- Business Data Network - Reference
- Dashboard and Monitor Viewers
- Data Enrichment
- Data Integration
- Data Monitoring
- Data Profiling
- Data Quality
- Entity Resolution
- Metadata Analysis
- MDM Foundations
Release date: 10/19/2005
DataFlux Co-founder and CTO Calls for Data Quality Platform to Standardize Enterprise Software and Web Services
“Using Data Quality to Optimize Customer Data Integration Initiatives,” a presentation for the SearchCRM.com Customer Data Management Seminar Series, “Driving Profitability with Customer Data Management,” a free, three-city seminar series focusing on the strategic movement of customer data throughout the enterprise
Scott Gidley, founder & CTO, DataFlux
Gidley joins industry experts Jill Dyché, partner and co-founder of Baseline Consulting; Robert Lerner, senior analyst at Current Analysis; and Aaron Zornes, founder and chief research officer of The CDI Institute.
WHEN AND WHERE
Washington, D.C. – Grand Hyatt
Wednesday, Oct. 19, 8 a.m. to 2:30 p.m.
Stamford, Conn. – Westin Hotel
Thursday, Oct. 20, 8 a.m. to 2:30 p.m.
Chicago – The Drake Hotel
Wednesday, Oct. 26, 8 a.m. to 2:30 p.m.
Good customer data - reliable, consistent, and accurate - is the foundation of strategic business decisions and the lifeblood of the competitive organization. But corporate growth, new technologies and ever-growing volumes of data from multiple sources are straining the organization's ability to manage the quality of its data. At risk are the strategic decisions that shape the corporation and its relationships with customers, business partners and suppliers.
Fortunately, it's never been easier to ensure that customer data quality standards are enforced and integrated across the enterprise. In this presentation, Scott Gidley, co-founder and CTO of DataFlux, a data quality solutions provider, will introduce the concept of a common data quality platform on which companies can standardize their software and Web services applications. With a common platform, companies can master the data management challenge without compromising operational data quality, whether it's in the ERP system, CRM application, sales force automation tool or the data warehouse.