4 Resources for

quality data

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Business Survival Series: Start on the Right Path: Quality data is the critical first step to business intelligence success. Regardless of how sophisticated and complex the business intelligence functions are, ultimately they can only be as good as the data they use. But what, exactly, constitutes "Quality data," and how do a person make sure he or she...; Tags: Data Quality, Quality Data, Pricing, Business Intelligence, Tools & Techniques, Databases, Enterprise Software, Marketing, Software, Data Management, Management; Webcasts
TechNet Webcast: Mining for Quality: Apply Adaptive Data Quality With SQL Server Data Mining (Level 200): Good quality data is essential to a successful business intelligence application. Most of them are probably aware that Microsoft SQL Server includes some useful data quality tools such as Fuzzy Grouping or Fuzzy Lookup. However, there is one tool people may have overlooked - SQL Server Data Mining. When used...; Tags: Data Quality, Webcast, Microsoft SQL Server, Microsoft TechNet, Quality Data, Business Intelligence, Databases, Data Mining, Pricing, Enterprise Software, Software, Data Management, Marketing; Webcasts 2008-01-17
Gain a measurable competitive advantage by ensuring enterprise data quality: Competitive advantageThose enterprises that can ensure the information used to make management decisions is derived from quality data will have a definitive competitive advantage in the marketplace.The download of Chapter One of [i]Enterprise Knowledge Management: The Data Quality Approach[/i], by David Loshin, shows you some of the problems that can...; Tags: competitive advantage, Mark W. Kaelin, it management; Discussion threads 2004-12-17
Want high-quality data? Follow these Fourteen Points: Managing the quality of your organization's data is a crucial challenge for any CIO. We?ll show you how to use proven quality-management principles to ensure the quality of your data.When tackling data-quality issues, the CIO might be well served by adopting a product view of information and properly regarding data...; Tags: Quality, TQM/Six Sigma/ISO 9000, Databases, Dan Pratte, data quality; Technical articles 2001-06-18

Additional Resources

Data Profiling Using OWB10gR2 and the Data Quality Option: The Data Quality Option enables to convert the raw, staging data that comes into the reporting database into quality information. Using the features in this option, one can gain insight into the data and identify previously unknown data quality problems. Subsequently, it can create data rules and generate mappings to...; Tags: Data Quality, Data Quality Option, Databases, Enterprise Software, Software, Data Management; White papers 2006-10-16

Measuring and Improving Data Quality Part II: Measuring Data Quality: Data problems are common sources of frustration, and it often seems impossible to improve the quality of the data one work with. However, well researched and proven methods for measuring and improving data quality do exist. To improve data quality, it is important to define what is meant by "Quality"...; Tags: Data Quality, Databases, Enterprise Software, Software, Data Management; White papers 2005-04-01
The Data Quality Imperative - Insight to Action: This webcast explains what comprises the major areas of data quality technology, why data quality is essential for regulatory compliance, which trends in the market will require data quality and why data quality is a key component and differentiator of business analytics solutions.; Tags: Data Quality, Databases, Enterprise Software, Software, Data Management; Webcasts
Proven Approaches to Data Quality: In this webcast, attendee will learn about proven approaches to data quality based on large successful project initiatives. Using a step-by-step approach, this webcast will help the attendee to understand the data landscape and measure data quality in the organization, prioritize among the various data quality issues, move beyond basic...; Tags: Data Quality, Databases, Enterprise Software, Software, Data Management; Webcasts
Data Quality by the Numbers: Best Practices for Managing Business Data: The use of data quality technology for customer data is far more prevalent than the use of the technology for business data. The reason for this imbalance has as much to do with the organizations that are acquiring data quality solutions as it does with data quality technology itself. Many...; Tags: Data Quality, Best Practice, Business Data, Databases, Enterprise Software, Software, Data Management; White papers 2006-09-14
OracleBI Warehouse Builder 10gR2 "Paris": Transforming Data Into Quality Information: This paper discusses the concepts of data quality, their importance in an enterprise as well as the distinct advantages of performing data quality processes inside a robust data integration product - Oracle Warehouse Builder. Oracle Warehouse Builder addresses the challenges of data quality by offering data assessment, data cleansing, data...; Tags: Data Quality, Oracle Corp., Data Integration, Oracle Warehouse Builder, Databases, Enterprise Software, Software, Data Management; White papers 2005-09-01
Oracle Warehouse Builder 10gR2: Transforming Data Into Quality Information: This paper discusses the concepts of data quality, their importance in an enterprise as well as the distinct advantages of performing data quality processes inside a robust data integration product - Oracle Warehouse Builder. Oracle Warehouse Builder addresses the challenges of data quality by offering data assessment, data cleansing, data...; Tags: Data Quality, Oracle Corp., Data Integration, Oracle Warehouse Builder, Databases, Enterprise Software, Software, Data Management; White papers 2006-01-01
Data Quality: The Cornerstone of Effective Data Integration: By 2005, Fortune 1000 enterprises will lose more money in operational inefficiency due to data quality issues than they will spend on data warehouse and CRM initiatives, according to Gartner, Inc. principal analyst Ted Friedman. Because the quality of underlying data dictates the return from most operational systems, the implementation...; Tags: Data Quality, Data Integration, Databases, Enterprise Software, Software, Data Management; Webcasts
The Role of Data Quality in Biometric Systems: Data quality limits the accuracy of biometrics. Poor data quality is responsible for many or even most matching errors in biometric systems and may be the greatest weakness of some implementations. This paper uses an expansive view of data quality focused on its implications for operational databases and systems. The...; Tags: Data Quality, Databases, Enterprise Software, Software, Data Management; White papers 2006-02-09
Towards a Quality Model for Effective Data Selection in Collaboratories: Data-driven scientific applications utilize workflow frameworks to execute complex dataflows, resulting in derived data products of unknown quality. The authors discuss the on going research on a quality model that provides users with an integrated estimate of the data quality that is tuned to their application needs and is available...; Tags: Quality, Indiana University, Databases, Enterprise Software, Software, Data Management; White papers 2006-01-19
Monitoring Data Quality Performance Using Data Quality Metrics: Organizational data quality management is often introduced in reaction to acute problems traceable to how some data failure adversely affected the business. This reactive approach may be typified by a rush to identify, evaluate, and purchase technical solutions that may or may not address the manifestation of problems, as opposed...; Tags: Data Quality, Monitoring, Data Quality Management, Databases, Enterprise Software, Software, Data Management; White papers 2006-11-01
Solving the Data Quality Problem: 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. It is proposed that the problem of poor data quality is primarily a behavioral problem, not...; Tags: Data Quality, Databases, Enterprise Software, Software, Data Management; White papers 2006-10-17
Next-Generation Research Issues in Spatial Data Quality: Incomplete knowledge about the quality of data is a fundamental issue that needs to be addressed by the spatial information community over the next decade. Users of spatial data must be able to easily ascertain the quality of their information and its ability to meet their requirements. They also need...; Tags: Data Quality, Quality, University Of Melbourne, Databases, Enterprise Software, Software, Data Management; White papers 2005-09-01
The Challenge of Global Data Synchronization: This paper describes the coming paradigm shift in Data Quality Management DQM and explains how Consumer Packaged Goods CPG enterprises can empower themselves to improve and maintain their critical master data in the era of global data standards. It also outlines the solution provided by Informatica Data Quality, a unique...; Tags: Data Quality, Data Synchronization, Product, Databases, Enterprise Software, Software, Data Management; White papers 2006-04-11
The CIO's Guide to Taking Data Asset Metrics to the Boardroom: Data quality and data integration can affect all aspects of an organization. Without consistent, accurate and reliable data, companies cannot respond to trends and meet customer expectations. This white paper explains how reports on data quality initiatives can help executives understand the impact of data quality - and what CIOs...; Tags: Asset, Data Quality, Databases, Enterprise Software, Software, Data Management; White papers 2006-10-09
The Information Perspective of SOA Design, Part 6: The Value of Applying the Data Quality Analysis Pattern in SOA: For SOA services to be successful and reusable, it is important that the data they expose is of acceptable quality for all the consumers. Exposing quality data is necessary in any SOA initiative. Whether it is application services being exposed or a simple generated data query service, the resulting data...; Tags: Data Quality, Data, SOA, Service-Oriented Architecture (SOA), Web Services, Middleware, Enterprise Software, Software; White papers 2008-04-17

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