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Data Management > Data Quality |
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Data Quality refers to the quality of data. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" (J.M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. These two views can often be in disagreement, even about the same set of data used for the same purpose. |
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Results 1 - 19 of 19 matches |
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New report issued by Fortrex, Emagined Security and Solidcore reveals the cost of PCI compliance is justified. These PCI requirements exist to protect sensitive data - yet, research indicates that these are among the least satisfied requirements across Level 1 merchants, with almost 40% non-compliance.
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| By : KACE |
Published Date: Nov 10, 2006 |
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The classic definition of information security states that the goal is to protect information from possible breaches in confidentiality, integrity, or availability. This paper provides some context, then five simple solutions to help mid-sized organizations keep their end point security under control.
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| By : IBM |
Published Date: Jun 01, 2006 |
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The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.
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| By : Siperian |
Published Date: Jan 24, 2007 |
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Discover the essential steps to delivering a solid business case for the right customer-centric MDM architecture and achieve maximum ROI.
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Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
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This paper considers the use of email archives for compliance. It will also review how archives are trusted and look at what has to be done to ensure that integrity is maintained throughout the chain of events that take place within an email archive environment.
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| By : Dell |
Published Date: Jan 02, 2008 |
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Dell's automated deployment solution meets the challenges that IT managers face, according to Windows expert and author Jerry Honeycutt.
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The purpose of this white paper is to outline the importance of data quality with reference to single view of customer. In any organization SVC is the foundation of successful customer relationship management (CRM).
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This paper details the processes by which ProofMark tags electronic records with a self-validating cryptographic seal that acts as a "tamper indicator" based on a true and provable time-reference datum. With this it is able to provide instantaneous and irrefutable proof of authenticity, no matter where the data resides or who has controlled it.
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Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
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David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
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Learn what a Web Service is and how it works, the advantages of using a Data Quality Web Service, the technology assessment for implementation, and several case studies (Saab and other real world case studies) to demonstrate real life successes.
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Find out why Secure On-demand File Transfer Appliance (FTA) is revolutionizing how users and IT approach this basic core business process. See if you have similar problems and how others solve it with Secure FTA.
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This white paper describes the seven steps you need to develop a plan for data quality – one that scales to your growing business needs.
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| By : IBM |
Published Date: Oct 16, 2007 |
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We live and work in a fast-moving and dynamic world, caught between a host of conflicting demands on our time and attention. Against this backdrop we’re called on to boil an ocean of information in order to support the decisions that we have to make on an hour-by-hour basis.
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This paper examines the nature, cause and impact of data quality problems in typical IT system implementations. It argues that the extent and impact of poor data quality is largely misunderstood and often ignored.
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| By : IBM |
Published Date: Jun 01, 2005 |
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This white paper outlines the components of the Banking Data Warehouse (BDW) and how they assist financial institutions in addressing the data modeling and data consolidation issues relating to the SOX regulations.
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| By : Bocada |
Published Date: Oct 21, 2005 |
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This strategic view is the proverbial "gold" that can be mined from your data protection systems; it is the asset that will enable IT management to prioritize activity to bring activities in line with business objectives and communicate policy compliance to corporate officers and data owners.
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What are the long-term costs of bad data? This white paper gives you the answers and tells you how to fix it.
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