DataFlux

Displaying 1-6 of 6 results

  • White Papers // Aug 2009

    Customer Centricity, Master Data and the "360-Degree View"

    When reviewing the popular literature on customer data integration and master data management, a frequently recurring business driver is the ability to establish a "360-degree view of the customer." This concept has turned into the holy grail of comprehensive customer intelligence. This paper will provide a list of questions that...

    Provided By DataFlux

  • White Papers // Jan 2009

    Observing Data Quality Service Level Agreements

    This white paper by David Loshin from Knowledge Integrity examines how to measure data quality and what to do when the data does not meet the level of acceptability. When a data quality service level agreement is in place, when issues are logged in a data quality incident tracking system,...

    Provided By DataFlux

  • White Papers // Jan 2009

    Populating a Data Quality Scorecard with Relevant Metrics

    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, it is difficult to determine how to react to emergent data quality issues -...

    Provided By DataFlux

  • White Papers // Oct 2008

    The ROI of Data Governance - A Revenue Generation Perspective

    "Concentrating on increasing revenue necessarily means paying attention to metrics such as return on investment (ROI). This white paper from Gwen Thomas of the Data Governance Institute provides a practical guide for determining ROI for data governance, data quality, metadata, master data, or other data-related programs, projects or ongoing processes....

    Provided By DataFlux

  • White Papers // Oct 2008

    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...

    Provided By DataFlux

  • White Papers // Oct 2008

    MDM Components and the Maturity Model

    Any effective master data management program requires a mix of technologies to achieve success. This white paper by David Loshin provides a conceptual outline of technical MDM components and examines how those components relate to the levels of organizational maturity determined by the ability to provide MDM services. This model...

    Provided By DataFlux

  • White Papers // Jan 2009

    Observing Data Quality Service Level Agreements

    This white paper by David Loshin from Knowledge Integrity examines how to measure data quality and what to do when the data does not meet the level of acceptability. When a data quality service level agreement is in place, when issues are logged in a data quality incident tracking system,...

    Provided By DataFlux

  • White Papers // Jan 2009

    Populating a Data Quality Scorecard with Relevant Metrics

    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, it is difficult to determine how to react to emergent data quality issues -...

    Provided By DataFlux

  • White Papers // Aug 2009

    Customer Centricity, Master Data and the "360-Degree View"

    When reviewing the popular literature on customer data integration and master data management, a frequently recurring business driver is the ability to establish a "360-degree view of the customer." This concept has turned into the holy grail of comprehensive customer intelligence. This paper will provide a list of questions that...

    Provided By DataFlux

  • White Papers // Oct 2008

    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...

    Provided By DataFlux

  • White Papers // Oct 2008

    MDM Components and the Maturity Model

    Any effective master data management program requires a mix of technologies to achieve success. This white paper by David Loshin provides a conceptual outline of technical MDM components and examines how those components relate to the levels of organizational maturity determined by the ability to provide MDM services. This model...

    Provided By DataFlux

  • White Papers // Oct 2008

    The ROI of Data Governance - A Revenue Generation Perspective

    "Concentrating on increasing revenue necessarily means paying attention to metrics such as return on investment (ROI). This white paper from Gwen Thomas of the Data Governance Institute provides a practical guide for determining ROI for data governance, data quality, metadata, master data, or other data-related programs, projects or ongoing processes....

    Provided By DataFlux