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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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SOA - Actionable Information for Business Optimization |
| 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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Interview: Karen Hsu, Informatica |
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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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Driving A Single View of The Customer |
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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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5 Simple Solutions for Developing a Collaborative Endpoint Security |
| 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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Exclusive Interview: John Nydam & Tom Brennan |
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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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Ensure the Integrity of your Content: ProofMark System Technical Overview |
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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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Solving the Data Quality Problem |
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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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Results 1 - 19 of 19 matches |
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More Data Management Topics |
Application Integration, Analytical Applications, Business Intelligence, Configuration Management, Database Development, Data Integration, Data Mining, Data Protection, Data Quality, Data Replication, Database Security, EDI, SOAP, Service Oriented Architecture, Web Service Management, Data Warehousing |
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SPECIAL REPORT |
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IDC Workbook: Assess the Value of Deduplication for your Storage Consolidation Initiatives
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Enterprises are caught between the continued growth in the amount of data they create, store, and depend on, and the need to consolidate IT resources to reduce costs and create a more 'green' IT environment. But while organizations have worked to reduce IT footprint, they must balance the need to improve resource utilization with more efficient protection and recovery capabilities, all in the face of increasing capacity pressures. Download the IDC Workbook: Protecting Data in the Context of Enterprise Infrastructure Consolidation and Data Growth: The Rise of New Technologies. |
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