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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 - 25 of 38 matches |
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Unlocking the business value of information for competitive advantage |
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his executive level brochure provides the strategy behind Information on Demand (IOD), the 5 entry points to IOD and includes a summary of the 2008, information market analyst Ovum's independent evaluation of IBM's Information On Demand initiative which declared IBM to be at the "vanguard of the unified information management revolution."
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Overall Approach to Data Quality ROI |
| By : SAP |
Published Date: Jun 23, 2009 |
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Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
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Extending the Reach of Your Business Intelligence Insight through a Single, Complementary Solution |
| By : SRC,LLC |
Published Date: Jun 01, 2009 |
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To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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Profiling your Disaster Recovery Plan |
| By : InMage |
Published Date: Feb 18, 2009 |
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It’s a fact: nearly 48 percent of first-time Disaster Recovery (DR) plan implementations fail due to inaccurate estimates of necessary resources. Due in large part to faulty methods of estimating resource requirements, such as analyzing logs generated by tape backup software, organizations come to conclusions that are drastically wrong.
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Taneja Group Technology Analysts Delivering True Enterprise CDT |
| By : InMage |
Published Date: Feb 18, 2009 |
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The concept of Continuous Data Technologies (CDT) emerged on the scene two years ago, and is now transforming the data storage industry. Nearly every major storage vendor has one or more CDT products in their offering roadmap, in addition to a vital community of emerging vendors who are the true innovators in this space.
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Enterprise Strategy Group Replication Methodologies and Applications |
| By : InMage |
Published Date: Feb 18, 2009 |
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Replication has become a catchall phrase that while gaining in allure is also gaining in confusion – especially in the mid-tier where data is just as important as the high-end, but IT staffing and budgets are far more limited. IT people as well as vendors have a tendency to lump all data movement functions together as replication, regardless of the method or the reason.
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5 Important Steps to Successful Performance Management & BI An Analyst's Perspective |
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Sign up for the webcast and you will learn: The strategic benefits of a robust information infrastructure for performance management, How to take immediate action if your operating reporting has data latency challenges, How to drive broader adoption in the business by addressing critical data challenges, Why the combination of IBM and Cognos, an IBM company, accelerates the delivery and quality of the information needed to drive business performance.
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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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SOA - Actionable Information for Business Optimization |
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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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Results 1 - 25 of 38 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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