Data Quality Management

expert Evan Levy, partner and co-founder of Baseline Consulting. Leading an enterprise-wide data quality management program is no easy task. Program managers must have a unique combination of skills to successfully implement and manage data quality initiatives. Data quality program managers need to be able to work well with both business and IT staff

defining data quality business rules both for monitoring and measuring, and supporting data quality management

the new database ▪ Support for all major databases ▪ ZERO Defect data Guarantee ▪ Data cleansing and data quality management ▪ Data integration with heterogeneous data sources ▪ Customized data transformations and extraction Our approach focuses on delivering an integrated solution that combines all the key components critical for a successful data

of the information powering your business is becoming a strategic imperative. Traditional data quality tools offer a poor fit, are frequently expensive to integrate into an existing infrastructure, and offer stitched-together solutions that are difficult to understand and manage. dn:Director is the next generation information quality

alone; you need to understand the underlying quality of the data contents. Datanomic's data quality management software, dn:Director, enables disparate views of data to be unified for MDM initiatives. By deploying Datanomic's holistic approach, dn:Director enables users to understand, improve, protect and control data standards across the

Data Profiling delivers a deeper and broader insight in a fraction of the time required by traditional approaches to data analysis. The need to analyze data is at the foundation of every effective data management strategy since the dawn of

implemented, nondisruptive, scalable, and comprehensive foundation for capturing data quality events as well as measuring and ultimately controlling data quality in the data warehouse. The industry has talked about data quality endlessly, but there have been few unifying architectural principles. This paper describes an easily

alone; you need to understand the underlying quality of the data contents. Datanomic's data quality management software, dn:Director, enables disparate views of data to be unified for MDM initiatives. By deploying Datanomic's holistic approach, dn:Director enables users to understand, improve, protect and control data standards across the

New Aberdeen research reveals that customer data quality is a sales and marketing leadership issue. Aberdeen found that over 70% of Best-in-Class firms are driven to improve customer data quality by competitive and profitability pressures ... New Aberdeen research reveals that customer data

Get updated information and data quality best practices, from expert Larry English. Find out how to get started, build a business case and structure program teams for data quality success. Successfully implementing information and data quality programs can be challenging -- often

processes rely on a solid, high-quality data foundation, but companies often neglect data quality until a major problem occurs that could've been avoided. Learn about the benefits and importance of da... Most manufacturers would never think of eliminating the quality control function from their production processes. Without quality

By using dn:Director to improve data quality and isolate data that is unreliable, organizations are able to optimize the return on investment in BI and Data Warehousing and maximize competitive advantage. Data Quality: The Key to Successful Business Intelligence The Trouble with

flawed data or erroneous data. Learn about the most common reasons that contribute to poor data quality and how to alleviate them. Poor data quality can play a significant role in eroding your company's bottom line and competitive advantage in the marketplace. Data corruption can occur due to a number of reasons, the following are the most

framework created out of our deep experience in the areas of data integration and enterprise data quality. Your data integration needs can be due to a:  Migration to a new system from an existing legacy data system.  Part of a data warehouse load process.  Data acquisition from another/existing business.  A part of a business process re-engineering

IT organizations and business information owners deploy Informatica Identity Resolution in data quality processes or embed identity data matching capabilities into third-party or custom-built enterprise applications. Easily integrated with the Informatica platform, the software leverages the platform's ability to deliver near

Data governance establishes policies and procedures for sharing data, as well as improving data's quality, structure, and auditability. Many organizations are turning to data governance, which establishes policies and procedures

SAS provides the broadest, deepest range of offerings for performance management. SAS provides the broadest, deepest range of offerings for performance management. Its software is built on a unified platform that brings together all the elements needed for effective Performance Management: quality data from across

facilitated awareness to the taxpayer. A proper communications management system eliminates data quality problems, offers comprehensive compliance analysis, and reduces DOR operating costs

that can address their various requirements - end-to-end performance, security, data quality, multiple databases, and applications. Check out this survey from IDUG to learn what your peers are doing to improve database performance and overall corporate performance

assistants, code generation, and connectivity to thousands of devices, LabVIEW makes gathering data as simple as possible. NI LabVIEW is an open environment designed to make interfacing with any measurement hardware simple. With interactive assistants, code generation, and connectivity to thousands of devices, LabVIEW makes gathering

is designed to help companies identify and understand the benefits of using Informatica for data migration and ways to maximize those benefits. As companies look to leverage CRM, ERP and BI applications to deliver value, much depends on the accessibility and fidelity of the data within these applications. Most projects involve

The Optim Test Data Management Solution offers proven capabilities to optimize test data management processes. Now you can create "right-sized" test databases with minimal cost and effort. Optim helps companies improve application quality, speed time to

pricing on data conversions. There are a number of reasons that you would want to convert your data. ▪ Data acquisition from another/existing business ▪ Part of a data warehouse load process ▪ Migration to a new system from an existing legacy data system ▪ Part of a business process re-engineering ▪ Consolidation of existing data systems Data

If your business is ready to begin developing an integrated, centralized view of information across your enterprise, consider getting started with Information Agenda Foundational Tools. If your business is ready to begin developing an integrated, centralized view of information across your enterprise, consider getting

to provide voice packets priority access to resources, or it can be used to differentiate data packets from different application stream and provide access to resources according to policy. QoS can be used in converged networks to provide voice packets priority access to resources, or it can be used to differentiate data packets