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West Midlands Police Turns to DataFlux to Help Correct and Match Database Records, Using Technology to Keep the Community Safe

Through data quality and matching solutions, DataFlux helps West Midlands Police improve searches and aggregate records for a more accurate view of the criminals in its database.
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ExpertVision Webcast Series: Decision-Driven Data Management

Jim Harris

Join expert Jim Harris as he explores the factors involved with using data to make informed business decisions.
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Using Data Profiling, Data Quality and Data Monitoring to Improve Enterprise Information

Brett Dorr and Rich Murnane

This article examines how one organization met its data management challenges by analyzing data, creating repeatable routines to improve data quality and implementing controls to maintain data integrity.
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ExpertVision Webcast Series: Operationalize Data Quality Across Business Applications

Evan Levy

Join DataFlux Vice President of Consulting and Professional Services Evan Levy as he outlines the solutions required to “operationalize” data quality.
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TDWI Checklist Report: Real-Time Data Quality

Philip Russom, TDWI

This TDWI Checklist drills into the details and desirable use cases for real-time data quality to help organizations understand what’s available and when to use it.
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2011 Gartner Magic Quadrant for Data Quality Tools

Gartner

DataFlux has been placed in the Leaders Quadrant in the 2011 Magic Quadrant for Data Quality Tools published by Gartner.
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Advancing the Data Agenda: Roles and Responsibilities for Middle Managers

Thomas C. Redman

This white paper focuses on middle managers and their roles in managing business processes and external suppliers using a combination of technology and time-tested methodologies.
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High-End Retailer Turns to DataFlux to Improve Product Data Quality and Enhance Customers' Online Shopping Experience

DataFlux technology helps the company standardize its product descriptions, enabling better search results and driving more revenue.
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The Data Agenda: How to Assign Roles and Responsibilities for Data Quality Efforts

Tom Redman and Daniel Teachey

Data expert Tom Redman examines how organizations can assign the right roles to the right people to improve the quality of corporate information.
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Advancing the Data Agenda: Roles and Responsibilities in the Data Quality Trenches

Thomas C. Redman

This white paper addresses the importance of assigning the right people the right roles and responsibilities when it comes to data quality.
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Solvency II: Data Quality and Governance

Philip Howard and Nigel Stanley

This white paper focuses on the importance of data quality required to support the Solvency II directive.
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Three Critical Steps to Improving Product Data Quality

Jim Harris

This white paper describes a general approach for planning your organization's efforts to improve data quality.
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The Forrester Wave™: Enterprise Data Quality Platforms, Q4 2010

Rob Karel

DataFlux has been named a leader in the October 2010 report, The Forrester Wave™: “Enterprise Data Quality Platforms” by Forrester Research Inc.
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DataFlux ExpertVision Webcast Series: Data Profiling – The Foundation of Data Management

David Loshin and Daniel Teachey

Join David Loshin and Daniel Teachey as they discuss the techniques used by data profiling tools, the ways the analyses are performed and how those analyses can yield value in a number of application contexts.
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The Practitioner's Guide to Data Profiling

David Loshin

This white paper addresses data profiling techniques that can help the analyst understand the empirical truth associated with enterprise data.
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ExpertVision Webcast Series: Is Poor Data Governance Putting Your Company at Risk?

Phil Simon and DataFlux

Join Phil Simon for a real-world look at data risk, and how businesses tackle the challenge.
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Česká pojišt'ovna Uses DataFlux to Improve the Quality of its Data

DataFlux technology helps a Czech insurance company improve the quality of its enterprise data.
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PPL Successfully Orchestrates an Accurate Repertoire Database with Enterprise MDM

A leading UK-based music licensing company works with DataFlux and Deloitte to verify and validate millions of data records from multiple sources.
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DataFlux Delivers Improved Data Quality, Address Verification for the Miami Herald Media Company

The Miami Herald Media Company used the DataFlux data quality and data integration platform to improve and enhance the data that drives its Database Marketing division.
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TDWI Checklist Report: Product Data Quality

Philip Russom

This TDWI Checklist Report on Product Data Quality dives into data quality issues by pointing out the most pressing technology requirements for improving the quality of product data, as well as the business benefits of these improvements.
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Energy Exploration Company Sparks Improved Efficiency, More Accurate Reporting with Improved Data Quality

A leading independent oil and gas exploration and production company uses DataFlux to reduce errors flowing into a business-critical operational data store.
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Leading IT Company Integrates DataFlux into Its Data Infrastructure to De-duplicate, Cleanse and Standardize Customer Data

International technology company used DataFlux to remedy long-standing data quality issues, successfully standardizing worldwide customer address data and eliminating over one million duplicate records.
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Worldwide Healthcare Product Provider Uses DataFlux to Clean and Verify Customer Lists

DataFlux helps healthcare manufacturer reduce costs associated with returned shipments, invalid address information and duplicate customer records.
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Leading National Bank Chooses DataFlux Data Profiling and Data Quality to Power a Major Customer Information Initiative

Top-ranking bank selects DataFlux technology to achieve its goal of customer data integration and cleanse, de-duplicate and verify its customer data.
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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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National Appliance Retailer Relies on DataFlux to Transform Its Data

Using DataFlux technology, the company cleansed over 20 years’ worth of internal parts data – and transformed low-quality product data into an accurate, reliable customer-facing data source.
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DataFlux ExpertVision Webcast Series: The Value of Reliable Data in Insurance

Mike Ferguson and Dan Soceanu

Industry thought leader Mike Ferguson of Intelligent Business Strategies and Dan Soceanu from DataFlux look at the importance of reliable data to the insurance industry in this informative webcast. While focusing on the impact of poor data, they also discuss how an enterprise data quality approach can help you regain control of your 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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TDWI Checklist Report: Enterprise Data Management

Philip Russom

In this TDWI Checklist Report, Philip Russom offers advice on best practices for unifying diverse data management disciplines.
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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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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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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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Learn How to Standardize, De-duplicate and Validate Information in SAP through DataFlux Solutions

This webcast will demonstrate how you can use DataFlux Connect for SAP Solutions to add best-in-class data quality rules and controls to your SAP environment.
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In Business Intelligence, Data Quality is Job One — Or Should Be

In this podcast, DataFlux senior director of marketing, Daniel Teachey, discusses how companies can work to maximize the benefits of BI by investing in data quality.
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Bloor Market Update: Data Cleansing

Bloor Research

Bloor Research has named DataFlux as a “Champion” in this Data Cleansing Market Update.
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Bloor Market Update: Data Profiling

Bloor Research

In an evaluation of the data profiling market in this Market Update from Bloor Research, DataFlux has earned the position of Data Profiling “Champion.”
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Bloor Market Update: Data Discovery

Bloor Research

In this report from Bloor Research, DataFlux is recognized as a “Champion” in Data Discovery.
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Bloor Market Update: Data Quality Platforms

Bloor Research

In this report from Bloor Research evaluating Data Quality platforms, DataFlux was given the “Champion” Award.
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Leading Not-For-Profit Health Care Plan Uses DataFlux to Distill High-Quality Data from Its Records to Drive Enterprise Business Intelligence

This leading not-for-profit health care company selected DataFlux to create an accurate view of enterprise data.
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DataFlux Puts Zag on the Road to Improved Efficiency by Letting Business Users Drive a Standardization Initiative

Zag faced substantial development time whenever it received new inventory data and had to standardize the data. With DataFlux, the company eliminated that development time, freeing resources and gaining efficiencies.
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Data Quality Service Level Agreements

David Loshin and Dan Soceanu

This webcast with 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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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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Deploying Data Quality Tools Across the Enterprise: No Longer a Luxury

Gartner Research

In this report from Gartner Research, DataFlux President and CEO Tony Fisher examines why managing data quality is becoming a business-critical issue for many organizations.
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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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Defining Relevant Metrics for Populating a Data Quality Scorecard

David Loshin

In this webcast, David Loshin from Knowledge Integrity and Dan Soceanu from DataFlux explore ways to qualify data control and measures to support the governance program.
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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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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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SmartBase Solutions Relies on DataFlux Technology to Deliver Reliable, Standardized and Coded Data to its Clients

DataFlux partner SmartBase Solutions relies on DataFlux to ensure the quality of the data that its business is built on by integrating, cleansing and standardizing information from disparate sources.
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Data Management: Finding Common Ground between Business and IT

This newsletter, featuring Gartner Research, examines how an environment conducive to respect and cooperation within a company can go a long way in improving data quality.
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Implementing a Data Quality Strategy

Tony Fisher and Ted Freidman

In this informative web seminar, DataFlux President and CEO Tony Fisher and analyst Ted Freidman discuss some of the basic issues of data quality, master data management and data governance.
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Unifying the Practices of Data Profiling, Integration, and Quality (dPIQ)

Philip Russom

This monograph by Philip Russom of TDWI examines how to create be an integrated practice for data profiling, integration, and quality, succinctly named by the acronym dPIQ.
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BMC Software Enhances CRM Efforts Through Improved Data Quality

BMC Software used DataFlux to improving decision making for sales and business development by refining customer and prospect data.
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PITT OHIO EXPRESS Delivers Results with Improved Customer Data

PITT OHIO EXPRESS chose DataFlux to complete a customer data integration initiative, reducing 650,000 unique database entries into an accurate master repository of 10,000 records.
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Top-Ranked Insurance Company Empowers Business Users with Control over Data Quality

A Fortune 500 insurance company turned to DataFlux to make significant improvements in the accuracy and reliability of its data.
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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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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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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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Bell Mobility Makes a Strong Connection Through Better Data Management

Bell Mobility turned to DataFlux to remove duplicate entries and identify inaccessible contacts, resulting in more effective marketing and adding $1 million (CAD) each year in revenue to the bottom line.
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