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Webseminar Data Quality - the foundation for any CDI initiative

 
07 July 2005

Of all data in your organization, customer data is the most valuable. But what if its quality is not sufficient enough? This will certainly have an impact on the business and will, for instance, interfere with compliancy regulations.


Customer Data Integration (CDI) is all about removing and reducing redundancy in data storage and synchronization of data semantics to allow for efficient business processes and create a single point of truth for customer data. A good, comprehensive data model and sophisticated data quality control is key to achieve this.


Human Inference's HIquality Product Suite delivers a flexible Data Quality Management solution that integrates with virtually any CDI solution, home grown or acquired and connects to any data model. Human Inference has over 19 years of experience in delivering key data quality components to CDI projects. This translates to best practices that consultants apply to your current business problems and opportunities.


On Thursday, 7 July from 10.00 - 10.45 AM, Eddy Reimerink, product marketing director of Human Inference, will host a webseminar on CDI. The webseminar will focus on the basic necessity of data quality, the data model requirements, as well as the importance of single customer view in any CDI solution. Furthermore, Mr. Reimerink will elaborate on the Human Inference proposition in the customer data integration context. Click register now to sign up for this webseminar.


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