data quality

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Overall Approach To Data Quality ROI by SAP America Inc
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole. This paper from Business Objects examines an overall approach to data quality ROI
The Data Quality Ball by Pitney Bowes Business Insight
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
E-Guide: A Guide to Comprehensive Business Intelligence and Data Quality by Pitney Bowes Business Insight
The importance of data quality initiatives has become abundantly clear to many of today's organizations. In this expert E-Guide, you will gain insight into the essential role data quality now plays in an organizational data strategy. The importance of data quality
Avoiding Data Quality Failure: Identifying Data Quality by Pitney Bowes Business Insight
professional services firm concentrating on enterprise data issues. This discussion is about data quality and some of the challenges and pitfalls that are seen during data quality implementation. This presentation transcript features speaker Evan Levy, partner and co-founder of Baseline Consulting, a professional services firm
Developing A Universal Approach To Cleansing Customer And Product Data by SAP America Inc
Data quality has always been an important issue for companies, and this is even more the case today. This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with
Data Quality Management Software Product Directory - 2009 Edition by SearchDataManagement
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
The State of Data: Harnessing Core Data Issues to Improve Organizational Efficiency, Profitability and Competitive Advantage by SAS Institute Inc.
This Tech Briefing presents a series of insightful, timely articles that strike at the heart of data quality and data integration challenges. Included here is a close look at harnessing the exploding volumes of unstructured and semistructured data, which so many companies are struggling to tame and leverage for true business value. There is much
Observing Data Quality Service Level Agreements: Inspection, Monitoring, and Tracking by DataFlux Corporation
This paper discusses how implementing a DQ SLA via formalized processes can transform data quality management from a constant "fire-fighting" mode to a more consistent, proactive approach. This paper discusses how implementing a DQ SLA via formalized processes can transform data quality management from a constant "fire-
Avoiding Data Quality Failure: Identifying Data Quality Pitfalls Before They Happen by Pitney Bowes Business Insight
View this webcast and get expert advice for creating successful data quality management programs. Improving enterprise-wide information quality is not a cakewalk. To solve data quality issues effectively, new policies and technologies must be incorporated in operational processes, system development
SAP® BusinessObjects™ Data Services: One Product For Data Quality and Data Integration by SAP America Inc
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
Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation
if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance. Operational data governance is the manifestation of the processes and protocols necessary to ensure that an acceptable level of confidence in the data
Data Quality: A Survival Guide For Marketing by SAP America Inc
on these concepts as they pertain to marketing, and particularly as they are supported by data quality functions inside of the broader EIM framework. Direct marketing is about communicating a message to a specific prospect or customer. The success of that communication, measured in terms of a qualified lead that generates a sale, depends on
Implementing a Data Quality Strategy by DataFlux Corporation
Research Vice President Ted Fredman and DataFlux President and CEO Tony Fisher discuss the data quality issues facing business today as well as the solutions that can solve these problems. Organizations worldwide suffer from poor quality data, which can severely impact both day-to-day operations and strategic planning. Inconsistent
Populating a Data Quality Scorecard with Relevant Metrics by DataFlux Corporation
Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria.. Too often, data governance teams rely on existing measurements as the metrics used to populate a
Building a Data Quality Scorecard to Achieve Data Governance by DataFlux Corporation
Operational data governance is the manifestation of the actionable processes and protocols necessary to ensure that an acceptable level of confidence in the data effectively satisfies the organization's business needs. Operational data
Defining Relevant Metrics for Populating a Data Quality Scorecard by DataFlux Corporation
In this webcast your will learn how to Populate a Data Quality Scorecard with Relevant Metrics. In this webcast your will learn how to Populate a Data Quality Scorecard with Relevant Metrics and will also come across the questions about reporting data quality metrics like:

  • What is being measured?
Got Bad Data? Part 2 - Applying Business Analytics Webinar Series by SAS Institute Inc.
148;. In this latest installment, we'll be discussing the Business analytics framework, data quality as a process, data collection, following data flows and uses, data quality and metrics, and continuous learning and improvement. SAS presents part 2 of their webinar series “"Got Bad Data?”. In this latest installment, we'll be discussing:

  • What does Data Quality have to do with IT? Moving from Techno-Speak to Business Value by Pitney Bowes Business Insight
    offers a unique combination of location and communication intelligence software, data and services that can be used throughout an organization. We combine our deep industry knowledge with our strategic analysis offerings and apply our expertise to help you take action that leads to better, more insightful decisions. You
    Improving Product Data Quality and Spend Analysis through Commodity Coding by DataFlux Corporation
    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
    The Importance of a Single Platform for Data Integration and Quality Management by SAP America Inc
    are fighting a constant battle to integrate business data and content while managing data quality in their organizations. Compounding this difficulty is the growing use of workgroup computing and Web technologies, the storing of more data and content online, and the need to retain information longer for compliance reasons. These
    Leading Bank Chooses DataFlux to Create More Accurate, Complete Risk Reports by DataFlux Corporation
    dfPower® Studio to review and compare multiple data sources simultaneously through data quality and data integration workflows. Although decision-making was decentralized throughout the company, the bank's corporate headquarters still needed to create credit risk management reports that would allow those local decisions
    Reinsurance Company Improves Data Quality, Enhances Profitability with DataFlux by DataFlux Corporation
    DataFlux dfPower Studio combines several tools to help standardize incoming data and assist companies in building business rules into their system. This reinsurance company not only wanted to improve the quality of its data by standardizing the information, it also wanted to create business rules up front. The
    Enhanced Spend Management with Improved Data Quality by DataFlux Corporation
    Hart and Dan Soceanu of DataFlux discuss enhanced spend management and the importance of high data quality in 2009
    Enterprise Information Management by SAP America Inc
    environment. This white paper will discuss metadata management, master data management, data quality, and data migration... When faced with information management issues, particularly those in a cross-functional setting, many business and IT professionals turn, albeit often unwittingly, toward Enterprise Information Management (EIM). EIM is
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