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The Real Cost of Bad Data: Six Simple Steps To Address Data Quality Issues by Information Builders

July 02, 2013 - (Free Research)
Inadequate data governance can cost millions. From regulatory fines for systems and control failures, to any other number of factors, the cost quickly adds up. View this resource to learn more about how your organization can effectively manage data quality. 
(WHITE PAPER) READ ABSTRACT |

Busting 7 Myths about Data Quality Management by Information Builders

November 01, 2011 - (Free Research)
In recent years, more organizations have fixated on improving the quality of their data – but one of the major obstacles holding them back are the myths about what makes up an effective strategy. Review this paper to learn the top 7 myths and tips on how to craft an effective data quality management strategy. 
(WHITE PAPER) READ ABSTRACT |

Optimizing Data Quality in the Enterprise by Information Builders

August 01, 2012 - (Free Research)
It is estimated that 75% of large organisations currently face serious business challenges due to low quality data – and the consequences can be devastating. Access this paper to learn simple strategies that can substantially improve your company's data quality. Learn how to manage the lifecycle of quality data, and more. 
(WHITE PAPER) READ ABSTRACT |

Implementing Real-Time Data Quality Management by Information Builders

August 01, 2012 - (Free Research)
Poor data quality can be harmful to your enterprise in more ways than one -- 53% of companies with poor data quality face serious problems when implementing new systems and applications and 29% experience income loss. Access this paper to discover how real-time data quality management can help mitigate these risks and give you peace of mind. 
(WHITE PAPER) READ ABSTRACT |

Data Quality Management: The Key to Successful Predictive Analytics by Information Builders

August 01, 2012 - (Free Research)
As more and more companies begin to leverage predictive analytics to improve their business intelligence strategies, it's becoming evident that effective predictive models begin with data quality management. Read on to learn more about the impact data quality has on predictive analytics and how to easily improve your data quality. 
(WHITE PAPER) READ ABSTRACT |

FMCG Suppliers: How to implement a GS1-compliant Data Quality Management System by LANSA

February 21, 2014 - (Free Research)
This comprehensive report details the consequences of bad product data quality and explores best practices for implementing a data quality management system that's compliant with the global standards body GS1. 
(WHITE PAPER) READ ABSTRACT |

Data accuracy and the bottom line: Making the case for proactive data quality by Melissa Data Corp

January 17, 2013 - (Free Research)
This exclusive guide outlines key data quality challenges, the business ramifications of poor data quality, and steps to implementing a forward-thinking data quality approach. 
(EGUIDE) READ ABSTRACT |

Kick-Starting Your Data Quality Program by SearchDataManagement

July 15, 2013 - (Free Research)
This handbook offers tips and strategies for balancing manual and automated data quality processes, building a business case for purchasing data quality tools and creating an effective data quality program. 
(WHITE PAPER) READ ABSTRACT |

Tactical Data Quality: How to improve data quality with a tight budget by Talend

March 24, 2011 - (Free Research)
In this e-book, you'll learn how to manage data quality efforts during an economic downturn and find out what trends are emerging in the data quality market. You’ll also learn about common mistakes, the financial costs of poor data quality and how data quality tools and strategies can improve data quality. 
(EBOOK)

The Unique Requirements of Product Data Quality by Silver Creek Systems

July 2008 - (Free Research)
TDWI explores traditional approaches to data quality, which focus on well structured data, and shows why these do not work with less structured product data. Read about Product Data's unique requirements and how to address them. 
(WHITE PAPER) READ ABSTRACT |

E-Guide: Gartner Magic Quadrant: Oracle and SAP prepare for data quality battle by SAP America, Inc.

December 2011 - (Free Research)
In this brief yet insightful e-guide, you will get a side-by-side comparison of SAP and Oracle's data quality portfolios along with expert advice. 
(EGUIDE) READ ABSTRACT |

SAP® BusinessObjects™ Data Services: One Product For Data Quality and Data Integration by SAP America, Inc.

June 2009 - (Free Research)
Introducing SAP® BusinessObjects™ Data Services breakthrough technology software for the enterprise information management market. The software unifies our leading data-quality and integration solutions - helping your organization to move, transform, and improve virtually any type of data anywhere, at any frequency. 
(WHITE PAPER) READ ABSTRACT |

Making Data Work: Addressing Data Quality at the Enterprise Level by Informatica

January 2008 - (Free Research)
Achieving and maintaining high-quality data are critical to efficient IT and business operations, as well as to the success of strategic business initiatives and to your company's long-term competitive advantage. 
(WHITE PAPER) READ ABSTRACT |

Pervasive Data Profiler v4 by Pervasive Integration

January 2008 - (Free Research)
Pervasive Data Profiler™ ensures data quality. Proactively audit all types of data; automate testing against changing business data quality needs and compliance regulations. Get hyper-fast, multithreaded processing of large data sets or sample data 
(WHITE PAPER) READ ABSTRACT |

Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation

June 2008 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Data Quality by the Numbers: Best Practices for Managing Business Data by DataFlux Corporation

March 2008 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Building Data Quality Efforts Into Everyday Processes by DataFlux Corporation

July 2012 - (Free Research)
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. 
(EBOOK) READ ABSTRACT |

How to Get Funding for Data Quality Programs by DataFlux Corporation

June 2012 - (Free Research)
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. 
(EBOOK) READ ABSTRACT |

Observing Data Quality Service Level Agreements: Inspection, Monitoring, and Tracking by DataFlux Corporation

December 2008 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

SearchDataManagement.com Expert Buyer's Guide: Choosing data quality tools and software by IBM

September 2011 - (Free Research)
In this buyer's guide, learn how to weed through the various data quality tool vendors and get tips on selecting the right data quality management software that's right for your business. 
(EGUIDE) READ ABSTRACT |

Expert E-Book: Data Quality Throughout Your Oracle Evironment by Oracle Corporation

April 2013 - (Free Research)
This expert e-book outlines best practices for ensuring data quality throughout your Oracle environment.  Inside, compare options for handling both customer and product data, and learn the steps you need to take on you data quality initiative. 
(EBOOK) READ ABSTRACT |

Oracle Data Quality for Data Integrator and Oracle Data Profiling 11g by Oracle Corporation

August 2010 - (Free Research)
To ensure that information is accurate and consistent across complex systems, Oracle Data Quality for Data Integrator 11g and Oracle Data Profiling 11g provide a solution to integrate trusted data. Read this data sheet to learn more. 
(DATA SHEET) READ ABSTRACT |

Data Quality - The Foundation of Operational Effectiveness by Pitney Bowes Group 1 Software

April 2008 - (Free Research)
Operational and analytical business processes rely on a solid, high-quality data foundation, but companies often neglect data quality until a major problem occurs that could've been avoided. Learn about the benefits and importance of da... 
(WHITE PAPER) READ ABSTRACT |

Five Fundamental Data Quality Practices by Pitney Bowes Group 1 Software

September 2011 - (Free Research)
This white paper is a list of five data quality practices and how they can be implemented into an organization's daily data quality processes. 
(WHITE PAPER) READ ABSTRACT |

Data Quality: The Foundation of Operational Effectiveness by Pitney Bowes Group 1 Software

September 2011 - (Free Research)
This white paper discusses the importance of data quality operations and how to successfully implement a data quality strategy into your organization. 
(WHITE PAPER) READ ABSTRACT |

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