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Data Quality
Data Warehousing Ensuring Data Integrity
Making Data Work: Addressing Data Quality at the Enterprise Level
This white paper is about data quality and data integration technologies and how they should work together seemlessly.
Can your SharePoint Backup Harm Your Business?
This white paper is intended for IT professionals who are responsible for helping companies evaluate, plan and execute data backups for SharePoint.
The Value Behind Integrity
Customer data is a comprehensive representation of a client within multiple channels, business lines and enterprises. Properly gathered and analyzed information gives mission critical knowledge on how to attract, retain and motivate customers.
Building Profitable Customer Relationships and Personalized Retention Strategies
This white paper explores best practices for maintaining customer value and loyalty with a data-driven approach to retention.
Confidence You Can "Bank On" with Enhanced Financial Data Quality
Effectively Managing Master Data to Help Improve Information Quality
In this white paper executives gain insight into how companies can improve information quality and business performance management by implementing programs to standardize, improve, and manage enterprise master data nationally or globally. Download this in-depth report to learn more (2-page Executive Summary - Full report on similar topic search for: Master Data Management: Strategies and Recommendations for Creating a Single View of the Business).
The IQ Solution Cycle: A Methodology for Building a Data Quality Initiative
In this white paper, data quality expert, Frank Dravis helps readers avoid pitfalls and unnecessary detours by guiding them through the phases of the IQ Solution Cycle and the detailed steps in each phase.
Data Quality Essentials
Trillium Software’s ”Data Quality Essentials” white paper introduces strategies and techniques that have been used by many Fortune 500 companies to plan and implement a successful data quality solution and process. Incorporating an effective data quality solution into your project requires a number of additional activities throughout the lifecycle of your project plan. Find out why and learn who should perform and execute what technique during each of your project’s phases.
Data Warehousing, Next Generation Business Intelligence and the Evolution of Data Quality
Business intelligence (BI) is only as good as the data that supports it. But real-world experience is showing that existing data quality tools and data warehouses can’t support evolving BI requirements. In an new whitepaper, David Loshin explains how embedding data quality services directly into applications can help meet key challenges involving: unstructured data, globalization, the explosion of raw data and the need for realtime synchronization between data sources.
Data Quality and Identity Resolution
The market for identity resolution processes evolved from simple search-and-match functionality for customer service, fraud detection and security screening processes to today's highly accurate, high-performance, real-time, cross-language search and match services across multiple application. This paper describes how identity resolution complements and extends the application of data quality and data integration processes into business applications.
