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Overview: DataFlux offers complete, end-to-end data management solutions for organizations that want to realize more tangible, immediate value from their information assets.
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Accelerating Enterprise Data Governance - Part 2: A Methodology for Building "Accelerator" Data Services by DataFlux Corporation
July 2008 - In this paper we will focus on the last of the three key foundational elements - the set of data governance services that execute on the data management platform to explore, analyse, improve and monitor data.
Accelerating Enterprise Data Governance Part 3 by DataFlux Corporation
October 2008 - This third paper in the Accelerating Enterprise Data Governance series looks in detail at what one vendor, DataFlux, is delivering in the way of pre-built services to expedite the time to implement enterprise data governance.
Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation
July 2008 - Operational data governance is the process of evaluating data to see if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance.
Building a Data Quality Scorecard to Achieve Data Governance by DataFlux Corporation
January 06, 2009 - 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.
Defining Relevant Metrics for Populating a Data Quality Scorecard by DataFlux Corporation
January 06, 2009 - In this webcast your will learn how to Populate a Data Quality Scorecard with Relevant Metrics.
Five Steps to More Valuable Enterprise Data by DataFlux Corporation
March 2008 - This white paper explores a five-phase methodology to analyze, improve and control corporate data. Learn how to improve decision-making and gain competitive edge with five essential factors that encompass the building blocks of data quality integration.
Getting Started with Master Data Management by DataFlux Corporation
January 2009 - This paper focuses on what is master data, why it is needed, how to get started in managing it, and methodologies for implementing master data management.
Implementing a Data Quality Strategy by DataFlux Corporation
January 06, 2009 - In this program Gartner 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.
Improving Product Data Quality and Spend Analysis through Commodity Coding by DataFlux Corporation
June 2008 - The DataFlux Accelerator for Commodity Coding is an innovative technology built on an easy-to-follow process, the steps in this process provide a blueprint to address product data quality issues, regardless of the originating application.
Managing and Integrating Data in an SAP Environment by DataFlux Corporation
December 2007 - This whitepaper takes a closer look at SAP applications, SAP infrastructure technologies and the impact of poor data quality in a SAP environment.
Master Data Management funding: Steps to getting executive support for your MDM project by DataFlux Corporation
December 2008 - In this expert podcast, Rob Karel, Principal Analyst at Forrester Research, offers steps to creating a business case for MDM that will include a speedy path to ROI, as well as business value demonstrations.
Measuring the ROI of Data Governance by DataFlux Corporation
January 06, 2009 - In this webcast you will learn about Data Governance, Data Maturity and the Road to Data Governance.
Observing Data Quality Service Level Agreements: Inspection, Monitoring, and Tracking by DataFlux Corporation
January 2009 - 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.
Populating a Data Quality Scorecard with Relevant Metrics by DataFlux Corporation
June 2008 - 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..
The Data Governance Maturity Model by DataFlux Corporation
January 2008 - The success of a business is increasingly tied to the quality of their information. Through the Data Governance Maturity Model, organizations can identify precisely how they can create an environment that can deliver and sustain high-quality information.
The Four Imperatives of Data Governance Maturity by DataFlux Corporation
October 2008 - This monograph by Philip Russom of TDWI examines the four requirements to increasing the maturity of data governance initiatives - and how these efforts can help companies effectively maintain and manage their mission-critical data.
The ROI of Data Governance: A Revenue Generation Perspective by DataFlux Corporation
June 2008 - Read this whitepaper to learn more about data governance, and when it is appropriate to measure data efforts with ROI or other metrics. Learn about an ROI calculator of data governance and how to test assumptions about data.
Zero to Five: A Stepwise Progression for MDM and Data Governance by DataFlux Corporation
December 2007 - This webcast will describe the evolution of Master Data Management (MDM). Explore the various levels of MDM functionality, how they build on one another, and how MDM maturity accelerates data governance maturity.
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