Learning Objectives
This Webcast will answer burning questions and provide best practices for an effective data governance initiative. Find out how to improve the way you create rules and standards needed to ensure that your organization has sound information to make wise, forward-looking decisions. You will learn how to:
- Propagate standard business practices across the enterprise.
- Improve the quality of data at its source.
- Consolidate accurate and consistent data from across the globe.
Program Content
When you build a fire by hand, the ultimate goal is igniting a flame that provides sustained results like heat and light. Reaching that ultimate goal, however, requires the right materials – like wood and a spark. Similarly, creating an effective data governance strategy also requires that you have the necessary resources at your disposal. Data quality is your wood – the fuel of your data governance initiative, which allows you to automate the processes of establishing a unified standard for data. Through business rules monitoring, you can check against bad or nonconforming data and provide alerts when information does not meet pre-set standards. Analytics is your spark. With analytics, you can illuminate previously unknown patterns or trends in your information and predict the best course of action.
Tune in to hear thought leaders discuss how best-in-class organizations use proven strategies for data governance. They will share case studies and real-world experiences that illustrate why combining data quality and analytics is an approach that proves to be effective for many organizations. Learn the type of results other organizations obtain from their data governance strategy and the kind of returns you can expect within your own enterprise.
Participant Level of Understanding
This program is intended for anyone who is interested in using data quality to enforce business rules and standards across the enterprise and applying analytics to answer forward-reaching questions.
Who Should Attend?
Executives, directors, managers and analysts who want a better understanding of how the use of business intelligence, data warehousing and analytics software can contribute to a company'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’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 Corp (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.
