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data quality (91 results)
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- Gain a measurable competitive advantage by ensuring enterprise data quality
- Technological innovations in the areas of communications anddata networks have improved the proficiency, efficiency, and bottom-line ofmany enterprises. However, this massive amount of data flowing across thevarious networks in varying degrees tends to degrade the reliability andquality of the potential information that can be gleaned. Without good qualitydata, decision makers...
- Technical articles 2004-12-17
- Use these Fourteen Points to improve the quality of your data
- In today's business climate, poor-quality data can threaten the livelihood of your enterprise. This article shows how you can apply a quality-management expert?s Fourteen Point program to improve your data ?product.?More than ever, enterprises are dependent on data quality because it is our data—and the information we craft from that...
- Technical articles 2001-06-20
- 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...
- Technical articles 2001-06-18
- Poor-quality data can rob your company of information
- Your company?s information is only as good as the data you use to build it. But sometimes you can?t see the poor quality of your data until the needs of a data warehouse expose the problem. We?ll show you how to make sure your data is up to snuff.As a...
- Technical articles 2001-05-30
- Bring your data up to speed with real-time enhancement tools
- Your data collection and maintenance strategy is flawed if it doesn't incorporate real-time data enhancement. Learn how real-time data tools can make your data more valuable, help to drive sales and marketing efforts, and generate online promotions.Using real-time data enhancement tools, such as data cleansing tools with real-time verification and...
- Technical articles 2001-04-18
- Data quality is vital to CRM or ERP user acceptance
- Users must be assured data quality before they will accept an ERP or CRM system. This article examines the importance of data quality and offers suggestions for improving your data's validity.Invariably, whenever I teach a lesson on database query and reporting, questions arise involving data quality:Why can’t we find out...
- Technical articles 2001-03-22
- Use these four methods to clean up your data
- Is your ERP or CRM data accurate? You may be surprised how easily large databases can become corrupted with incorrect, outdated, and unusable data. Here are four ways you can clean up your enterprise data.Problematic data can lead users to distrust the very applications they rely on to make marketing...
- Technical articles 2001-04-04
- How ACORD Can Be Used as a Best Practice for Data Integration
- This paper enlightens the reader on various strategies for benefiting from ACORD's IP. It explores a company's unique business requirements alongside internal and external influencing factors and offers targeted approaches to using ACORD standards for accomplishing data normalization. In addition, regardless of the strategy chosen, this paper discusses the management...
- White papers 2007-05-15
- Making Data Work: Addressing Data Quality at the Enterprise Level - Realizing the True Value of Your Information Assets With Enterprise Data Quality and Data Integration
- Despite nearly 40 years of information technology advances, only now are some organizations realizing the true value of their corporate data. Increasing reliance on automated business processes, more stringent regulation, and the ever-increasing pitch of competition are driving organizations to focus on the data they use to run their business...
- White papers 2007-07-31
- 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...
- White papers 2006-11-01
- Data Quality: The First Step on the Path to Master Data Management
- More stringent regulation and market competition mean that organizations need to establish better control and consistency of their master data and the business processes responsible for the capture and maintenance of such shared data. Many organizations are implementing master data management solutions - under a number of different labels, including...
- White papers 2007-07-09
- Get Clean, Stay Clean - Competitive Advantage through Data Quality
- The purported benefits of advanced IT investment are many. Systems promise to provide executives with comprehensive, timely, and accurate data to support better decision making. Whether the strategic goal is better customer targeting and servicing Customer Relationship Management, streamlined logistics Enterprise Resource Planning, or an integrated view of the enterprise...
- White papers 2008-01-01
- The Data Governance Maturity Model
- For any organisation, the first step to address the quality and value of corporate data is to take an honest assessment of the data management infrastructure. This DataFlux white paper introduces the Data Governance Maturity Model and explains how your organisation can use this model to understand the major issues...
- White papers 2008-01-17
- Spanish Winery Improves Data Quality and Security With Operating System Upgrade
- With operations in five separate locations across Spain, mobile technology is of the essence to vintner Grupo Matarromera. The company, therefore, was eager to implement the new Windows Vista operating system with its mobile devices. Now, Grupo Matarromera can get vital business data from its vineyards to its Virtual Private...
- Case studies 2007-04-01
- The Data Quality Business Case: Projecting Return on Investment
- The need for high quality data permeates most information-centric programs, whether they depend on transactional, operational, or analytic applications. This white paper outlines the importance of maintaining data integrity, describes the data quality improvement process, and explores how data quality software solutions fit into that process.
- White papers 2006-06-01
- Data Quality, Compliance, and Risk for Financial Institutions
- Poor data quality is endemic in most financial institutions, with risk managers frequently citing a lack of clean, high-quality data as the biggest inhibitor to achieving their risk management and regulatory compliance objectives. To combat the problem, Informatica offers data quality scorecarding capabilities -- a metrics-driven...
- White papers 2006-11-01
- Data Quality: A Best Practices Presentation
- Many companies overlook the importance that data quality plays in successful business intelligence initiatives. Organizations expect to see a rapid return on their corporate investments, including data integration efforts, business intelligence applications and enterprise solutions. Yet, in the end, the results produced by these expensive projects are only as good...
- Webcasts
- Data Quality in the Outpatient Setting: Impact on Clinical Decision Support Systems
- Clinical Decision Support System CDSS performance may vary with the quality of the input data. The authors assessed the impact of medical record completeness and accuracy on a CDSS that provides risk assessment for gastrointestinal bleeding and recommends therapy when prescribing NSAIDs. They examined the documentation of six data elements...
- White papers 2006-03-15
- 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...
- White papers 2006-04-11
- Who's Asking?: Interviewers, Their Incentives, and Data Quality in Field Surveys
- In all surveys except self-administered ones, interviewers have a critical role in representing the study to respondents. Because most of their work is difficult or impossible to observe directly, historically research has largely been obliged to deal with "Interviewer effects" in data collection as a type of statistical artifact, rather...
- White papers 2006-06-06
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