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Governance, Risk and Compliance Series – The Role of Data Governance in GRC

Mike Ferguson

In this paper, which is the first in a series on governance, risk and compliance, Mike Ferguson addresses what is needed to govern data and how that feeds into GRC from a business perspective.
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Data Management Requirements for Physician Payment Transactions

David Loshin

In this white paper, David Loshin from Knowledge Integrity explores the data management requirements necessary to support compliance with the reporting requirements for physician payment transparency and disclosure in the Patient Protection and Affordable Care Act of 2009.
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Identity Resolution for Data Quality and Master Data Management

David Loshin

In this paper, David Loshin from Knowledge Integrity explores the root cause of the “dual challenge” of identity resolution, examines how parsing and standardization contribute to the process, and reviews different ways that similarity scoring and approximate matching algorithms can help determine and resolve identical entities despite variant representations.
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Parsing and Standardization

David Loshin

In this paper, David Loshin from Knowledge Integrity looks at common data error paradigms – descriptions, examples, and ways that data set quality is impacted by those common root causes for introducing errors. He then considers aspects of metadata management that help to limit the scope of introduced errors, and then how that metadata is used by parsing and standardization utilities to normalize data.
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Data Quality and Cost Reduction

David Loshin

This paper by David Loshin of Knowledge Integrity reviews aspects of cost reduction and examines some typical financial accounting expense categories.
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Data Management Methodology: A Do-It-Yourself Guide for High-Value Data Across the Enterprise

This DataFlux white paper explores a new methodology for integrating data management principles into the organization and creating more accurate, integrated and controlled data to support every part of the business.
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De-Risking Data Migration: The Case for Data Quality Technology

Dylan Jones

This white paper by Dylan Jones provides practical advice that will help the reader understand the pivotal role data quality technology must play in a data migration.
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Finding an Upside in the Downturn with Data Quality

Ovum

In the current macroeconomic malaise, CIOs are left scratching their heads on how to sustain and fund important information management projects such as master data management (MDM) and data quality. This paper from Ovum, a leading research firm in technology, telecommunications and other business sectors, argues against cutting into these projects too deeply.
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Data Migration for Project Leaders

Dylan Jones

This guidebook by Dylan Jones of Data Quality Pro examines exactly what responsibilities and activities project leaders should fulfill in data migration projects.
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A Guide to the Value of Reliable Data in Retail Banking

Mike Ferguson

This paper by Mike Ferguson of Intelligent Business Strategies examines the impact of unreliable data on retail banks. He defines the requirements needed to guarantee data reliability in retail banking and offers a practical approach to creating and governing that data.
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A Guide to the Value of Reliable Data in Insurance

Mike Ferguson

Mike Ferguson looks at the importance of reliable data to the insurance industry, focusing on the impact of poor data. He discusses how an enterprise data quality approach can help get you back control of your data.
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Unlock Information Management

Jean-Christophe Steels and Jean-Paul Otte, Business & Decision

This paper describes enterprise information management (EIM) as a significant enabler of higher competitiveness and introduces an agile EIM implementation approach.
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A Guide to the Value of Reliable Data in Manufacturing

Mike Ferguson

This white paper by Mike Ferguson from Intelligent Business Strategies explores how reliable, trusted data can contribute significantly towards reducing unnecessary operational costs, avoiding customer dissatisfaction and cash flow problems for manufacturing companies.
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Lessons Learned: Survey of Financial Services Companies Uncovers Data Governance Trends

This white paper explores the findings of a 2009 survey commissioned by DataFlux to understand data management trends in the financial services industry.
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Commodity Coding: Code It or Buy (Too Much of) It

Joyce Norris-Montanari

Commodity classification can yield tremendous benefits - and with some thought, preparation and the right technical skills, those rewards can extend throughout your organization.
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Data Migration Handbook for Business Leaders

Dylan Jones

This guidebook by Dylan Jones provides simple, tried and tested techniques that will help business leaders fully understand their pivotal part in delivering a successful data migration project.
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Five Models for Data Stewardship

Jill Dyché

This white paper by Jill Dyché of Baseline Consulting explores five alternate models for building a successful data stewardship culture.
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Customer Centricity, Master Data and the 360-Degree View

David Loshin

A “360-degree view of the customer" has turned it into the holy grail of comprehensive customer intelligence.
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Data Best Practices for Spend Analysis

David Loshin

David Loshin of Knowledge Integrity looks at the business drivers and organizational objectives of a spend analysis program.
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Improving the Accuracy of Spend Analysis through Data Quality

This white paper offers practical advice on how data quality technology can be used to address spend analysis issues.
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Data Quality Remediation

David Loshin

This white paper by David Loshin from Knowledge Integrity reviews the required pieces of an immediate action plan for data stewards to correct data errors when those errors are identified.
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The Three Key Phases for Data Migration - and Beyond

This white paper examines how data management technology can solve data migration issues through a three phase process of analyzing, improving and controlling data.
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Enterprise Data Governance - How Established Is It in the Marketplace?

Mike Ferguson

Mike Ferguson from Intelligent Business Strategies analyzes the results of a 2008 online survey to form a picture of where companies worldwide stand with their data governance initiatives.
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Understanding Data Governance ROI: A Compliance Perspective

Gwen Thomas

This white paper from Gwen Thomas examines the role of data governance programs in supporting compliance efforts.
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The ROI of Data Governance: Seven Ways Your Data Governance Program Can Help Save You Money

Gwen Thomas

Gwen Thomas outlines seven ways that data governance and stewardship programs can help manage costs, and defines a mechanism for quantifying the ROI for those contributions.
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Observing Data Quality Service Level Agreements

David Loshin

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.
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Building Data Quality into an SAP Infrastructure

This white paper examines the general principles of data quality as they apply to ERP systems and how the unique types of data quality management in ERP can complement and enhance each other if approached with the right technology.
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Populating a Data Quality Scorecard with Relevant Metrics

David Loshin

This white paper by David Loshin explores ways to qualify the data control and measures that support a data governance program, resulting in a way to determine the measurable business value of fixing data quality issues.
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The Four Imperatives of Data Governance Maturity

Philip Russom

This monograph by Philip Russom of TDWI examines the four requirements to increasing the maturity of data governance initiatives.
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The ROI of Data Governance: A Revenue Generation Perspective

Gwen Thomas

This white paper from Gwen Thomas of the Data Governance Institute provides a practical guide for determining ROI for data governance.
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Building a Data Quality Scorecard for Operational Data Governance

David Loshin

David Loshin from Knowledge Integrity examines how a data quality scorecard provides an effective management tool for monitoring organizational performance.
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Getting Started with Master Data Management

Mike Ferguson

This white paper from Mike Ferguson of Intelligent Business Strategies defines master data, examines why it is needed, and explores methodologies for implementing master data management.
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Accelerating Enterprise Data Governance Part 3

Mike Ferguson

In the third of this series, Mike Ferguson looks at DataFlux Accelerators and how they can expedite the time to implement enterprise data governance.
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Accelerating Enterprise Data Governance Part 2

Mike Ferguson

In the second of this series of three white papers, Mike Ferguson of Intelligent Business Strategies examines the importance of having automated data governance services.
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Accelerating Enterprise Data Governance Part 1

Mike Ferguson

In the first of this series of three white papers, Mike Ferguson of Intelligent Business Strategies defines what data governance is and then looks at the requirements that need to be met for full data governance to be implemented.
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Coordinating MDM Stakeholders

David Loshin

This white paper by David Loshin looks at the different individual roles within the organization that are associated with master data management.
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MDM Components and the Maturity Model

David Loshin

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.
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Managing and Integrating Data in an SAP Environment

Mike Ferguson

This white paper by Mike Ferguson of Intelligent Business Strategies looks at the impact of poor data quality on SAP applications and SAP infrastructure technologies.
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Master Data Management and the Functional SOA Service Layer

David Loshin

This white paper by David Loshin explores the symbiotic relationship between MDM and SOA, and how you can effectively create a strategy that encompasses both of these initiatives.
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The Data Governance Maturity Model

This DataFlux white paper introduces the Data Governance Maturity Model and explains how your organization can use it to understand the major issues of building better data across the enterprise.
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Data Profiling, Data Integration and Data Quality: The Pillars of Master Data Management

David Loshin

This white paper by David Loshin, published in association with the Business Intelligence Network, shows how data profiling, data integration, and data quality can build a stable framework for master data management.
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Data Governance for Master Data Management and Beyond

David Loshin

This white paper by David Loshin examines how the definition, oversight and adherence to information policies and procedures can create value across the enterprise beyond the immediate benefits of regulatory compliance.
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An Enterprise Data Management Overview

Michael F. Jennings

This executive brief outlines the components of a successful EDM strategy.
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The Importance of Data Governance and Stewardship in Enterprise Data Management

Anne Marie Smith

This executive brief by Anne Marie Smith outlines the role of data governance in enterprise data management.
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Meta Quality: The Data Quality and Metadata Bond

Michael F. Jennings

This executive brief by Michael F. Jennings outlines the connection between metadata and data quality.
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Master Data Management - Modeling and Consolidation

David Loshin

After getting executive approval for your MDM project, the next step is designing an effective system. This white paper by David Loshin shows you how to take that step.
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Data Ownership and Enterprise Data Management: Implementing a Data Management Strategy

Mike Ferguson

In the third in a three-part series by Mike Ferguson, president of Intelligent Business Strategies, looks at the key components needed to get control of your data.
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Data Ownership and Enterprise Data Management: Leveraging Technology to Get Control of Your Data

Mike Ferguson

This white paper discusses the benefits of an enterprisewide technology suite and how your organization can leverage this technology to identify and solve various problems associated with a lack of data ownership.
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Data Ownership and Enterprise Data Management: Is Your Data Under Control?

Mike Ferguson

In the first of a three-part series by Mike Ferguson, president of Intelligent Business Strategies, addresses the issue of data ownership and enterprise data management.
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Semantics, Metadata and Identifying Master Data

David Loshin

This white paper by David Loshin, president of Knowledge Integrity, helps you learn the keys to locating and understanding relationships between data elements.
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Launching Your CDI Program: The Pitch, The People, The Plan

Jill Dyché and Evan Levy

From initial buy-in to project start-up, the things you do at the beginning of an IT initiative often determine the level of your success.
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Data Profiling: The Diagnosis for Better Enterprise Information

This DataFlux white paper explains the types of analysis that data profiling can provide - and how data profiling fits into an overall data improvement strategy.
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Master Data Management: Challenges to Success

David Loshin

In this white paper, David Loshin from Knowledge Integrity outlines the operational, organizational and technology challenges associated with MDM projects.
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Data Monitoring: Add Controls to your Data Governance Program

Data monitoring provides the confidence and assurance that once you fix your data problems, they will remain within limits.
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Master Data and Master Data Management: An Introduction

David Loshin

This white paper, by David Loshin of Knowledge Integrity, discusses how organizational information integration, management and sharing comprise a master data management program.
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Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise

TDWI

This report from TDWI's evaluates the recent evolution of data integration tools and methodologies.
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Data Quality and the Bottom Line

TDWI

This report is from TDWI's 2002 series on data quality, compiled based on interviews with industry experts, customers and survey data, examines the costs of data quality problems.
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