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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Solutions offered by DataFlux Corporation.
Research offered by DataFlux Corporation
A Guide to the Value of Reliable Data in Retail Banking by DataFlux Corporation. November 02, 2009 - This paper examines the impact of unreliable data on retail banks. Defining the requirements needed to guarantee data reliability in retail banking, it offers a practical approach to creating and governing that data, and shows how you can get started in making trusted data available to improve marketing, customer service, risk management and more.
Advancing the Data Agenda: Roles and Responsibilities in the Data Quality Trenches by DataFlux Corporation. January 31, 2011 - It is high-minded to observe that any data program requires a full partnership between business and IT. The real world is more mundane and far more demanding than that. Indeed, success with any data program depends on getting the right groups involved and assigning the right people the right roles and responsibilities. Read on to learn more.
An Introduction to Analytical MDM: master data management for BI data by DataFlux Corporation. March 18, 2011 - In this eBook, IT, BI and data management professionals will get an overview of analytical MDM and learn how to develop and manage a successful program for mastering their BI data. Get insight and advice on analytical MDM’s potential benefits, challenges to watch out for and combining it with operational MDM for a full enterprise approach.
Bell Rings in Improved Customer Address Information by DataFlux Corporation. February 28, 2011 - Canada's largest communications company used Modern Analytics and DataFlux technology to de-duplicate records and gain an accurate view of domestic dwellings.
Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation. June 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 Data Quality Efforts Into Everyday Processes by DataFlux Corporation. July 06, 2012 - Poor data quality at the most minor level can have major ramifications. Read this expert e-book to gain advice on how to make data quality a high priority in your day-to-day business operations. Discover tips on implementing internal data quality standards and how to train users on data quality best practices.
Data Governance for Master Data Management and Beyond by DataFlux Corporation. March 2008 - There are many different perceptions of what is meant by the term, data governance. Read this paper to learn the objectives of data governance and how to manage the many different kinds of risks that lurk within the enterprise information portfolio.
Data Profiling: The Foundation for Data Management by DataFlux Corporation. March 2008 - Data profiling is the beginning of an effective data management strategy. Although profiling techniques provide an essential first step, there is much more to a complete data management strategy.
Data Quality by the Numbers: Best Practices for Managing Business Data by DataFlux Corporation. March 2008 - Find out how data quality technologies can be customized to support a broad variety of business data and provide the same capabilities -- data profiling, data quality, data integration, data enrichment and data monitoring -- that govern customer data.
Data Quality: Standardize, Validate and Improve Your Information Assets by DataFlux Corporation. March 2008 - This paper will cover techniques for implementing the processes and technology necessary to correct and standardize information-and teach you a process to improve business processes to consistently produce accurate and reliable information.
DataFlux Delivers Improved Data Quality, Address Verification for the Miami Herald Media Company by DataFlux Corporation. February 28, 2011 - 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.
DataFlux Positioned in Leaders Quadrant of the 2010 Magic Quadrant for Data Quality Tools by DataFlux Corporation. July 29, 2010 - DataFlux was recently positioned by Gartner, Inc. in the Leaders Quadrant of its 2010 “Magic Quadrant for Data Quality Tools” report. Gartner’s Magic Quadrants evaluate vendors within a particular technology market based on their completeness of vision and ability to execute. Use this Magic Quadrant to understand the data quality tools market.
DataFlux Version 8: Accelerate to Compliance, Data Governance and MDM by DataFlux Corporation. March 2008 - Learn how a data integration and data quality provider can help speed your efforts to achieve data governance, master data management (MDM) and compliance.
Enterprise data governance: How to succeed where others have failed by DataFlux Corporation. August 16, 2011 - This eBook, written for IT and data management professionals as well as business executives, will provide readers with tips and advice on how to avoid the missteps that can lead to enterprise data governance failures.
Getting Started With Master Data Management by DataFlux Corporation. May 18, 2012 - In this e-book, SearchDataManagement.com editor, Mark Brunelli, discusses the ins-and-outs of developing a solid MDM plan for ensuring accurate and consistent data across all your company's systems. Read on to learn best practices, tips and advice from experts on how to structure and manage a MDM program
How to Get Funding for Data Quality Programs by DataFlux Corporation. June 04, 2012 - Read this exclusive e-book to find tips on how to build a case and gain approval for implementing a program to increase your data quality. Also find information on how to best assess and manage your data, as well as evaluating whether or not data quality software is right for you.
Leading Bank Chooses DataFlux to Create More Accurate, Complete Risk Reports by DataFlux Corporation. January 14, 2009 - Read how one of the largest banks in the southeast chose DataFlux dfPower® Studio to review and compare multiple data sources simultaneously through data quality and data integration workflows.
Lessons Learned: Survey of Financial Services Companies Uncovers Data Governance Trends by DataFlux Corporation. January 22, 2010 - In the summer of 2009, DataFlux conducted a survey to understand data management trends in the financial services industry. The research examined how this industry is approaching managing its data, the breadth and depth of data governance in this sector, what motivates data management strategies, and more.
Mortgage Company Uses DataFlux Technology to Improve Reporting, Manage Compliance by DataFlux Corporation. January 14, 2009 - Read how using DataFlux technology, this financial company implemented a data governance program, creating more complete and accurate data and drastically reducing the time needed to comply with Federal reporting regulations.
Observing Data Quality Service Level Agreements: Inspection, Monitoring, and Tracking by DataFlux Corporation. December 2008 - 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.
PPL Successfully Orchestrates an Accurate Repertoire Database with Enterprise MDM by DataFlux Corporation. February 28, 2011 - A leading UK-based music licensing company works with DataFlux and Deloitte to verify and validate millions of data records from multiple sources.
Realize Unparalleled Business Value from Enterprise Data by DataFlux Corporation. January 31, 2011 - This white paper introduces and examines a breakthrough platform solution designed to drive parallel-process data integration – without intensive pre-configuration – and support full-lifecycle data management from discovery to retirement.
The Data Governance Maturity Model by DataFlux Corporation. July 2007 - 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.