Learning Objectives
What is master data management (MDM)? Although it may mean different things to different people, there are common elements with which to define its basic principles.
AMR Research offers the following definition: “A system of business processes and technology components that ensures information about business objects, such as materials, products, employees, customers, suppliers, and assets, is current, consistent, and accurate wherever they are used inside or exchanged outside the enterprise.”
This Webcast will provide a formulated look at how to determine which data is worthy to be used in your MDM initiative.
You will learn how to:
- Justify internal process needs and obtain more value from your data.
- Re-engineer the process of how you choose the data to work with exclusively.
- Consolidate data management to streamline the process.
- Identify tests or measurements needed for data selection.
- Determine whether one or more application touches the data.
- Validate the value of the data selected.
- Identify the criteria needed to make a final determination and a correlation to cost savings and business benefits.
- Reduce operational costs with your master data.
And finally, the discussion will include key points about data governance to assist in ensuring that your MDM project will benefit each entity throughout your organization.
Program Content
Companies working on a MDM initiative must first define the metrics that will be used to determine which data will best fit their requirements. So what is the best way to go about doing this? To answer that question, the panel presenters from Knowledge Integrity Inc., DataFlux and SAS will:
- Define MDM and share why it is growing in importance.
- Discuss the large gray area between what does and does not qualify as master data and how to make that determination.
- Analyze three areas: customer master data, manufacturing master data and data synchronization.
Hear industry experts share best practices about MDM projects, which have many dimensions. Starting from the perspective that most companies have large process gaps when beginning such an initiative, the presenters will explain how to allocate the right time and resources so that you can understand where to start and how to build a roadmap. Learn how to get started by focusing on the important elements as defined by your developed strategy and assessing if you have the right processes and technology. If not, the panelists will recommend how to identify experienced consultants to assist in creating a process that allows you to get the most value from your data, and one which will ensure you obtain the best possible return on your investment.
Participant Level of Understanding
This program is intended for any participants with an interest in unifying many sources of information into one MDM structure.
Who Should Attend?
Executives, directors, managers and analysts who want a better understanding of how to use business intelligence, data warehousing and analytic applications to contribute to a organization’s success.
About David Loshin, Knowledge Integrity Inc., Ron Agresta, DataFlux, and Ken Hausman, SAS
About David Loshin
David Loshin is the President of Knowledge Integrity Inc, a consulting and development company focusing on customized information management solutions, including information quality consulting, information quality training, business intelligence solutions, metadata management, data standards management and business rules solutions. Loshin is widely recognized as an expert in information quality, is a frequent contributor to Intelligent Enterprise, and serves on the editorial board of DM Review. He started writing a monthly column for DM Review in 2002, is a quarterly featured columnist for the Data Administration Newsletter, and is the channel expert of the B-EYE-Network's Information Quality and Data Integration channel.
Loshin is widely recognized as an expert in information quality, is a frequent contributor to Intelligent Enterprise, and serves on the editorial board of DM Review. He started writing a monthly column for DM Review in 2002, is a quarterly featured columnist for the Data Administration Newsletter, and is the channel expert of the B-EYE-Network's Information Quality and Data Integration channel.
Loshin’s most recent book, Business Intelligence: The Savvy Manager's Guide, was published in June 2003 and has been hailed as a resource that allows readers to "gain an understanding of business intelligence, business management disciplines, data warehousing, and how all of the pieces work together." He is also the author of Enterprise Knowledge Management -- The Data Quality Approach (Morgan Kaufmann, 2001), which describes a revolutionary strategy for defining, managing and implementing business rules affecting enterprisewide knowledge management and information compliance.
In addition, Loshin created and taught a graduate-level course on data quality at New York University, created courses for The Data Warehousing Institute, presented at the annual DAMA/Meta Data Conference, and has taught tutorials on data quality at a number of information quality conferences. He is frequently invited to speak at vendor events and Web seminars, and also frequently serves as a judge for numerous industry best practices awards.
About Ron Agresta
As Solutions Manager at DataFlux, Ron Agresta works closely with the DataFlux research and development team, customers, partners and industry analysts to help DataFlux develop data management solutions built on the core technology platform. He is responsible for the overall DataFlux solutions roadmap and has extensive experience in product lifecycle management with data quality management software.
A DataFlux employee since 2000, Agresta spent several years as Product Manager for the core DataFlux technology platform. He helps develop methodologies for the entire suite of DataFlux products and solutions and presents regularly within the data management community through speaking engagements, online seminars and Webcasts. Agresta holds a master's degree from North Carolina State University and a bachelor's degree from The Ohio State University.
About Ken Hausman
Ken Hausman, Global Marketing Product Marketing Manager for Data Integration, brings diverse experience to SAS. He began his career as a biomedical engineer with degrees from Boston University and the University of Miami, and developed a number of medical devices used in hospital operating rooms and physicians' offices worldwide. After receiving an MBA with a concentration in marketing at Northeastern University, Hausman was asked to step into an accounting firm as its Director of Marketing and Computer Services, where he installed accounting systems, managed the firm’s computer network and developed a business plan for growing its computer consulting business. He also managed the company Web site, designed ads that ran in the Boston and local area Yellow Pages and published articles in local trade papers.
Next, Hausman combined his technical background with his desire to work more directly with customers and ventured into the world of SAP consulting. Starting out at a small firm, and then finishing as an independent consultant, he developed specialties in custom ABAP reporting and in the development of data loads, interfaces and data quality at clients like VF Corporation (Vanity Fair, Lee Jeans, Wrangler Jeans, etc.), Reebok (Greg Norman and Rockport) and MIT.
Leveraging his ERP and data integration experience, Hausman then worked at Ascential Software as a Solutions Architect before joining SAS as a System Engineer. In his current role, he focuses on all aspects of data integration product marketing including: speaking to industry analysts and the press; supporting trade shows, Webcasts and conferences; working with product management and R&D on product features that address customer requests and market trends; and developing external messages for Web pages, brochures and other data integration documents.
