Resources
BNET Resources
- sort by:
- Relevance
- Date
- Popularity
- 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
- 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
- Application of Pressure-Based Wall Correction Methods to Two NASA Langley Wind Tunnels
- This paper is a description and status report on the implementation and application of the WICS wall interference method to the National Transonic Facility NTF and the 14x22-ft subsonic wind tunnel at the NASA Langley Research Center. The method calculates free-air corrections to the measured parameters and aerodynamic coefficients for...
- White papers 2001-08-20
- 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
- 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
- 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 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
- 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 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
- 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
- Informatica Shaping Up As Likely Acquisition Target
- Consolidation isn't just something that happens to physical things like data centers. It's also a phenomenon affecting financial services and other industries that are among the biggest consumers of IT products and services. Ivan Chong, general manager of Informatica's data quality business unit, explained that different financial...
- Blog posts 2009-03-19
- Take Out the Garbage | BTalk Australia
- Is poor quality data costing you money? Most businesses in Australia believe so but almost half have no idea just how big the problem is. Today on BTalk Australia Phil Dobbie talks to Matt Glasner, General Manager of Experian QAS for Australia and New Zealand, about how...
- Blog posts 2008-07-16
- "Customer Data Quality Platform"
- Pitney Bowes Customer Data Quality Platform CDQP is a domain-specific customer data quality management system that enables tasks such as integration, cleansing, matching, profiling, monitoring, and enriching the data with location and demographic information. For most B2C companies, accurate customer data and a single consolidated view of the customer is...
- White papers 2009-08-19
- Building a Data Quality Scorecard for Operational Data Governance
- " Operational data governance is the manifestation of the processes and protocols necessary to ensure that an acceptable level of confidence in the data effectively satisfies the organization's business needs. In this white paper, David Loshin from Knowledge Integrity examines how a data governance program defines the roles, responsibilities, and...
- White papers 2008-10-09
- 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
- 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
- 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
- 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
Additional Resources
- Factual Sees Open Data As its Future
- First there was open source. And here comes open data. Or that's what Gil Elbaz thinks. He is returning to the start-up arena with a new Los Angeles-based start-up called Factual, that is building its business around the concept of open data. The company wants to help build open databases...
- News items 2009-10-13
- The Healthcare Cost and Utilization Project: An Overview
- The Healthcare Cost and Utilization Project HCUP was established by the Agency for Healthcare Research and Quality AHRQ to provide multistate, administrative, population-based data that include information on both insured and uninsured patients in a uniform format. The data are designed for health services research to improve health care delivery...
- White papers 2002-06-11
- << Previous
- page 1 of 1
- Next >>
