Business Intelligence Best Practices -

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Case Studies - Data Quality

LexisNexis: Enhancing Sales Campaign Support and Improving Data Quality
The goal was to establish a front-office environment to uniquely identify customers and improve the customer experience and effectiveness of marketing and sales functions.

Data Quality Monitoring: The Basis for Ongoing Information Quality Management
A well-defined set of metrics should be used to get a baseline understanding of data quality and to build a business case to justify investment in data quality

M&S Money Meets the Compliance Deadline for Basel II Through an Enterprisewide Data Quality Initiative
As part of the project to ensure Basel II compliance M&S Money planned a data quality project to accomplish a number of operational benefits

Data Integration Drives Healthy Customer Relationships
by Tony Fisher
The IT staff pulled reports from its systems and found a distressing but pervasive problem that exists in most organizations.

Intellidyn Uses Data Integration to Manage Industry-Leading Consumer Information
Intellidyn needed a data integration solution that could accurately and consistently identify individuals across 60 terabytes of data...

Avoid the Pitfalls of Poor Data Quality
Given the current emphasis on the need to maintain a 360-degree view of the customer, data quality involves being able to link all of a given customer’s records together.

Emerson Process Management Unifies Account Data for a Stronger Revenue Stream
Understanding each customer fully and completely required accurate information instantly available to all reaches of the Emerson organization.

From Short Stack to Competitive Advantage: IHOP's Pursuit of Data Quality
Driven by the need to better understand its business, the International House of Pancakes (IHOP) appointed a data quality team to ensure critical information stays updated and reliable.