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- Data Quality Drives Reinsurance Access
- This article explains how data quality in reporting of reinsurance transactions is emerging as an increasingly important issue in the exception and administration of reinsurance treaties. There are several drivers for the heightened requirement for data quality including reserve credit capacity, new oversight rules, and performance management requirements. It would...
- White papers
- Data Quality as a Boardroom Issue
- The powerful impact of data remains untapped in most organizations. Vital information lives throughout a company's corporate infrastructure from simple customer databases to complex Enterprise Resource Planning (ERP) systems and data warehouses. Yet despite its role as an invaluable resource, most organizations today put more value on infrastructure and high...
- White papers
- CRM's Weakest Link: Data Quality
- When you think of the CRM failure rate, what causes come to mind? Outdated business processes? Faulty project management? The CRM app itself? Good answers, but one of the most insidious risk factors for CRM failure is the quality of the data underlying the initiative. Data problems...
- White papers
- User Adoption, Data Quality, and Productivity Improve at ADTRAN With Salesforce
- ADTRAN needed to consolidate multiple systems. They also wanted to improve lead & opportunity management processes while replacing paper-based reporting; and required integrated and accurate marketing data. ADTRAN selected salesforce.com over Siebel OnDemand for global mobile CRM. As a result, ADTRAN experienced dramatic gains in data quality, user adoption, and...
- Case studies
- 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
- Implementing Data Quality Through Meta Data
- How are you addressing the single most difficult problem facing data warehouses? Data Quality. When the quality of data is compromised incorrect interpretation and use of information from your data warehouse can destroy the confidence level of its customers, your users. Once the user's confidence in your warehouse is eroded...
- White papers 2006-06-21
- Financial Compliance and Data Quality
- This White Paper considers the challenges that Basel II and other compliance initiatives pose for Financial Services Providers (FSPs). It contends that far from being a "Compliance chore," Basel II presents genuine opportunities for FSPs to increase profitability by improving their business strategies and pricing products and deals more accurately....
- White papers 2006-04-11
- Measuring And Improving Data Quality
- To improve quality for data customers, data managers need to be able to measure each "Quality attribute." Because measuring quality usually involves comparing recorded data to some independently collected "Gold standard," it is impractical to measure the quality of every piece of data. A better approach is to sample the...
- White papers 2005-06-01
- Purchasing, Content, and Supplier Enablement: One Size Does Not Fit All
- Without something to requisition and someone from whom to purchase or source - eProcurement is useless. There are three dynamics that drives decisions surrounding a sound catalog and content strategy - shopping method, data quality requirements, and catalog hosting method. This white paper explores these dynamics as well as the...
- White papers 2005-05-16
- Data Quality Issues and Solutions for Enterprise Energy Management Applications
- Enterprise energy management ("EEM") systems are delivering the information and control capabilities businesses need to effectively lower energy costs and increase productivity by avoiding power-related disruptions. This paper describes how dedicated data quality tools now available for EEM applications can be used to help ensure that the intelligence on which...
- White papers 2004-11-09
- Aquaware: A Data Quality Support Environment for Data Warehousing
- In the current economy the Data Warehouse constitutes a fundamental tool to support decision making processes. However, to take better advantage of enterprise information assets, it is necessary to rely on the information provided, or at least, that its reliability degree can be appropriately evaluated and considered during decision making....
- White papers 2004-08-16
- Data Quality Management: Oft-Overlooked Key to Affordable, High Quality Patient Care
- The Data Warehousing Institute estimates that data quality problems cost U.S. businesses more than $600 billion per year; health insurers (and providers) are not immune. According to the Healthcare Information and Management Systems Society (HIMSS), quality problems are connected to miss drug interactions, inadequate access to medical records, poor communication,...
- White papers 2004-07-22
- The Impact of Data Quality on Operational Risk Management
- Data is at the heart of managing operational risk, forming the information on which decisions are made. Good data often leads to visionary and profitable decision-making. Poor data quality is often the cause of bad strategic decisions and inaccurate financial and management reporting. Few would dispute the importance of high...
- White papers 2004-04-02
- Improving Reference Data Quality
- The financial industry is investing substantial money and time in an effort to remove reference data as the prime culprit behind an estimated 45% of trade failures (according to a recent Tower Group survey), but are the efforts underway the most effective at dealing with the specific problems reference data...
- White papers 2003-10-07
- Next Generation Warehousing With Version 9
- This paper covers the new data warehousing and management services available in Version 9 and shows how they help manage large, real-world ETL development environments. Topics covered include multi-user planning and administration, security management, the development-to-production lifecycle, deployment issues and scheduling, and the integration of data quality management.
- White papers 2003-08-09
- Better Data, Better Performance Management
- Dirty data renders analytics software useless. Improving data quality is an ongoing and expensive process, but data cleansing efforts can pay for themselves. The old maxim "Garbage in, garbage out" still holds true for data quality. All the money and effort companies pour into the latest analytical software tools are...
- White papers 2003-04-01
- The Art of Relationship Matching – Identifying Key Data Elements
- The theme of the article is defined in one sentence “A well-matched customer/prospect database is critical for optimal relationship matching. Without it, good customer relationships are jeopardized.” Truly knowing your customer is the first step in solving the challenges that confront any business. For this purposed first chore is to...
- White papers 2002-10-30
Additional Resources
- Data Warehousing Helps Enterprise Improve Quality Management
- Data warehousing is playing a more and more important role in Baoshan Iron & Steel Corporation, China. It collects and processes OLTP data from all functions of the company, and stores them in the Quality Management Data Warehouse subject by subject. The product quality engineers can now easily use the...
- White papers 2001-03-28
- CAD Data Quality
- In product design CAD data quality plays a major role in achieving the target date in the limited time for product life cycle development. Ensuring the quality of CAD data is necessary for data to be used within the product development process chain. A clean set of CAD data saves...
- White papers 2006-01-06
- Data Warehousing Quality - What It Takes
- The past few years have seen the rise of Business Intelligence solutions, such as data warehouses, data marts, OLAP tools, and data mining. Database cycle improvements dominate the thinking of IT professionals and their business partners as they strive to increase competitive advantage. The concept of a data warehouse is...
- White papers 2006-06-21
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