Data quality best practices

and other indicators--are hampered by inconsistency among data sources, problems with data quality, an often cobbled-together approach to BI systems, and a lack of clarity about how to take the knowledge gleaned from BI initiatives and turn it into practical and positive changes to the business.

The purpose of this research was three

This paper examines how organizations are using a holistic data management perspective to optimize data usage regardless of where the information resides. It shows how when information is shared across the enterprise, business decisions are more robust, and decision makers have access to the widest

Inside this Data Quality Manage Product Directory, you'll find basic information about the major vendors in the data quality market and the products they sell. Each listing is accompanied by a short description and a summary including limited information about

identification of candidate applications and databases, project planning, migration best practices and available migration technologies. Many Oracle shops are seeking to rationalize their database costs through the use of open source technology. This podcast will cover the most popular questions and answers around Oracle database

is about using information management software from Business Objects, an SAP company, for SAP data migration projects, either for upgrades from one version of SAP to a newer one, or from other environments to SAP. This paper is about using information management software from Business Objects, an SAP company, for SAP data migration

costs and improve their IT efficiency by optimizing their core infrastructure and adopting best practices. This paper identifies which best practices are most effective in driving IT efficiency. The challenge of providing high-quality services on a 24 x 7 basis with limited budgets is something IT managers face even in the most robust economic

of Java development teams improve code quality and reduce development costs by adhering to best practices and company standards, catching problems before they reach QA, and, reducing the time needed for code reviews. You can include CodePro AnalytiX as part of a continuous or nightly-build process, seamlessly integrate it into any

easy-to-follow process, the steps in this process provide a blueprint to address product data quality issues, regardless of the originating application. As companies expand into new markets or add new products to their set of offerings, they face a new and varied set of challenges. Companies now have a more global competitive landscape

benefits of an integrated approach to requirements and quality management, as well as offer best practices for effective requirements-driven testing. Requirements management plays a critical role at virtually every stage of project development. Development teams that can consistently design projects using precise, measurable

In this report, IDC set out to define pervasive BI and its key indicators, highlight best practices for moving along the path to pervasive BI, and identify the five key factors that have the strongest influence on BI pervasiveness. These factors have positively influenced BI pervasiveness at some of the leading organizations in the

for no additional charge with your Oracle Premier Support subscription. Sean will share best practices and tips for leveraging My Oracle Support, to help you get the most value from your Oracle Database solution-helping you to better meet the needs of your own customers

Data doesn't have to be only fact driven and metric. Learn these five best practices to help you make sense and order out of a disparate collection of facts. Being factual, detail-oriented and data-driven is critical in today's metric-centric world but it does not have to be boring and lengthy. In fact, by finding the

View this webcast and explore different flavors of operational data integration architecture, from a simple data replication model to the most advanced enterprise data exchange infrastructure. In a world where the digital economy and globalization has changed the way businesses operate, data

field. Service Assurance on the other hand is primarily concerned with assuring IPTV service quality in a live operational environment. This paper focuses on providing a pragmatic set of test and measurement guidelines that can be implemented on a live operational IPTV service for the purposes of service assurance. The audience is

offers the prospect of facilitating the integration of voice communications with strategic data applications to increase worker productivity and gain competitive advantage.

Early adopters have learned that real-time applications, such as VoIP, are far more demanding of predictable network performance than the typical enterprise

This document is designed to help firms understand their data conversion options. It outlines what data is critical and must be converted for compliance purposes and business continuity, what data is not critical, the relationship between data conversion and reporting, and what to look for in a new

new products or features.

The overall development cycle becomes a verifiable and defensible best-practices environment in which documentation of sound security oversight helps prove corporate regulatory compliance and defend against potential tort liability. QA regains control over a critical area of what customers consider

application performance lifecycle management. SOA, governance and application development best practices are the underpinnings of a growing application performance validation market. Improving the quality and on-time delivery of software will always be a high-priority task. Significant revisions in how applications are built and consumed

data management (MDM) system enables organizations to lack a realistic way of applying vital data quality tools enterprise-wide. At the same time, companies are turning from traditional batch-oriented techniques to real-time data integration in order to eliminate the scourge of out-of-date data.

Read this E-Guide and explore a variety of suitable

management (MDM) by tying it to specific and broken business processes. Explore the importance of data quality management in delivering effective customer and master data as well as MDM market trends and expert forecasts for 2009

This white paper explains how data quality vendors must "turn their applications inside out" and allow its elements to be called as web services within other applications to remain competitive. Group 1 has done this by re-architecting its Customer Data Quality Platform product into

this paper to learn how your company can enjoy the benefits of better lead generation. Better quality leads means increased sales efficiency, but what constitutes a "quality" lead will be different depending on who you are asking. Sales and Marketing very rarely agree on what a "quality" lead really is. This disconnect is one of the main reasons

techniques. A majority of applications fail at some point due to both expected and unexpected quality errors. Without an effective monitoring system, organizations are unable to identify and provide actionable alerts in real-time when errors are detected. They are then unable to ensure optimal application availability and reliability.

since January 2005, according to Privacy Rights Clearinghouse. This paper outlines six best practices for corporations seeking to prevent enterprise data loss in order to protect revenue, limit customer attrition, and meet government regulatory requirements. Not only is the number of data thefts and losses due to security breaches

software for the enterprise information management market. The software unifies our leading data-quality and integration solutions - helping your organization to move, transform, and improve virtually any type of data anywhere, at any frequency. In today's world of huge data volumes and multiple, disparate data sources, business users often