DataFlux Resources
DataFlux resources covering data profiling, data quality, and data management methodology. Access an array of industry reports, white papers, web seminars, and case studies.

• Coordinating MDM Stakeholders
  Before starting to build and configure a master data management environment, an organization must work with many stakeholders and align their expectations so that the delivery of value is correlated to milestones along the project life cycle. This white paper by David Loshin looks at the different individual roles within the organization that are associated with master data management - and examine what the responsibilities and accountabilities are for each of these roles.
• Coordinating the MDM Stakeholders
  One critical success factor of a master data management program is aligning all of the key internal stakeholders. This webcast by David Loshin and Daniel Teachey discusses the best practices for building buy-in with the right contacts across the organization.
• The Six Key Ingredients for Master Data Management Success
  Any effective master data management program requires a mix of technologies to achieve success. This webcast by David Loshin and Daniel Teachey provides an outline of the technical ingredients required for MDM success, and examines how these ingredients relate to the levels of organizational maturity as determined by the ability to provide MDM services.
• Burning Questions on Data Governance: Establish Ground Rules and Business Standards for Quality Information
  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, and consolidate accurate and consistent data from across the globe.
• Master Data Management Essentials: Organize and Optimize Customer Data to Find Hidden Opportunities
  This webcast with David Loshin of Knowledge Integrity Inc, Ron Agresta of DataFlux, and Ken Hausman of SAS offers instruction on how to gather best practices for using Master Data Management. Offering step-by-step approaches for getting the most value from your information, you'll find out how to create a consistent, accurate view of your information, measure your performance improvement and use predictive analytics to make more decisions in real time.
• American Heart Association Building Unified View of the Customer with DataFlux Solutions
  With multiple applications containing more than 14 million records housed in disparate, disconnected systems, and no reliable way to manage donors across these systems, the American Heart Association turned to DataFlux for a customer data integration (CDI) solution. The association now easily manages records across multiple systems, and has almost eliminated duplication.
• ZERO TO FIVE: A Stepwise Progression for MDM
  Companies assessing master data management are using a variety of metrics. Some focus on functionality, some on architectural stacks, while others weigh vendor choices based on a proof-of-concept approach. On the heels of last year’s acclaimed book on Customer Data Integration, Jill Dyché and Evan Levy are back at it, once again relating their real-world experiences in planning, designing, and implementing MDM programs at Fortune 1000 companies. In this webcast, Jill and Evan will describe the evolution of MDM maturity as explained in their new white paper, “The Baseline on MDM: Five Levels of Maturity for Master Data Management.” They will walk through the various levels of MDM functionality, discuss how they build on one another, and explain how MDM maturity accelerates data governance maturity.
• Mike Hall of Experian discusses Data Quality
  In this podcast from the 2007 DataFlux Users Event, Mike Hall from Experian discusses his company's data quality program, and explains how DataFlux is allowing Experian to guarantee data quality by examining, understanding, and standardizing data from thousands of different sources on a daily basis.
• The Foundation of Enterprise Information Management with David Loshin
  In this podcast of his keynote address from the 2007 DataFlux Users Event, David Loshin, President of Knowledge Integrity, Inc. shares his expertise on the topics of data quality, predictive analytics, master data management programs, data stewardship and data governance.
• Data Governance Done Right with Jill Dyche and Evan Levy
  In this podcast from the 2007 DataFlux Users Event, Baseline Consulting partners Jill Dyché and Evan Levy discuss the relationship between data governance, CDI and MDM, providing insightful comments on how to succeed with data governance, and advice about how to begin a data governance initiative.
• Data Quality at Intellidyn with Peter Harvey
  In this podcast from the 2007 DataFlux Users Event, President and CEO of Intellidyn Peter Harvey provides an overview of Intellidyn's data quality program, including the goals of Intellidyn's corporate data strategy, and also discusses the importance of executive-level support for data quality initiatives.
• DataFlux Users Event 2007 Recap with Tony Fisher
  In this podcast from the 2007 DataFlux Users Event, Tony Fisher, President and CEO of DataFlux, describes DataFlux’s growth plans, his vision for the future of DataFlux and shares his thoughts on this year’s very successful Users Event.
• International Data Quality with Katie Fabiszak
  In this podcast from the 2007 DataFlux Users Event, DataFlux Vice President of Marketing Katie Fabiszak talks about DataFlux's continuing international growth, describes the data quality market trends, and provides a synopsis of international attitudes toward data quality.
• Data Quality, SOA, and DataFlux Version 8 with Scott Gidley
  In this podcast from the 2007 DataFlux Users Event, DataFlux Senior Director of Research and Development Scott Gidley explains the importance of service-oriented architectures, how data quality affects the way organizations build their infrastructures, and the key features of DataFlux Version 8.
• Master Data Management and Data Governance with Ron Agresta
  In this podcast from the 2007 DataFlux Users Event, DataFlux Product Manager Ron Agresta talks about master data management, particularly the relationship between master data management and data governance.
• Customer Information Management: Business and Technology Trends
  Although all companies say that customer data is important, a recent report by Ventana Research shows that only 6 percent of all organizations have created a group dedicated to managing customer-facing processes and data.  This report, sponsored by DataFlux, explores why companies face customer information challenges - and provides guidance on how to improve these efforts.
• Unifying the Practices of Data Profiling, Integration, and Quality (dPIQ)
  Data profiling, data integration, and data quality are inseparably linked together - all three address related issues in data assessment, acquisition, and improvement. Because they overlap and complement each other, the three are progressively practiced in tandem, often by the same team within the same data-driven initiative. Hence, there are good reasons and ample precedence for bringing the three related practices together. This monograph by Philip Russom of TDWI examines how the result of bringing these together can be an integrated practice for data profiling, integration, and quality, succinctly named by the acronym dPIQ.
• Managing & Integrating Data in an SAP Environment
  A critical success factor when implementing SAP is to make sure that data quality and data integration are managed. In this webcast, Mike Ferguson will examine SAP applications and SAP infrastructure technologies, and the impact of poor data quality in a SAP environment.