Ten Steps to Quality Data and Trusted Information
Do these situations sound familiar? Your company is involved in a data integration project such as building a data warehouse or migrating several source systems into an ERP (Enterprise Resource Planning) application. Data quality issues are impacting the project timeline or users are distrustful of the information that is provided. Whether you are just starting the project or are already in production, it is not unusual to find that information quality issues prevent the company from realizing the full benefit of their investment in the new systems. Join us to learn practical approaches to improving the quality of information critical to running your business, satisfying customers, and achieving company goals.
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| Speaker Bio |
Danette McGilvray is President and Principal of Granite Falls Consulting, Inc., a firm specializing in data quality management to support key business processes around customer satisfaction, decision support, supply chain management, and operational excellence. Projects include enterprise data integration programs, data warehousing strategies, data governance, and best practices for large-scale ERP data migrations for Fortune 500 organizations. |