accounts used for internal & external reporting, deployment of a Data Governance/Stewardship framework, implementation of an Enterprise Business Accredited Glossary Pan-Pearson, and measurable increase in data quality. She also has experience with stewardship training, project and change management.
Karen and Sara will present a case study about Using a Data Quality Pilot to Make a Business Case for Enterprise Data Governance and Stewardship: A Real Roadmap. This session will focus on how Pearson conducted a Data Quality pilot and used it as a foundational building block for implementing business value added data governance from the ground up across the enterprise. Attendees will learn about how we turned the challenges into successes, and how they can apply our lessons learned to their own organizations. Topics include: Identifying and demonstrating the need for enterprise data management practices, obtaining executive sponsorship, partnering with industry experts for guidance, choosing the path between a top-down and bottom-up approach, designing and implementing a pilot data quality program that demonstrates the business value of governing data through quality, identifying and training data stewards, and collaboratively working with the business to continuously focus on the business value add of data governance through development of a business glossary and Master Data Management.